• NEPTUNE is evaluating urcosimod as a potential first-in-class treatment for neuropathic corneal pain
  • First patients enrolled by Dr. Melissa Toyos at Toyos Clinic in Nashville, TN

LONDON and NEW YORK, Oct. 06, 2026 (GLOBE NEWSWIRE) — OKYO Pharma Limited (Nasdaq: OKYO), a clinical-stage biopharmaceutical company developing investigational therapies for the treatment of neuropathic corneal pain (NCP) and anterior segment eye diseases, today announced first patients enrolled in Phase 3 NEPTUNE trial of urcosimod for neuropathic corneal pain (NCP).

“Neuropathic corneal pain is one of the most debilitating conditions I see in my practice, and right now we have no FDA approved therapy to offer these patients, many of whom have tried everything and are still suffering,” said Melissa Toyos, MD. “I believe this trial represents an important step toward determining whether this investigational therapy can address the significant unmet need faced by patients with neuropathic corneal pain.”

Neuropathic corneal pain (NCP) is a chronic, often severe, debilitating condition characterized by severe pain and sensitivity of the eyes, and in some cases the face or head. It is thought to result from damage or dysfunction of the corneal sensory nerves, often in combination with inflammatory processes, and may occur in association with a variety of underlying ocular conditions exhibiting pain that may be disproportionate to observable clinical findings. NCP remains a condition with no FDA-approved treatment options, representing a significant unmet medical need for patients.

“The activation of the first site and initiation of OKYO’s NEPTUNE trial represent an important milestone for building the clinical evidence necessary to support the potential first disease modifying treatment for neuropathic corneal pain (NCP),” said Flavio Mantelli, MD, PhD, Chief Medical Officer of OKYO Pharma. “We are honored to have Dr. Toyos enroll the first patients in the study while activation of other sites expands across leading U.S. medical centers.”

About NEPTUNE Phase 3 Study

The NEPTUNE (Neuropathic Eye Pain Treatment with Urcosimod & Nerve Evaluation) is evaluating urcosimod for neuropathic corneal pain (NCP) clinical trial has initiated in the United States. Patients will be enrolled at multiple clinical sites across the United States and Europe, including Italy, Spain, and France. Patients will receive 4 drops per day for 12 weeks. The primary efficacy endpoint is the change from baseline to end of treatment in ocular pain assessed by VAS score. Additional efficacy endpoints include Quality-of-Life scores and in-vivo confocal microscopy (IVCM) findings. The multicenter trial is designed as a registrational study in accordance with the U.S. Food and Drug Administration (FDA) guidance. For more information on the NEPTUNE study, please visit: NEPTUNE and NCT07838506 on clinicaltrials.gov.

About Urcosimod

OKYO’s lead candidate, urcosimod, is a first-in-class, lipid-conjugated chemerin peptide agonist of the ChemR23 G-protein-coupled-receptor which is typically found on immune cells of the eye responsible for the ocular inflammatory response, as well as on neurons and glial cells in the dorsal root ganglion. Urcosimod has demonstrated ocular analgesic and anti-inflammatory pharmacologic activity through its dual mechanism of action, supporting its therapeutic potential to address the significant unmet medical need for patients with neuropathic corneal pain.

About OKYO Pharma

OKYO Pharma Limited (Nasdaq: OKYO) is a clinical-stage biopharmaceutical company developing innovative therapies for the treatment of neuropathic corneal pain (NCP) and anterior segment eye diseases, with ordinary shares listed for trading on the Nasdaq Capital Market. For more information, please visit www.okyopharma.com and follow us on LinkedIn.

For further inquiries:

OKYO Pharma Ltd
Paul Spencer
Business Development and Investor Relations
+44 (0) 207 495 2379
Email: info@okyopharma.com

  • NEPTUNE is evaluating urcosimod as a potential first-in-class treatment for neuropathic corneal pain
  • First patients enrolled by Dr. Melissa Toyos at Toyos Clinic in Nashville, TN

LONDON and NEW YORK, Oct. 06, 2026 (GLOBE NEWSWIRE) — OKYO Pharma Limited (Nasdaq: OKYO), a clinical-stage biopharmaceutical company developing investigational therapies for the treatment of neuropathic corneal pain (NCP) and anterior segment eye diseases, today announced first patients enrolled in Phase 3 NEPTUNE trial of urcosimod for neuropathic corneal pain (NCP).

“Neuropathic corneal pain is one of the most debilitating conditions I see in my practice, and right now we have no FDA approved therapy to offer these patients, many of whom have tried everything and are still suffering,” said Melissa Toyos, MD. “I believe this trial represents an important step toward determining whether this investigational therapy can address the significant unmet need faced by patients with neuropathic corneal pain.”

Neuropathic corneal pain (NCP) is a chronic, often severe, debilitating condition characterized by severe pain and sensitivity of the eyes, and in some cases the face or head. It is thought to result from damage or dysfunction of the corneal sensory nerves, often in combination with inflammatory processes, and may occur in association with a variety of underlying ocular conditions exhibiting pain that may be disproportionate to observable clinical findings. NCP remains a condition with no FDA-approved treatment options, representing a significant unmet medical need for patients.

“The activation of the first site and initiation of OKYO’s NEPTUNE trial represent an important milestone for building the clinical evidence necessary to support the potential first disease modifying treatment for neuropathic corneal pain (NCP),” said Flavio Mantelli, MD, PhD, Chief Medical Officer of OKYO Pharma. “We are honored to have Dr. Toyos enroll the first patients in the study while activation of other sites expands across leading U.S. medical centers.”

About NEPTUNE Phase 3 Study

The NEPTUNE (Neuropathic Eye Pain Treatment with Urcosimod & Nerve Evaluation) is evaluating urcosimod for neuropathic corneal pain (NCP) clinical trial has initiated in the United States. Patients will be enrolled at multiple clinical sites across the United States and Europe, including Italy, Spain, and France. Patients will receive 4 drops per day for 12 weeks. The primary efficacy endpoint is the change from baseline to end of treatment in ocular pain assessed by VAS score. Additional efficacy endpoints include Quality-of-Life scores and in-vivo confocal microscopy (IVCM) findings. The multicenter trial is designed as a registrational study in accordance with the U.S. Food and Drug Administration (FDA) guidance. For more information on the NEPTUNE study, please visit: NEPTUNE and NCT07838506 on clinicaltrials.gov.

About Urcosimod

OKYO’s lead candidate, urcosimod, is a first-in-class, lipid-conjugated chemerin peptide agonist of the ChemR23 G-protein-coupled-receptor which is typically found on immune cells of the eye responsible for the ocular inflammatory response, as well as on neurons and glial cells in the dorsal root ganglion. Urcosimod has demonstrated ocular analgesic and anti-inflammatory pharmacologic activity through its dual mechanism of action, supporting its therapeutic potential to address the significant unmet medical need for patients with neuropathic corneal pain.

About OKYO Pharma

OKYO Pharma Limited (Nasdaq: OKYO) is a clinical-stage biopharmaceutical company developing innovative therapies for the treatment of neuropathic corneal pain (NCP) and anterior segment eye diseases, with ordinary shares listed for trading on the Nasdaq Capital Market. For more information, please visit www.okyopharma.com and follow us on LinkedIn.

For further inquiries:

OKYO Pharma Ltd
Paul Spencer
Business Development and Investor Relations
+44 (0) 207 495 2379
Email: info@okyopharma.com

Award honors foundational discoveries in optogenetics and circuit mapping

These discoveries laid the foundation for a new era in neuroscience and helped inspire MapLight’s circuit-based approach to drug discovery

SAN FRANCISCO and BOSTON, Oct. 06, 2026 (GLOBE NEWSWIRE) — MapLight Therapeutics (Nasdaq: MPLT) celebrates Karl Deisseroth, M.D., Ph.D., co-founder and Scientific Advisory Board member of MapLight, who was awarded the 2026 Nobel Prize in Physiology or Medicine. Dr. Deisseroth shares the honor with Peter Hegemann, Ph.D., of Humboldt University of Berlin, and Georg Nagel, Ph.D., of the University of Würzburg, for their discoveries concerning light-gated ion channels and optogenetics.

