NASHVILLE, Tenn., March 31, 2026 /PRNewswire/ — HYDRINITY Accelerated Skin Science proudly announces RetaXome™ Daily Retinal Hydrator has been named Best Retinal Serum by NewBeauty, marking another milestone moment for the breakthrough innovation on the heels of its recently published, peer-reviewed clinical study in the Journal of Cosmetic Dermatology.

The award recognizes RetaXome™ as a category-defining advancement in retinal technology. Engineered with the HYDRINITY proprietary biomimetic exosome encapsulation system, the formula was developed to maximize retinal performance while dramatically improving tolerability, an achievement long considered the primary challenge of retinoid therapy.

The recent 12-week clinical study demonstrated progressive, statistically significant improvements in tone, texture, fine lines, and visible redness, with no reported product-related irritation, an outcome that has led many providers to describe RetaXome as the first true “hydrating retinoid.” The publication reinforced the position of HYDRINITY at the intersection of biotechnology and dermatological skincare innovation.

“This recognition from NewBeauty comes at an especially meaningful time for our brand,” said Keith O’Briant, CEO of HYDRINITY. “Following the publication of our clinical research, receiving Best Retinal Serum affirms both the scientific rigor behind RetaXome and the real-world impact it’s having in dermatology practices. We set out to engineer a retinal that delivers transformative results without the traditional trade-offs. This award validates that vision.”

The NewBeauty Awards are widely regarded for spotlighting products that push boundaries in efficacy, formulation, and innovation. Being named Best Retinal Serum places RetaXome™ Daily Retinal Hydrator among the year’s most influential skincare breakthroughs.

RetaXome™ Daily Retinal Hydrator is available through HYDRINITY via its expanding global network of professional providers and at Hydrinity.com. Follow the brand on Instagram and Facebook for additional information.

About HYDRINITY Accelerated Skin Science
HYDRINITY Accelerated Skin Science, the fastest-growing professional skincare brand in the U.S. according to Kline + Company, is a leader in novel, patented, and proprietary regenerative technologies including Supercharged HA™, MicroFusion™, and RetaXome™. Founded as a regenerative medicine company developing advanced wound care and drug delivery systems for oncology and hematology patients, HYDRINITY has since redefined dermatological skincare with clinically backed formulations featuring injectable-grade hyaluronic acid and other breakthrough delivery platforms designed to deliver accelerated results and optimal skin health. Since launching in 2022, HYDRINITY has rapidly expanded into more than 4,000 professional U.S. practices and 40+ countries globally, continuing to set new standards in skin regeneration.

For media inquiries, samples, or interviews, please contact:
Rebel Gail Communications
Stephanie Channell
410606@email4pr.com
212-675-8555

Cision View original content to download multimedia:https://www.prnewswire.com/news-releases/hydrinity-retaxome-daily-retinal-hydrator-named-newbeauty-best-retinal-serum-following-landmark-clinical-publication-302729838.html

SOURCE HYDRINITY Accelerated Skin Science

By Chloé Broguet, Global Corporate & ESG Communications Manager, Lenovo

Every company developing AI technology should prioritize inclusive data sets, diverse user testing, and foundational ethics. This is part of Smarter AI for all at Lenovo, and it does not happen by accident. As the pace of innovation seems to somehow keep accelerating—and public trust in AI remains tenuous—this is especially important.

Our commitment to inclusive, responsible AI started years before the current generative AI boom, and it’s crucial to how we build trust in this era. While our efforts stretch back decades, the focus here is on inclusion and empowering women. It is, after all, Women’s History Month, and we’re right on the heels of International Women’s Day.

What began as an ambitious push from passionate employees evolved into a structured, company-wide approach to gender-fair AI. We’ve learned a lot along the way by critically examining how systems are being built, governed, tested, and consistently improved.

“Real transformation often starts with a few people who care deeply enough to act,” said Marine Rabeyrin, EMEA Education Director at Lenovo and an established leader in corporate citizenship. “One of the strongest lessons from this journey is that motivated individuals really can influence an entire organization—when they are proactive, persistent, and able to build a community of changemakers.”

From intention to action

Lenovo’s Women & AI initiative emerged from participation in Cercle InterL, a French tech inclusion network, beginning in 2019. And as momentum built, Lenovo joined InterL’s ‘Women and AI’ Charter in 2021. Those commitments helped Lenovo develop a comprehensive approach to inclusive AI, including how it should be evaluated.

We undertook rigorous self-assessments in 2021, 2023, and 2026. We’ve experienced meaningful progress from an early baseline that highlighted strong instincts to a much more consistent and holistic governance model today.

“You have to be honest, individually and as an organization,” Marine said. “Our internal assessments pull no punches, and we never sugarcoat the findings. That’s the only way to ensure the progress is real and measurable.”

The key parameters for those evaluations include governance, compliance by design, data selection and processing, team inclusion, awareness and accountability, and ethics of algorithms.

Governance

One of the clearest drivers of progress for Lenovo has been the strengthening of AI governance and internal awareness around bias risks in AI systems. As our governance structures and committees matured, they gave responsible AI work greater clarity, consistency, and longevity. Establishing and empowering a Responsible AI Committee to review our technology, define benchmarks, and overhaul processes was essential.

Compliance by design

Inclusion and fairness are most effective when they are built into AI systems from the beginning and not simply reviewed at the end. That means designing with bias mitigation in mind from the outset and aligning early with emerging regulatory expectations, including developments such as the EU AI Act. There’s a fundamental mindset shift that some organizations may need to demand. That initial lift may be difficult, but it pays off.

Team inclusion

Better AI comes from broader thinking. Our progress has been supported by collaboration across inclusion, legal, regulatory and technical teams, as well as by leaders who could bridge AI expertise with inclusion priorities. This kind of cross-functional effort helps surface blind spots earlier and makes decision-making stronger. AI systems are shaped by the people who build, guide, and govern them. The more perspectives brought into that process, the better the outcome is likely to be.

Awareness and accountability

Building inclusive AI cannot rest with a single team. It requires broader organizational awareness, shared ownership, external commitments, and visible support from leadership. At Lenovo, executive sponsorship gives this work essential momentum and credibility. Just as important, our company culture and employee resource group infrastructure helped employees turn ideas into action and scale their impact.

“Doing the right thing with AI takes more than good intentions,” said Ada Lopez, head of Lenovo’s Inclusive Product Design Office. “It requires institutional support, clear accountability and a company-wide appetite to ask the right questions early. When that support is in place, inclusion becomes something a company can genuinely operationalize and scale.”

Data and algorithms

Over time, our approach evolved from evaluating individual AI solutions to examining broader governance processes across data, algorithms, monitoring, HR, and awareness. The algorithms and training data powering AI can reflect unconscious bias that must be proactively and meticulously addressed. Responsible AI requires understanding systems, assumptions, and processes. Organizations that want to build more inclusive AI need to look at the full chain, from data inputs to design choices to oversight mechanisms.

Organizational transformation

Our experience also shows that this work can have positive effects beyond product development alone. Lenovo has applied AI in areas such as learning and upskilling, including using AI in our HR systems to recommend training based on employee interests. That helps create more equitable access to learning opportunities and broadens the impact of inclusive AI thinking across the company.

Taken together, these lessons form a practical roadmap for other organizations. Assess where you are. Build governance. Involve diverse voices. Embed compliance early. Educate widely. Keep improving.

That is what we have worked to do at Lenovo. And while the journey is ongoing, our progress shows what is possible when responsible AI is treated as a business imperative rather than a side discussion.

“One of the real privileges of leadership is empowering people and championing their vision,” said Calvin J. Crosslin, Lenovo VP and Chief Inclusion Officer. “The Women & AI initiative reflects what can happen when committed people are given the support to lead meaningful change. At Lenovo, we deliver smarter AI for all, which means it’s responsible, inclusive, and built to create trust.”

Our Women & AI journey has shown us that responsible, inclusive AI requires both conviction and structure. It takes people who care, leaders who listen and systems that hold us accountable. Most of all, it requires a belief that innovation is strongest when it works for everyone.

By Chloé Broguet, Global Corporate & ESG Communications Manager, Lenovo

Every company developing AI technology should prioritize inclusive data sets, diverse user testing, and foundational ethics. This is part of Smarter AI for all at Lenovo, and it does not happen by accident. As the pace of innovation seems to somehow keep accelerating—and public trust in AI remains tenuous—this is especially important.