The Nobel Assembly recognized optogenetics for transforming scientists’ ability to study how nerve cells shape memories, feelings and behaviors in the living brain, laying the foundation for a new era in neuroscience. Over the past two decades, optogenetics has fundamentally advanced the understanding of the biological basis of behavior, cognition and neuropsychiatric disease.

Dr. Deisseroth’s academic breakthroughs enabled scientists to investigate causal relationships between specific neural circuits and behavior and inspired the founding of MapLight in 2018. MapLight translates insights from circuit neuroscience into a precision approach to drug discovery, using optogenetics and related tools to identify specific cell types and molecular targets linked to psychiatric and neurodevelopmental symptoms. The Company then develops oral small-molecule candidates designed to modulate disease-relevant circuit activity and provide potential therapeutic relief.

This approach underpins the translation of circuit biology into a diverse pipeline of early- and clinical-stage product candidates. The Phase 2 ZEPHYR study of ML-007C-MA, which evolved from optogenetic and other preclinical work at MapLight, recently met its primary endpoint, demonstrating a statistically significant and clinically meaningful improvement in schizophrenia symptoms. Based on these results, MapLight announced its intention to engage with the FDA in an End-of-Phase 2 (EOP2) meeting and subsequently initiate a Phase 3 study in schizophrenia. Similarly, preclinical work leveraging optogenetics in models of autism informed the design and conduct of the Phase 2 IRIS study. Based on these results, MapLight announced its intention to engage with the FDA in an EOP2 meeting to discuss a planned Phase 3 program in irritability associated with autism.

“Optogenetics began as a way to ask a basic question: how does electrical activity in specific cells give rise to human behavior and emotion?” said Dr. Deisseroth. “Neuroscience has long needed a better understanding of the functional biology of neural circuits and the relationship between circuit dysfunction and disease. I am deeply grateful to the institutions, trainees, and colleagues that have enabled and supported my work over the years, and to Peter Hegemann and Georg Nagel for their foundational contributions. As a practicing psychiatrist, seeing these basic biological discoveries move from the lab into human clinical trials is the ultimate realization of this work.”

“On behalf of everyone at MapLight, congratulations to Karl on this monumental achievement,” said Christopher Kroeger, M.D., Chief Executive Officer of MapLight. “The Nobel recognition of Karl’s academic work is a triumph for basic science and underscores the transformative impact of understanding the brain at the circuit level. Karl’s Nobel work inspired MapLight’s founding premise: that understanding the causal relationship between neural circuits and behavior can enable a more precise approach to developing medicines for complex CNS disorders. We are incredibly proud to celebrate this extraordinary honor with Karl and to continue advancing the mission that his work inspired.”

Additional information about the 2026 Nobel Prize in Physiology or Medicine and the discoveries recognized by the Nobel Assembly is available in its official announcement.

About MapLight Therapeutics

MapLight Therapeutics is a clinical-stage biopharmaceutical company focused on improving the lives of patients suffering from debilitating central nervous system disorders. The Company was founded by globally recognized leaders in psychiatry and neuroscience research to address the lack of circuit-specific pharmacotherapies available for patients. The Company’s discovery platform holds the potential to fill this void by identifying neural circuits causally linked to disease and targeting those circuits for therapeutic modulation.

For more information, please visit www.maplightrx.com.

For investor inquiries: investors@maplightrx.com

For media inquiries: media@maplightrx.com

Award honors foundational discoveries in optogenetics and circuit mapping

These discoveries laid the foundation for a new era in neuroscience and helped inspire MapLight’s circuit-based approach to drug discovery

SAN FRANCISCO and BOSTON, Oct. 06, 2026 (GLOBE NEWSWIRE) — MapLight Therapeutics (Nasdaq: MPLT) celebrates Karl Deisseroth, M.D., Ph.D., co-founder and Scientific Advisory Board member of MapLight, who was awarded the 2026 Nobel Prize in Physiology or Medicine. Dr. Deisseroth shares the honor with Peter Hegemann, Ph.D., of Humboldt University of Berlin, and Georg Nagel, Ph.D., of the University of Würzburg, for their discoveries concerning light-gated ion channels and optogenetics.

The Nobel Assembly recognized optogenetics for transforming scientists’ ability to study how nerve cells shape memories, feelings and behaviors in the living brain, laying the foundation for a new era in neuroscience. Over the past two decades, optogenetics has fundamentally advanced the understanding of the biological basis of behavior, cognition and neuropsychiatric disease.

Dr. Deisseroth’s academic breakthroughs enabled scientists to investigate causal relationships between specific neural circuits and behavior and inspired the founding of MapLight in 2018. MapLight translates insights from circuit neuroscience into a precision approach to drug discovery, using optogenetics and related tools to identify specific cell types and molecular targets linked to psychiatric and neurodevelopmental symptoms. The Company then develops oral small-molecule candidates designed to modulate disease-relevant circuit activity and provide potential therapeutic relief.

This approach underpins the translation of circuit biology into a diverse pipeline of early- and clinical-stage product candidates. The Phase 2 ZEPHYR study of ML-007C-MA, which evolved from optogenetic and other preclinical work at MapLight, recently met its primary endpoint, demonstrating a statistically significant and clinically meaningful improvement in schizophrenia symptoms. Based on these results, MapLight announced its intention to engage with the FDA in an End-of-Phase 2 (EOP2) meeting and subsequently initiate a Phase 3 study in schizophrenia. Similarly, preclinical work leveraging optogenetics in models of autism informed the design and conduct of the Phase 2 IRIS study. Based on these results, MapLight announced its intention to engage with the FDA in an EOP2 meeting to discuss a planned Phase 3 program in irritability associated with autism.

“Optogenetics began as a way to ask a basic question: how does electrical activity in specific cells give rise to human behavior and emotion?” said Dr. Deisseroth. “Neuroscience has long needed a better understanding of the functional biology of neural circuits and the relationship between circuit dysfunction and disease. I am deeply grateful to the institutions, trainees, and colleagues that have enabled and supported my work over the years, and to Peter Hegemann and Georg Nagel for their foundational contributions. As a practicing psychiatrist, seeing these basic biological discoveries move from the lab into human clinical trials is the ultimate realization of this work.”

“On behalf of everyone at MapLight, congratulations to Karl on this monumental achievement,” said Christopher Kroeger, M.D., Chief Executive Officer of MapLight. “The Nobel recognition of Karl’s academic work is a triumph for basic science and underscores the transformative impact of understanding the brain at the circuit level. Karl’s Nobel work inspired MapLight’s founding premise: that understanding the causal relationship between neural circuits and behavior can enable a more precise approach to developing medicines for complex CNS disorders. We are incredibly proud to celebrate this extraordinary honor with Karl and to continue advancing the mission that his work inspired.”

Additional information about the 2026 Nobel Prize in Physiology or Medicine and the discoveries recognized by the Nobel Assembly is available in its official announcement.

About MapLight Therapeutics

MapLight Therapeutics is a clinical-stage biopharmaceutical company focused on improving the lives of patients suffering from debilitating central nervous system disorders. The Company was founded by globally recognized leaders in psychiatry and neuroscience research to address the lack of circuit-specific pharmacotherapies available for patients. The Company’s discovery platform holds the potential to fill this void by identifying neural circuits causally linked to disease and targeting those circuits for therapeutic modulation.

For more information, please visit www.maplightrx.com.

For investor inquiries: investors@maplightrx.com

For media inquiries: media@maplightrx.com

Company Launching Max for All Residential In-Home Trades, a Max Pilot for Commercial and Roofing Customers, Announcing Homh, and Other Key Product Capabilities at Pantheon 2026

ORLANDO, Fla., Oct. 06, 2026 (GLOBE NEWSWIRE) — ServiceTitan (Nasdaq: TTAN), the software platform that powers the trades, is announcing today at Pantheon, ServiceTitan’s annual user conference, that the AI-powered Max package is now available to every residential in-home contractor. The company is also launching a limited Max pilot for commercial and roofing contractors. ServiceTitan also launched the Atlas mobile app, and Homh, its new consumer demand generation platform.