Our commitment to inclusive, responsible AI started years before the current generative AI boom, and it’s crucial to how we build trust in this era. While our efforts stretch back decades, the focus here is on inclusion and empowering women. It is, after all, Women’s History Month, and we’re right on the heels of International Women’s Day.

What began as an ambitious push from passionate employees evolved into a structured, company-wide approach to gender-fair AI. We’ve learned a lot along the way by critically examining how systems are being built, governed, tested, and consistently improved.

“Real transformation often starts with a few people who care deeply enough to act,” said Marine Rabeyrin, EMEA Education Director at Lenovo and an established leader in corporate citizenship. “One of the strongest lessons from this journey is that motivated individuals really can influence an entire organization—when they are proactive, persistent, and able to build a community of changemakers.”

From intention to action

Lenovo’s Women & AI initiative emerged from participation in Cercle InterL, a French tech inclusion network, beginning in 2019. And as momentum built, Lenovo joined InterL’s ‘Women and AI’ Charter in 2021. Those commitments helped Lenovo develop a comprehensive approach to inclusive AI, including how it should be evaluated.

We undertook rigorous self-assessments in 2021, 2023, and 2026. We’ve experienced meaningful progress from an early baseline that highlighted strong instincts to a much more consistent and holistic governance model today.

“You have to be honest, individually and as an organization,” Marine said. “Our internal assessments pull no punches, and we never sugarcoat the findings. That’s the only way to ensure the progress is real and measurable.”

The key parameters for those evaluations include governance, compliance by design, data selection and processing, team inclusion, awareness and accountability, and ethics of algorithms.

Governance

One of the clearest drivers of progress for Lenovo has been the strengthening of AI governance and internal awareness around bias risks in AI systems. As our governance structures and committees matured, they gave responsible AI work greater clarity, consistency, and longevity. Establishing and empowering a Responsible AI Committee to review our technology, define benchmarks, and overhaul processes was essential.

Compliance by design

Inclusion and fairness are most effective when they are built into AI systems from the beginning and not simply reviewed at the end. That means designing with bias mitigation in mind from the outset and aligning early with emerging regulatory expectations, including developments such as the EU AI Act. There’s a fundamental mindset shift that some organizations may need to demand. That initial lift may be difficult, but it pays off.

Team inclusion

Better AI comes from broader thinking. Our progress has been supported by collaboration across inclusion, legal, regulatory and technical teams, as well as by leaders who could bridge AI expertise with inclusion priorities. This kind of cross-functional effort helps surface blind spots earlier and makes decision-making stronger. AI systems are shaped by the people who build, guide, and govern them. The more perspectives brought into that process, the better the outcome is likely to be.

Awareness and accountability

Building inclusive AI cannot rest with a single team. It requires broader organizational awareness, shared ownership, external commitments, and visible support from leadership. At Lenovo, executive sponsorship gives this work essential momentum and credibility. Just as important, our company culture and employee resource group infrastructure helped employees turn ideas into action and scale their impact.

“Doing the right thing with AI takes more than good intentions,” said Ada Lopez, head of Lenovo’s Inclusive Product Design Office. “It requires institutional support, clear accountability and a company-wide appetite to ask the right questions early. When that support is in place, inclusion becomes something a company can genuinely operationalize and scale.”

Data and algorithms

Over time, our approach evolved from evaluating individual AI solutions to examining broader governance processes across data, algorithms, monitoring, HR, and awareness. The algorithms and training data powering AI can reflect unconscious bias that must be proactively and meticulously addressed. Responsible AI requires understanding systems, assumptions, and processes. Organizations that want to build more inclusive AI need to look at the full chain, from data inputs to design choices to oversight mechanisms.

Organizational transformation

Our experience also shows that this work can have positive effects beyond product development alone. Lenovo has applied AI in areas such as learning and upskilling, including using AI in our HR systems to recommend training based on employee interests. That helps create more equitable access to learning opportunities and broadens the impact of inclusive AI thinking across the company.

Taken together, these lessons form a practical roadmap for other organizations. Assess where you are. Build governance. Involve diverse voices. Embed compliance early. Educate widely. Keep improving.