The Max package is the fully loaded version of ServiceTitan’s Agentic Operating System. Its agents draw on context across demand, field, and office to help customers better understand their business, determine what should happen next, and then action, execute and coordinate that work across connected workflows. Rather than optimizing each workflow in isolation, Max can orchestrate nearly the entire business. Over time, Max learns the business to deliver compounding benefits, which have so far resulted in powerful revenue and profitability outcomes for customers.

“The trades are continuing to prove their resilience, while building the physical foundation of the AI revolution at the same time,” said Ara Mahdessian, co-founder and CEO of ServiceTitan. “They deserve to benefit from the technology they’re helping make possible. Bringing Max to every residential in-home contractor gives our customers the ultimate Agentic Operating System to automate complex workflows, adapt in real time, and scale their businesses.”

In addition to expanding access for residential contractors, ServiceTitan is introducing a limited pilot of Max for commercial and roofing contractors. The pilot pairs Atlas and core automations with agents already live in the field, including a site walk and findings write-up copilot, a daily log agent, and an invoice review agent, with an agreement review agent, touchless AP autopilot, a collections agent, and an AFP recommendation advisor expected to come soon.

ServiceTitan is also introducing the Atlas mobile app, a mobile experience that puts a business’s insights and agents directly on an owner’s phone. Owners can ask Atlas about sales performance, revenue or why a number moved and get an answer grounded in the same company-wide data and context running the rest of the business, rather than waiting on a static report.

ServiceTitan is also announcing Homh, its new consumer demand generation platform that makes selected ServiceTitan contractors discoverable and bookable in new channels where consumers or their AI agents are searching. Homh connects homeowners and their AI agents with a network of high-performing ServiceTitan contractors and brings unique ServiceTitan capabilities into the discovery and booking experience, including objective performance signals, real-time availability, and confirmed appointment booking directly into ServiceTitan. Homh is available directly at www.homh.com and works with ChatGPT, Gemini, and Claude, helping participating contractors reach homeowners who are increasingly using AI tools to find and book contractors. As these platforms evolve, ServiceTitan plans to continue working with leading AI providers to make contractors on Homh more discoverable whenever homeowners use AI tools to find and book home services.

ServiceTitan is also expanding its partner ecosystem surrounding the platform, introducing new integrations and capabilities across booking, operations and financing including:

  • Adaptive Capacity (AdCap): Gives AI CSRs access to Adaptive Capacity, the intelligence that powers ServiceTitan’s own scheduling, for intelligent booking.
  • Ramp partnership: A direct integration into ServiceTitan gives contractors a clear view of job profitability without manual reconciliation.
  • Supplier self-service portal: Lets suppliers self-onboard, with several major distributors and manufacturers already live.
  • Financing Preapprovals: With Prescreen, built with GreenSky, and QuickScreen — Synchrony’s firm offer of credit, you can identify pre-qualified homeowners up front, making financing part of the conversation from the start.

“AI is changing both how contractors run their businesses and how customers find them,” said Vahe Kuzoyan, co-founder and President of ServiceTitan. “Our job is to turn that progress into lasting value for the trades. That means giving AI agents the context to understand each business, the ability to work alongside its people, and clear rules for when to act and when to ask. ServiceTitan is fiercely committed to helping contractors build more profitable businesses, while delivering exceptional customer service.”

This year’s Pantheon announcements make Max the most advanced way residential contractors can run their businesses, extend that same automation to commercial and exteriors trades, and connect the platform to a growing network of partners, suppliers and AI agents reaching customers.

To learn more about all of the new features and announcements at Pantheon 2026, visit the Pantheon Live Blog.

Pantheon 2026 Keynote Sessions

Pantheon will feature the following keynote presentations from ServiceTitan leaders, and a live webcast of the following keynote sessions will be broadcast here. A replay will be available for 90 days:

October 6, 2026

  • 8:30 AM ET – Welcome Keynote with Ara Mahdessian, CEO and Co-Founder of ServiceTitan
  • 11:30 AM ET – Run Your Software, Not Your Business: Residential Keynote, led by Abhi Mathur, Chief Technology and Product Officer
  • 2:00 PM ET – The New World: Vahe Kuzoyan, Co-Founder and President
  • 3:30 PM ET – The Next Era of Commercial: Alex Kablanian, SVP & GM of Commercial and Construction

October 7, 2026

  • 10:15 AM ET – The Power of the Ecosystem: ServiceTitan Partners

About ServiceTitan
ServiceTitan is AI for the trades—a purpose-built agentic operating system designed to automate the workflows that run a contracting business, from enterprise commercial construction to residential field service, exteriors and beyond. The company’s end-to-end solution gives contractors the tools they need to run and grow their business, while providing a stellar customer experience. Learn how ServiceTitan is equipping tradespeople with the AI technology they need to keep the world running at: www.servicetitan.com

© 2026 ServiceTitan. All rights reserved. ServiceTitan, the ServiceTitan logo, and all ServiceTitan product and service names mentioned herein are registered trademarks or unregistered trademarks of ServiceTitan, Inc. in the United States and other countries. Other brand names and marks mentioned herein are for identification purposes only and may be the trademarks of their respective holder(s).

Press Contact
Max Wertheimer
ServiceTitan, Inc.
Press@servicetitan.com

Forward-Looking Statements

This press release contains forward-looking statements within the meaning of the Securities Act of 1933, as amended, the Securities Exchange Act of 1934, as amended, and the Private Securities Litigation Reform Act of 1995. All statements other than statements of historical fact contained in this press release may be forward-looking statements. These include statements regarding ServiceTitan’s plans for current or future products, services or features, including the Max package, the Max pilot for commercial and exteriors contractors, the Atlas mobile app, Homh, partner integrations, and other AI and agentic functionality or features; the expected availability, timing and benefits of those products, services and features; plans to extend Homh into consumer large language models and AI advertising platforms; and our market positioning and business or pricing strategy. They also include statements identified by words such as “expects,” “anticipates,” “believes,” “plans,” “intends,” “will,” “coming soon,” and similar expressions. These forward-looking statements are not promises or guarantees of future results. They are based on our current expectations only and are subject to various risks and uncertainties, including those described in our most recent Annual Report on Form 10-K and Quarterly Report on Form 10-Q, as updated in our other filings with the U.S. Securities and Exchange Commission from time to time. Actual results may differ materially from those we anticipate in these statements due to several factors, including those referenced in our filings with the U.S. Securities and Exchange Commission. Products, services or features described in this press release that are not currently generally available, including those described as “coming soon,” may not be delivered on the anticipated timeline or at all. Purchasing decisions should be based on products, services and features that are currently generally available. Forward-looking statements, including those made during the Pantheon 2026 keynote sessions and any replay of them, speak only as of the date they are made, and ServiceTitan undertakes no obligation to update any forward-looking statements, except as required by law.

Company Launching Max for All Residential In-Home Trades, a Max Pilot for Commercial and Roofing Customers, Announcing Homh, and Other Key Product Capabilities at Pantheon 2026

ORLANDO, Fla., Oct. 06, 2026 (GLOBE NEWSWIRE) — ServiceTitan (Nasdaq: TTAN), the software platform that powers the trades, is announcing today at Pantheon, ServiceTitan’s annual user conference, that the AI-powered Max package is now available to every residential in-home contractor. The company is also launching a limited Max pilot for commercial and roofing contractors. ServiceTitan also launched the Atlas mobile app, and Homh, its new consumer demand generation platform.

The Max package is the fully loaded version of ServiceTitan’s Agentic Operating System. Its agents draw on context across demand, field, and office to help customers better understand their business, determine what should happen next, and then action, execute and coordinate that work across connected workflows. Rather than optimizing each workflow in isolation, Max can orchestrate nearly the entire business. Over time, Max learns the business to deliver compounding benefits, which have so far resulted in powerful revenue and profitability outcomes for customers.

“The trades are continuing to prove their resilience, while building the physical foundation of the AI revolution at the same time,” said Ara Mahdessian, co-founder and CEO of ServiceTitan. “They deserve to benefit from the technology they’re helping make possible. Bringing Max to every residential in-home contractor gives our customers the ultimate Agentic Operating System to automate complex workflows, adapt in real time, and scale their businesses.”

In addition to expanding access for residential contractors, ServiceTitan is introducing a limited pilot of Max for commercial and roofing contractors. The pilot pairs Atlas and core automations with agents already live in the field, including a site walk and findings write-up copilot, a daily log agent, and an invoice review agent, with an agreement review agent, touchless AP autopilot, a collections agent, and an AFP recommendation advisor expected to come soon.

ServiceTitan is also introducing the Atlas mobile app, a mobile experience that puts a business’s insights and agents directly on an owner’s phone. Owners can ask Atlas about sales performance, revenue or why a number moved and get an answer grounded in the same company-wide data and context running the rest of the business, rather than waiting on a static report.

ServiceTitan is also announcing Homh, its new consumer demand generation platform that makes selected ServiceTitan contractors discoverable and bookable in new channels where consumers or their AI agents are searching. Homh connects homeowners and their AI agents with a network of high-performing ServiceTitan contractors and brings unique ServiceTitan capabilities into the discovery and booking experience, including objective performance signals, real-time availability, and confirmed appointment booking directly into ServiceTitan. Homh is available directly at www.homh.com and works with ChatGPT, Gemini, and Claude, helping participating contractors reach homeowners who are increasingly using AI tools to find and book contractors. As these platforms evolve, ServiceTitan plans to continue working with leading AI providers to make contractors on Homh more discoverable whenever homeowners use AI tools to find and book home services.

ServiceTitan is also expanding its partner ecosystem surrounding the platform, introducing new integrations and capabilities across booking, operations and financing including:

  • Adaptive Capacity (AdCap): Gives AI CSRs access to Adaptive Capacity, the intelligence that powers ServiceTitan’s own scheduling, for intelligent booking.
  • Ramp partnership: A direct integration into ServiceTitan gives contractors a clear view of job profitability without manual reconciliation.
  • Supplier self-service portal: Lets suppliers self-onboard, with several major distributors and manufacturers already live.
  • Financing Preapprovals: With Prescreen, built with GreenSky, and QuickScreen — Synchrony’s firm offer of credit, you can identify pre-qualified homeowners up front, making financing part of the conversation from the start.

“AI is changing both how contractors run their businesses and how customers find them,” said Vahe Kuzoyan, co-founder and President of ServiceTitan. “Our job is to turn that progress into lasting value for the trades. That means giving AI agents the context to understand each business, the ability to work alongside its people, and clear rules for when to act and when to ask. ServiceTitan is fiercely committed to helping contractors build more profitable businesses, while delivering exceptional customer service.”

This year’s Pantheon announcements make Max the most advanced way residential contractors can run their businesses, extend that same automation to commercial and exteriors trades, and connect the platform to a growing network of partners, suppliers and AI agents reaching customers.

To learn more about all of the new features and announcements at Pantheon 2026, visit the Pantheon Live Blog.

Pantheon 2026 Keynote Sessions

Pantheon will feature the following keynote presentations from ServiceTitan leaders, and a live webcast of the following keynote sessions will be broadcast here. A replay will be available for 90 days:

October 6, 2026

  • 8:30 AM ET – Welcome Keynote with Ara Mahdessian, CEO and Co-Founder of ServiceTitan
  • 11:30 AM ET – Run Your Software, Not Your Business: Residential Keynote, led by Abhi Mathur, Chief Technology and Product Officer
  • 2:00 PM ET – The New World: Vahe Kuzoyan, Co-Founder and President
  • 3:30 PM ET – The Next Era of Commercial: Alex Kablanian, SVP & GM of Commercial and Construction

October 7, 2026

  • 10:15 AM ET – The Power of the Ecosystem: ServiceTitan Partners

About ServiceTitan
ServiceTitan is AI for the trades—a purpose-built agentic operating system designed to automate the workflows that run a contracting business, from enterprise commercial construction to residential field service, exteriors and beyond. The company’s end-to-end solution gives contractors the tools they need to run and grow their business, while providing a stellar customer experience. Learn how ServiceTitan is equipping tradespeople with the AI technology they need to keep the world running at: www.servicetitan.com

© 2026 ServiceTitan. All rights reserved. ServiceTitan, the ServiceTitan logo, and all ServiceTitan product and service names mentioned herein are registered trademarks or unregistered trademarks of ServiceTitan, Inc. in the United States and other countries. Other brand names and marks mentioned herein are for identification purposes only and may be the trademarks of their respective holder(s).

Press Contact
Max Wertheimer
ServiceTitan, Inc.
Press@servicetitan.com

Forward-Looking Statements

This press release contains forward-looking statements within the meaning of the Securities Act of 1933, as amended, the Securities Exchange Act of 1934, as amended, and the Private Securities Litigation Reform Act of 1995. All statements other than statements of historical fact contained in this press release may be forward-looking statements. These include statements regarding ServiceTitan’s plans for current or future products, services or features, including the Max package, the Max pilot for commercial and exteriors contractors, the Atlas mobile app, Homh, partner integrations, and other AI and agentic functionality or features; the expected availability, timing and benefits of those products, services and features; plans to extend Homh into consumer large language models and AI advertising platforms; and our market positioning and business or pricing strategy. They also include statements identified by words such as “expects,” “anticipates,” “believes,” “plans,” “intends,” “will,” “coming soon,” and similar expressions. These forward-looking statements are not promises or guarantees of future results. They are based on our current expectations only and are subject to various risks and uncertainties, including those described in our most recent Annual Report on Form 10-K and Quarterly Report on Form 10-Q, as updated in our other filings with the U.S. Securities and Exchange Commission from time to time. Actual results may differ materially from those we anticipate in these statements due to several factors, including those referenced in our filings with the U.S. Securities and Exchange Commission. Products, services or features described in this press release that are not currently generally available, including those described as “coming soon,” may not be delivered on the anticipated timeline or at all. Purchasing decisions should be based on products, services and features that are currently generally available. Forward-looking statements, including those made during the Pantheon 2026 keynote sessions and any replay of them, speak only as of the date they are made, and ServiceTitan undertakes no obligation to update any forward-looking statements, except as required by law.

  • Question #1: Will AI Replace Customer Service Agents?
  • Question #2: What Will the Customer Service Agent Role Look Like in the Future?
  • Question #3: When Should a Human Handle Customer Service Instead of AI?
  • Question #4: How Do You Performance-Manage AI in a Contact Center?

Vancouver, BC, Oct. 06, 2026 (GLOBE NEWSWIRE) — As enterprise contact centers move AI past the pilot stage, their leaders are converging on the same short list of questions about where AI fits, what changes for human agents and how to manage it once it is live. TELUS Digital, a customer experience transformation partner that operates the full AI value chain with enterprises, including training, building, running and protecting AI, has published its answers to the four questions support leaders ask. The company’s position across both contact center operations and enterprise AI shapes how it answers them. The goal is better outcomes for the business, the customer and the agent, delivered through whichever technology fits the use case, whether that is TELUS Digital’s Fuel iX™ platform or a partner’s.

Erin Walker, Global Vice President of CX AI, Business & Delivery at TELUS Digital, said, “The central theme behind each of these questions goes back to understanding how people and AI divide the work, and who is accountable for the result. AI should take the parts of a customer interaction that slow an agent down, so the agent can spend their judgment where it counts. Get that division right for each use case and you get a better experience for the customer and a better job for the agent at the same time.”

KEY FACTS

  • TELUS Digital is a customer experience transformation partner that operates the full AI value chain with enterprises, training, building, running and protecting AI through its products and a deep technology-partner ecosystem.
  • TELUS Digital’s approach centers on delivering better business, customer and agent outcomes through the technology that fits each use case, rather than a single tool.
  • Fuel iX is TELUS Digital’s proprietary enterprise AI platform and suite of products for clients to manage, monitor and maintain generative AI across the enterprise.


Will AI Replace Customer Service Agents?

AI is changing the kind of work agents do, not eliminating the need for them. As automation takes on the simple, repetitive interactions, it becomes possible to handle some contacts autonomously end to end, while in others, AI elevates the work agents do, allowing them to focus on the judgment calls, problem-solving and human connection that a customer needs most. The roles shift toward that higher-skill work rather than disappearing.

Different contexts call for different approaches. Some routine, well-defined interactions can be handled by automation, including agentic AI that completes a task end to end. Others need a person from the first moment. Many sit in between, where AI assembles context and drafts a path and the agent decides. Fraud-related and compliance-heavy interactions are their own category, where regulatory requirements and the cost of an error make human validation essential rather than optional. The work lies in matching each interaction type to the right approach instead of applying one answer across the board. In the deployments TELUS Digital works on, AI is used to enable agents rather than replace them. When AI helps an agent resolve an issue faster and more accurately, the result is a better experience for the customer, which is the actual goal.

What Will the Customer Service Agent Role Look Like in the Future?

As automation absorbs routine, well-documented requests, the agent’s role concentrates on the interactions that need a person. These include emotionally charged conversations, ambiguous account issues and the escalations where a customer has exhausted self-service options and is still seeking resolution. They also include fraud and regulated-industry cases, where the agent has to confirm the system’s output is correct before acting on it. That shift raises the skill profile of the role. Agents spend more of their time on complex, higher-value interactions and less on repetitive lookups, which changes how their performance is developed and measured. Speed to proficiency becomes a more meaningful measure than the raw volume of calls handled because the remaining work depends on skill rather than speed.

When Should a Human Handle Customer Service Instead of AI?

Routine, well-documented requests, such as order status updates, account changes and password resets, are suited to automation, but several situations point the other way. Complex or emotionally charged interactions, such as a billing dispute that needs judgment or a service failure that needs an urgent fix, are where customers want to work with a person. Instances involving identity checks, suspected fraudulent transactions and regulated disclosures require a human to validate what the automation surfaces. This is where customer services and regulatory compliance overlap.

High-value customers and high-stakes interactions warrant a concierge level of service that a human agent equipped with AI is better positioned to deliver. When a customer has worked through the available self-service tools and chatbots and is not getting anywhere, they need a live agent even if the issue is simple and the customer is calm. Effective customer experience design instantly handles routine requests through automation and makes sure a human agent is reachable the moment the automated path stops working with the context already assembled so the customer does not start over.

How Do You Performance-Manage AI in a Contact Center?

Managing an AI deployment is closer to workforce management than to installing software. The same discipline a contact center applies to staffing, scheduling and agent development, where it matches capacity to demand and coaching performance over time, applies to the AI in the operation. That means deciding which interactions a bot handles and which route to an agent and continually evolving your approach as performance data becomes available. It also means watching the metrics that reflect meaningful outcomes rather than a single efficiency number. 

Average handle time is a useful example of why a single number misleads. When AI absorbs the simplest tickets automatically, the interactions left for agents are the harder ones, so average handle time can rise even as the operation improves because human time is going to the customers whose needs actually require it. Performance-managing AI means reading the metrics in context, looking at first contact resolution, customer satisfaction and the quality of the interactions that reach agents, then adjusting the division of work as the business changes.

Frequently Asked Questions

Question: For a specific AI tool, how do you tell whether it is working, and does it matter if it is agent-facing or customer-facing?
Answer: It does matter because a customer-facing tool, such as a self-service bot, is often judged on deflection and whether customers reach resolution without frustration. In this context, the key signals are containment quality and clean handoff to a person when needed. An agent-facing tool, such as real-time assist, is judged on whether it helps the agent resolve the interaction better, so the signals are often resolution quality and agent adoption. In both cases, a single efficiency metric read in isolation can be misleading. The useful read weighs resolution and customer satisfaction against how the tool affects agents and downstream work.

Question: How do you keep an AI customer service tool from giving a confident but wrong answer?
Answer: A frequent cause is fragmented source material, where a tool draws from multiple, sometimes conflicting internal documents and produces something plausible rather than flagging that it is unsure. Part of the answer is governing model access and content centrally so answers draw from current, consistent sources. The other part is automated checking. This means running the system’s responses against safety and accuracy checks before they reach a customer, so a wrong or non-compliant answer is caught in testing rather than on a live interaction.

Question: Customer service involves sensitive data. How does TELUS Digital handle the privacy stakes?
Answer: Customer service conversations routinely include financial and personal information, which raises the stakes on how that data is stored, accessed and used to train or fine-tune a model. Privacy obligations differ by industry, geography and what a given company’s customers expect, so the work starts with aligning on the specific requirements that govern each engagement. TELUS Digital approaches this through privacy-by-design engineering and enterprise governance. The Fuel iX platform earned the first Privacy by Design certification (ISO 31700-1) for its GenAI-powered customer support chatbot, and it is built to let enterprises manage, monitor and control how generative AI accesses data across the operation. Protecting AI is part of the value chain TELUS Digital operates with clients, built in from the start rather than added at the end.

About TELUS Digital

TELUS Digital crafts unique and enduring experiences for customers and employees and creates future-focused digital transformations that deliver value for our clients. We are the brand behind the brands. Our global team members are both passionate ambassadors of our clients’ products and services and technology experts resolute in our pursuit to elevate their end customer journeys, solve business challenges, mitigate risks, and drive continuous innovation. Our portfolio of end-to-end, integrated capabilities include customer experience management, digital solutions, such as cloud solutions, AI-fueled automation, front-end digital design and consulting services, AI & data solutions, including computer vision, and trust, safety and security services. Fuel iXTM is TELUS Digital’s proprietary platform and suite of products for clients to manage, monitor and maintain generative AI across the enterprise, offering both standardized AI capabilities and custom application development tools for creating tailored enterprise solutions.

Powered by purpose, TELUS Digital leverages technology, human ingenuity and compassion to serve customers and create inclusive, thriving communities in the regions where we operate around the world. Guided by our Humanity-in-the-Loop principles, we take a responsible approach to the transformational technologies we develop and deploy by proactively considering and addressing the broader impacts of our work. Learn more at: telusdigital.com.

CONTACT: Sarah Evans, CEO
Zen Media
sarah@zenmedia.com

  • Question #1: Will AI Replace Customer Service Agents?
  • Question #2: What Will the Customer Service Agent Role Look Like in the Future?
  • Question #3: When Should a Human Handle Customer Service Instead of AI?
  • Question #4: How Do You Performance-Manage AI in a Contact Center?

Vancouver, BC, Oct. 06, 2026 (GLOBE NEWSWIRE) — As enterprise contact centers move AI past the pilot stage, their leaders are converging on the same short list of questions about where AI fits, what changes for human agents and how to manage it once it is live. TELUS Digital, a customer experience transformation partner that operates the full AI value chain with enterprises, including training, building, running and protecting AI, has published its answers to the four questions support leaders ask. The company’s position across both contact center operations and enterprise AI shapes how it answers them. The goal is better outcomes for the business, the customer and the agent, delivered through whichever technology fits the use case, whether that is TELUS Digital’s Fuel iX™ platform or a partner’s.

Erin Walker, Global Vice President of CX AI, Business & Delivery at TELUS Digital, said, “The central theme behind each of these questions goes back to understanding how people and AI divide the work, and who is accountable for the result. AI should take the parts of a customer interaction that slow an agent down, so the agent can spend their judgment where it counts. Get that division right for each use case and you get a better experience for the customer and a better job for the agent at the same time.”

KEY FACTS

  • TELUS Digital is a customer experience transformation partner that operates the full AI value chain with enterprises, training, building, running and protecting AI through its products and a deep technology-partner ecosystem.
  • TELUS Digital’s approach centers on delivering better business, customer and agent outcomes through the technology that fits each use case, rather than a single tool.
  • Fuel iX is TELUS Digital’s proprietary enterprise AI platform and suite of products for clients to manage, monitor and maintain generative AI across the enterprise.


Will AI Replace Customer Service Agents?

AI is changing the kind of work agents do, not eliminating the need for them. As automation takes on the simple, repetitive interactions, it becomes possible to handle some contacts autonomously end to end, while in others, AI elevates the work agents do, allowing them to focus on the judgment calls, problem-solving and human connection that a customer needs most. The roles shift toward that higher-skill work rather than disappearing.

Different contexts call for different approaches. Some routine, well-defined interactions can be handled by automation, including agentic AI that completes a task end to end. Others need a person from the first moment. Many sit in between, where AI assembles context and drafts a path and the agent decides. Fraud-related and compliance-heavy interactions are their own category, where regulatory requirements and the cost of an error make human validation essential rather than optional. The work lies in matching each interaction type to the right approach instead of applying one answer across the board. In the deployments TELUS Digital works on, AI is used to enable agents rather than replace them. When AI helps an agent resolve an issue faster and more accurately, the result is a better experience for the customer, which is the actual goal.

What Will the Customer Service Agent Role Look Like in the Future?

As automation absorbs routine, well-documented requests, the agent’s role concentrates on the interactions that need a person. These include emotionally charged conversations, ambiguous account issues and the escalations where a customer has exhausted self-service options and is still seeking resolution. They also include fraud and regulated-industry cases, where the agent has to confirm the system’s output is correct before acting on it. That shift raises the skill profile of the role. Agents spend more of their time on complex, higher-value interactions and less on repetitive lookups, which changes how their performance is developed and measured. Speed to proficiency becomes a more meaningful measure than the raw volume of calls handled because the remaining work depends on skill rather than speed.

When Should a Human Handle Customer Service Instead of AI?

Routine, well-documented requests, such as order status updates, account changes and password resets, are suited to automation, but several situations point the other way. Complex or emotionally charged interactions, such as a billing dispute that needs judgment or a service failure that needs an urgent fix, are where customers want to work with a person. Instances involving identity checks, suspected fraudulent transactions and regulated disclosures require a human to validate what the automation surfaces. This is where customer services and regulatory compliance overlap.

High-value customers and high-stakes interactions warrant a concierge level of service that a human agent equipped with AI is better positioned to deliver. When a customer has worked through the available self-service tools and chatbots and is not getting anywhere, they need a live agent even if the issue is simple and the customer is calm. Effective customer experience design instantly handles routine requests through automation and makes sure a human agent is reachable the moment the automated path stops working with the context already assembled so the customer does not start over.

How Do You Performance-Manage AI in a Contact Center?

Managing an AI deployment is closer to workforce management than to installing software. The same discipline a contact center applies to staffing, scheduling and agent development, where it matches capacity to demand and coaching performance over time, applies to the AI in the operation. That means deciding which interactions a bot handles and which route to an agent and continually evolving your approach as performance data becomes available. It also means watching the metrics that reflect meaningful outcomes rather than a single efficiency number. 

Average handle time is a useful example of why a single number misleads. When AI absorbs the simplest tickets automatically, the interactions left for agents are the harder ones, so average handle time can rise even as the operation improves because human time is going to the customers whose needs actually require it. Performance-managing AI means reading the metrics in context, looking at first contact resolution, customer satisfaction and the quality of the interactions that reach agents, then adjusting the division of work as the business changes.

Frequently Asked Questions

Question: For a specific AI tool, how do you tell whether it is working, and does it matter if it is agent-facing or customer-facing?
Answer: It does matter because a customer-facing tool, such as a self-service bot, is often judged on deflection and whether customers reach resolution without frustration. In this context, the key signals are containment quality and clean handoff to a person when needed. An agent-facing tool, such as real-time assist, is judged on whether it helps the agent resolve the interaction better, so the signals are often resolution quality and agent adoption. In both cases, a single efficiency metric read in isolation can be misleading. The useful read weighs resolution and customer satisfaction against how the tool affects agents and downstream work.

Question: How do you keep an AI customer service tool from giving a confident but wrong answer?
Answer: A frequent cause is fragmented source material, where a tool draws from multiple, sometimes conflicting internal documents and produces something plausible rather than flagging that it is unsure. Part of the answer is governing model access and content centrally so answers draw from current, consistent sources. The other part is automated checking. This means running the system’s responses against safety and accuracy checks before they reach a customer, so a wrong or non-compliant answer is caught in testing rather than on a live interaction.

Question: Customer service involves sensitive data. How does TELUS Digital handle the privacy stakes?
Answer: Customer service conversations routinely include financial and personal information, which raises the stakes on how that data is stored, accessed and used to train or fine-tune a model. Privacy obligations differ by industry, geography and what a given company’s customers expect, so the work starts with aligning on the specific requirements that govern each engagement. TELUS Digital approaches this through privacy-by-design engineering and enterprise governance. The Fuel iX platform earned the first Privacy by Design certification (ISO 31700-1) for its GenAI-powered customer support chatbot, and it is built to let enterprises manage, monitor and control how generative AI accesses data across the operation. Protecting AI is part of the value chain TELUS Digital operates with clients, built in from the start rather than added at the end.

About TELUS Digital

TELUS Digital crafts unique and enduring experiences for customers and employees and creates future-focused digital transformations that deliver value for our clients. We are the brand behind the brands. Our global team members are both passionate ambassadors of our clients’ products and services and technology experts resolute in our pursuit to elevate their end customer journeys, solve business challenges, mitigate risks, and drive continuous innovation. Our portfolio of end-to-end, integrated capabilities include customer experience management, digital solutions, such as cloud solutions, AI-fueled automation, front-end digital design and consulting services, AI & data solutions, including computer vision, and trust, safety and security services. Fuel iXTM is TELUS Digital’s proprietary platform and suite of products for clients to manage, monitor and maintain generative AI across the enterprise, offering both standardized AI capabilities and custom application development tools for creating tailored enterprise solutions.

Powered by purpose, TELUS Digital leverages technology, human ingenuity and compassion to serve customers and create inclusive, thriving communities in the regions where we operate around the world. Guided by our Humanity-in-the-Loop principles, we take a responsible approach to the transformational technologies we develop and deploy by proactively considering and addressing the broader impacts of our work. Learn more at: telusdigital.com.

CONTACT: Sarah Evans, CEO
Zen Media
sarah@zenmedia.com

TORONTO, Oct. 06, 2026 (GLOBE NEWSWIRE) — Xanadu Quantum Technologies Limited (“Xanadu“; NASDAQ/TSX: XNDU), a leading photonic quantum computing company, today announced a strategic multi-year partnership with GlobalFoundries (GF), a leading semiconductor manufacturer, to address the high-volume production required for utility-scale quantum computing. This partnership combines Xanadu’s existing expertise in ultra-low loss photonic design and process development with GF’s industry-leading photonics manufacturing prowess to accelerate the development and manufacturing of advanced photonic components, including ultra-low loss silicon nitride (SiN) photonics and Superconducting Nanowire Single-Photon Detectors (SNSPDs), through GF’s 300 mm production line in Malta, New York.

The initial focus of the Xanadu and GF partnership is on the industrialization of Xanadu’s SNSPDs and its ultra-low-loss SiN platform. In photonic quantum computing, where information is carried by photons, reading calculation outputs requires photon number resolving (PNR) detectors, which are advanced optical sensors that determine the number of photons in a single light pulse. Xanadu has adopted SNSPDs, widely recognized as the most reliable PNR technology, as its PNR platform for utility-scale quantum computing. The adoption of SNSPDs is expected to dramatically increase the speed of Xanadu’s quantum computing systems and considerably reduce the chip overheads needed to deliver utility-scale quantum computers with Xanadu’s photonic quantum computing architecture. Combining ultra-high efficiency SNSPDs with ultra-low loss SiN photonics, used as optical circuit boards to guide photons with negligible signal loss across a wide spectrum of light, forms the backbone of Xanadu’s photonic quantum computing technology.

Transferring components of Xanadu’s existing advanced photonics technology to GF’s 300 mm manufacturing line represents a critical shift from lab-scale prototyping to industrial-grade production. In addition to SNSPDs and SiN, Xanadu and GF are exploring future work packages to further develop high-performance quantum modules that are intended to increase the power and utility of photonic quantum computing systems. The output of this collaboration is expected to serve as the manufacturing foundation for Xanadu’s upcoming fault-tolerant demonstrators, supporting the company’s long-term objective of providing the hardware architecture for future quantum data centers.

“Transitioning quantum computing technology to a high-volume manufacturing line is fundamental to delivering quantum computing at scale,” said Dr. Christian Weedbrook, Founder and Chief Executive Officer of Xanadu. “Partnering with GlobalFoundries allows Xanadu to refine and scale up our existing industry-leading photonics platform and apply GF’s industrial expertise and technology to our photonic chip production. This partnership demonstrates our focus on execution and seeks to provide the reliable, precision-manufactured infrastructure necessary to transition quantum technology from the research environment to commercial-scale data centers.”

“By combining Xanadu’s advanced photonic computing technology with GF’s 300 mm manufacturing expertise, this partnership creates a path to industrialize the critical components needed to accelerate the deployment of fault-tolerant systems and enable future quantum computing architectures,” said Nicholas Sergeant, VP of Quantum Technology Solutions at GF.

Xanadu is on a mission to build quantum computers that are useful and available to people everywhere. By securing this manufacturing pathway, Xanadu is reinforcing its position as a global leader in photonic quantum computing.

About Xanadu

Founded in 2016, Xanadu is a Canadian photonic quantum computing company with the mission to build quantum computers that are useful and available to people everywhere. Xanadu is building fault-tolerant quantum computers using light, with systems designed to compute at room temperature. Xanadu develops both hardware and software, including PennyLane, its open-source quantum computing platform. Xanadu is the first pure-play photonic quantum computing company to list on public markets (NASDAQ/TSX: XNDU) and is recognized globally for its breakthroughs in scalable quantum technologies. Visit xanadu.ai or follow on X @XanaduAI.

Contacts

Press Contact:
press@xanadu.ai
Investor Relations:
investors@xanadu.ai

About GlobalFoundries

GlobalFoundries (GF) is a leading manufacturer of essential semiconductors, enabling AI at scale from the cloud to the physical world. Through deep partnerships with customers, GF delivers differentiated, power‑efficient and high‑performance solutions for automotive, aerospace and defense, data center, smart mobile devices, internet of things and other high‑growth markets. With global manufacturing operations across the U.S., Europe and Asia, GF is a trusted and holistic technology partner for customers around the world. GF’s talented, global team remains focused every day on security, longevity and sustainability. For more information, visit www.gf.com.

Forward-Looking Statements

This communication includes “forward-looking statements” within the meaning of the U.S. federal securities laws and “forward-looking information” within the meaning of applicable Canadian securities laws (collectively, “forward-looking statements”). Forward-looking statements may be identified by the use of words such as “estimate,” “plan,” “project,” “forecast,” “intend,” “will,” “expect,” “anticipate,” “believe,” “seek,” “target,” “continue,” “could,” “may,” “might,” “possible,” “potential,” “predict” or similar expressions that predict or indicate future events or trends or that are not statements of historical matters. We have based these forward-looking statements on current expectations and projections about future events. These statements include: statements regarding the strategic multi-year partnership with GlobalFoundries (GF) and the ability of the parties to successfully collaborate; the ability to address high-volume production required for utility-scale quantum computing; the expected development, manufacturing, and scale-up of advanced photonic components, including ultra-low loss silicon nitride (SiN) photonics and Superconducting Nanowire Single-Photon Detectors (SNSPDs), on GF’s 300 mm production line in Malta, New York; the ability to successfully transfer Xanadu’s technology to GF’s manufacturing lines; the exploration and successful development of future work packages for high-performance quantum modules; the capability of the output of the collaboration to serve as the manufacturing foundation for Xanadu’s upcoming fault-tolerant demonstrators and future quantum data centers; and the performance, speed, and overhead reduction benefits achieved by integrating SNSPDs and SiN photonics.

These forward-looking statements are provided for illustrative purposes only and are not intended to serve as, and must not be relied on as, a guarantee, an assurance, a prediction or a definitive statement of fact or probability. Actual events and circumstances are difficult or impossible to predict and will differ from assumptions, many of which are beyond the control of Xanadu. These forward-looking statements are subject to known and unknown risks, uncertainties and assumptions that may cause the actual results of Xanadu, levels of activity, performance or achievements to be materially different from any future results, levels of activity, performance or achievements expressed or implied by such statements. Such risks and uncertainties include: the risk that the strategic partnership with GF may not achieve its intended benefits, manufacturing milestones, or volume production goals; technical challenges in transferring complex photonics processes, SiN platforms, and SNSPD manufacturing to a 300 mm commercial semiconductor manufacturing line; risks associated with reliance on GF as a manufacturing partner and potential disruptions or delays in GF’s facilities or supply chain; yield, quality, and technical performance risks related to precision-manufactured photonic components and modules; that Xanadu is pursuing an emerging technology, faces significant technical challenges and may not achieve commercialization or market acceptance; Xanadu’s historical net losses and limited operating history; Xanadu’s expectations regarding future financial performance, capital requirements and unit economics; Xanadu’s use and reporting of business and operational metrics; Xanadu’s competitive landscape; Xanadu’s dependence on members of its senior management and its ability to attract and retain qualified personnel; the potential need for additional future financing; Xanadu’s ability to manage growth and expand its operations; potential future acquisitions or investments in companies, products, services or technologies; Xanadu’s reliance on strategic partners and other third parties; Xanadu’s concentration of revenue in contracts with government or state-funded entities; Xanadu’s ability to maintain, protect and defend its intellectual property rights; risks associated with privacy, data protection or cybersecurity incidents and related regulations; the use, rate of adoption, and regulation of artificial intelligence and machine learning; uncertainty or changes with respect to laws and regulations; uncertainty or changes with respect to taxes, trade conditions and the macroeconomic environment; material weaknesses in Xanadu’s internal control over financial reporting and its ability to maintain internal control over financial reporting and operate as a public company; the outcome of any legal proceedings or government investigations that may be commenced against Xanadu; Xanadu’s ability to issue equity or equity-linked securities in the future; and other factors described in Xanadu’s filings with the SEC (www.sec.gov) and the Canadian Securities Administrators (www.sedarplus.com). These forward-looking statements are based on certain assumptions, including that none of the risks identified above materialize; that there are no unforeseen changes to economic and market conditions, and that no significant events occur outside the ordinary course of business. Additional information concerning these and other factors that may impact such forward-looking statements can be found in filings and potential filings by Xanadu with the SEC and the Canadian Securities Administrators, including under the heading “Risk Factors.” If any of these risks materialize or assumptions prove incorrect, actual results could differ materially from the results implied by these forward-looking statements. In addition, these statements reflect the expectations, plans and forecasts of Xanadu’s management as of the date of this communication; subsequent events and developments may cause their assessments to change. While Xanadu may elect to update these forward-looking statements at some point in the future, they specifically disclaim any obligation to do so, unless required by applicable securities laws. Accordingly, undue reliance should not be placed upon these statements.

In addition, statements that “we believe” and similar statements reflect our beliefs and opinions on the relevant subject. These statements are based upon information available to us as of the date of this communication, and while we believe such information forms a reasonable basis for such statements, such information may be limited or incomplete, and our statements should not be read to indicate that we have conducted an exhaustive inquiry into, or review of, all potentially available relevant information. These statements are inherently uncertain and investors are cautioned not to unduly rely upon these statements.

TORONTO, Oct. 06, 2026 (GLOBE NEWSWIRE) — Xanadu Quantum Technologies Limited (“Xanadu“; NASDAQ/TSX: XNDU), a leading photonic quantum computing company, today announced a strategic multi-year partnership with GlobalFoundries (GF), a leading semiconductor manufacturer, to address the high-volume production required for utility-scale quantum computing. This partnership combines Xanadu’s existing expertise in ultra-low loss photonic design and process development with GF’s industry-leading photonics manufacturing prowess to accelerate the development and manufacturing of advanced photonic components, including ultra-low loss silicon nitride (SiN) photonics and Superconducting Nanowire Single-Photon Detectors (SNSPDs), through GF’s 300 mm production line in Malta, New York.

The initial focus of the Xanadu and GF partnership is on the industrialization of Xanadu’s SNSPDs and its ultra-low-loss SiN platform. In photonic quantum computing, where information is carried by photons, reading calculation outputs requires photon number resolving (PNR) detectors, which are advanced optical sensors that determine the number of photons in a single light pulse. Xanadu has adopted SNSPDs, widely recognized as the most reliable PNR technology, as its PNR platform for utility-scale quantum computing. The adoption of SNSPDs is expected to dramatically increase the speed of Xanadu’s quantum computing systems and considerably reduce the chip overheads needed to deliver utility-scale quantum computers with Xanadu’s photonic quantum computing architecture. Combining ultra-high efficiency SNSPDs with ultra-low loss SiN photonics, used as optical circuit boards to guide photons with negligible signal loss across a wide spectrum of light, forms the backbone of Xanadu’s photonic quantum computing technology.

Transferring components of Xanadu’s existing advanced photonics technology to GF’s 300 mm manufacturing line represents a critical shift from lab-scale prototyping to industrial-grade production. In addition to SNSPDs and SiN, Xanadu and GF are exploring future work packages to further develop high-performance quantum modules that are intended to increase the power and utility of photonic quantum computing systems. The output of this collaboration is expected to serve as the manufacturing foundation for Xanadu’s upcoming fault-tolerant demonstrators, supporting the company’s long-term objective of providing the hardware architecture for future quantum data centers.

“Transitioning quantum computing technology to a high-volume manufacturing line is fundamental to delivering quantum computing at scale,” said Dr. Christian Weedbrook, Founder and Chief Executive Officer of Xanadu. “Partnering with GlobalFoundries allows Xanadu to refine and scale up our existing industry-leading photonics platform and apply GF’s industrial expertise and technology to our photonic chip production. This partnership demonstrates our focus on execution and seeks to provide the reliable, precision-manufactured infrastructure necessary to transition quantum technology from the research environment to commercial-scale data centers.”

“By combining Xanadu’s advanced photonic computing technology with GF’s 300 mm manufacturing expertise, this partnership creates a path to industrialize the critical components needed to accelerate the deployment of fault-tolerant systems and enable future quantum computing architectures,” said Nicholas Sergeant, VP of Quantum Technology Solutions at GF.

Xanadu is on a mission to build quantum computers that are useful and available to people everywhere. By securing this manufacturing pathway, Xanadu is reinforcing its position as a global leader in photonic quantum computing.

About Xanadu

Founded in 2016, Xanadu is a Canadian photonic quantum computing company with the mission to build quantum computers that are useful and available to people everywhere. Xanadu is building fault-tolerant quantum computers using light, with systems designed to compute at room temperature. Xanadu develops both hardware and software, including PennyLane, its open-source quantum computing platform. Xanadu is the first pure-play photonic quantum computing company to list on public markets (NASDAQ/TSX: XNDU) and is recognized globally for its breakthroughs in scalable quantum technologies. Visit xanadu.ai or follow on X @XanaduAI.

Contacts

Press Contact:
press@xanadu.ai
Investor Relations:
investors@xanadu.ai

About GlobalFoundries

GlobalFoundries (GF) is a leading manufacturer of essential semiconductors, enabling AI at scale from the cloud to the physical world. Through deep partnerships with customers, GF delivers differentiated, power‑efficient and high‑performance solutions for automotive, aerospace and defense, data center, smart mobile devices, internet of things and other high‑growth markets. With global manufacturing operations across the U.S., Europe and Asia, GF is a trusted and holistic technology partner for customers around the world. GF’s talented, global team remains focused every day on security, longevity and sustainability. For more information, visit www.gf.com.

Forward-Looking Statements

This communication includes “forward-looking statements” within the meaning of the U.S. federal securities laws and “forward-looking information” within the meaning of applicable Canadian securities laws (collectively, “forward-looking statements”). Forward-looking statements may be identified by the use of words such as “estimate,” “plan,” “project,” “forecast,” “intend,” “will,” “expect,” “anticipate,” “believe,” “seek,” “target,” “continue,” “could,” “may,” “might,” “possible,” “potential,” “predict” or similar expressions that predict or indicate future events or trends or that are not statements of historical matters. We have based these forward-looking statements on current expectations and projections about future events. These statements include: statements regarding the strategic multi-year partnership with GlobalFoundries (GF) and the ability of the parties to successfully collaborate; the ability to address high-volume production required for utility-scale quantum computing; the expected development, manufacturing, and scale-up of advanced photonic components, including ultra-low loss silicon nitride (SiN) photonics and Superconducting Nanowire Single-Photon Detectors (SNSPDs), on GF’s 300 mm production line in Malta, New York; the ability to successfully transfer Xanadu’s technology to GF’s manufacturing lines; the exploration and successful development of future work packages for high-performance quantum modules; the capability of the output of the collaboration to serve as the manufacturing foundation for Xanadu’s upcoming fault-tolerant demonstrators and future quantum data centers; and the performance, speed, and overhead reduction benefits achieved by integrating SNSPDs and SiN photonics.

These forward-looking statements are provided for illustrative purposes only and are not intended to serve as, and must not be relied on as, a guarantee, an assurance, a prediction or a definitive statement of fact or probability. Actual events and circumstances are difficult or impossible to predict and will differ from assumptions, many of which are beyond the control of Xanadu. These forward-looking statements are subject to known and unknown risks, uncertainties and assumptions that may cause the actual results of Xanadu, levels of activity, performance or achievements to be materially different from any future results, levels of activity, performance or achievements expressed or implied by such statements. Such risks and uncertainties include: the risk that the strategic partnership with GF may not achieve its intended benefits, manufacturing milestones, or volume production goals; technical challenges in transferring complex photonics processes, SiN platforms, and SNSPD manufacturing to a 300 mm commercial semiconductor manufacturing line; risks associated with reliance on GF as a manufacturing partner and potential disruptions or delays in GF’s facilities or supply chain; yield, quality, and technical performance risks related to precision-manufactured photonic components and modules; that Xanadu is pursuing an emerging technology, faces significant technical challenges and may not achieve commercialization or market acceptance; Xanadu’s historical net losses and limited operating history; Xanadu’s expectations regarding future financial performance, capital requirements and unit economics; Xanadu’s use and reporting of business and operational metrics; Xanadu’s competitive landscape; Xanadu’s dependence on members of its senior management and its ability to attract and retain qualified personnel; the potential need for additional future financing; Xanadu’s ability to manage growth and expand its operations; potential future acquisitions or investments in companies, products, services or technologies; Xanadu’s reliance on strategic partners and other third parties; Xanadu’s concentration of revenue in contracts with government or state-funded entities; Xanadu’s ability to maintain, protect and defend its intellectual property rights; risks associated with privacy, data protection or cybersecurity incidents and related regulations; the use, rate of adoption, and regulation of artificial intelligence and machine learning; uncertainty or changes with respect to laws and regulations; uncertainty or changes with respect to taxes, trade conditions and the macroeconomic environment; material weaknesses in Xanadu’s internal control over financial reporting and its ability to maintain internal control over financial reporting and operate as a public company; the outcome of any legal proceedings or government investigations that may be commenced against Xanadu; Xanadu’s ability to issue equity or equity-linked securities in the future; and other factors described in Xanadu’s filings with the SEC (www.sec.gov) and the Canadian Securities Administrators (www.sedarplus.com). These forward-looking statements are based on certain assumptions, including that none of the risks identified above materialize; that there are no unforeseen changes to economic and market conditions, and that no significant events occur outside the ordinary course of business. Additional information concerning these and other factors that may impact such forward-looking statements can be found in filings and potential filings by Xanadu with the SEC and the Canadian Securities Administrators, including under the heading “Risk Factors.” If any of these risks materialize or assumptions prove incorrect, actual results could differ materially from the results implied by these forward-looking statements. In addition, these statements reflect the expectations, plans and forecasts of Xanadu’s management as of the date of this communication; subsequent events and developments may cause their assessments to change. While Xanadu may elect to update these forward-looking statements at some point in the future, they specifically disclaim any obligation to do so, unless required by applicable securities laws. Accordingly, undue reliance should not be placed upon these statements.

In addition, statements that “we believe” and similar statements reflect our beliefs and opinions on the relevant subject. These statements are based upon information available to us as of the date of this communication, and while we believe such information forms a reasonable basis for such statements, such information may be limited or incomplete, and our statements should not be read to indicate that we have conducted an exhaustive inquiry into, or review of, all potentially available relevant information. These statements are inherently uncertain and investors are cautioned not to unduly rely upon these statements.

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