That is what we have worked to do at Lenovo. And while the journey is ongoing, our progress shows what is possible when responsible AI is treated as a business imperative rather than a side discussion.

“One of the real privileges of leadership is empowering people and championing their vision,” said Calvin J. Crosslin, Lenovo VP and Chief Inclusion Officer. “The Women & AI initiative reflects what can happen when committed people are given the support to lead meaningful change. At Lenovo, we deliver smarter AI for all, which means it’s responsible, inclusive, and built to create trust.”

Our Women & AI journey has shown us that responsible, inclusive AI requires both conviction and structure. It takes people who care, leaders who listen and systems that hold us accountable. Most of all, it requires a belief that innovation is strongest when it works for everyone.

By Chloé Broguet, Global Corporate & ESG Communications Manager, Lenovo

Every company developing AI technology should prioritize inclusive data sets, diverse user testing, and foundational ethics. This is part of Smarter AI for all at Lenovo, and it does not happen by accident. As the pace of innovation seems to somehow keep accelerating—and public trust in AI remains tenuous—this is especially important.

Our commitment to inclusive, responsible AI started years before the current generative AI boom, and it’s crucial to how we build trust in this era. While our efforts stretch back decades, the focus here is on inclusion and empowering women. It is, after all, Women’s History Month, and we’re right on the heels of International Women’s Day.

What began as an ambitious push from passionate employees evolved into a structured, company-wide approach to gender-fair AI. We’ve learned a lot along the way by critically examining how systems are being built, governed, tested, and consistently improved.

“Real transformation often starts with a few people who care deeply enough to act,” said Marine Rabeyrin, EMEA Education Director at Lenovo and an established leader in corporate citizenship. “One of the strongest lessons from this journey is that motivated individuals really can influence an entire organization—when they are proactive, persistent, and able to build a community of changemakers.”

From intention to action

Lenovo’s Women & AI initiative emerged from participation in Cercle InterL, a French tech inclusion network, beginning in 2019. And as momentum built, Lenovo joined InterL’s ‘Women and AI’ Charter in 2021. Those commitments helped Lenovo develop a comprehensive approach to inclusive AI, including how it should be evaluated.

We undertook rigorous self-assessments in 2021, 2023, and 2026. We’ve experienced meaningful progress from an early baseline that highlighted strong instincts to a much more consistent and holistic governance model today.

“You have to be honest, individually and as an organization,” Marine said. “Our internal assessments pull no punches, and we never sugarcoat the findings. That’s the only way to ensure the progress is real and measurable.”

The key parameters for those evaluations include governance, compliance by design, data selection and processing, team inclusion, awareness and accountability, and ethics of algorithms.

Governance

One of the clearest drivers of progress for Lenovo has been the strengthening of AI governance and internal awareness around bias risks in AI systems. As our governance structures and committees matured, they gave responsible AI work greater clarity, consistency, and longevity. Establishing and empowering a Responsible AI Committee to review our technology, define benchmarks, and overhaul processes was essential.

Compliance by design

Inclusion and fairness are most effective when they are built into AI systems from the beginning and not simply reviewed at the end. That means designing with bias mitigation in mind from the outset and aligning early with emerging regulatory expectations, including developments such as the EU AI Act. There’s a fundamental mindset shift that some organizations may need to demand. That initial lift may be difficult, but it pays off.

Team inclusion

Better AI comes from broader thinking. Our progress has been supported by collaboration across inclusion, legal, regulatory and technical teams, as well as by leaders who could bridge AI expertise with inclusion priorities. This kind of cross-functional effort helps surface blind spots earlier and makes decision-making stronger. AI systems are shaped by the people who build, guide, and govern them. The more perspectives brought into that process, the better the outcome is likely to be.

Awareness and accountability

Building inclusive AI cannot rest with a single team. It requires broader organizational awareness, shared ownership, external commitments, and visible support from leadership. At Lenovo, executive sponsorship gives this work essential momentum and credibility. Just as important, our company culture and employee resource group infrastructure helped employees turn ideas into action and scale their impact.

“Doing the right thing with AI takes more than good intentions,” said Ada Lopez, head of Lenovo’s Inclusive Product Design Office. “It requires institutional support, clear accountability and a company-wide appetite to ask the right questions early. When that support is in place, inclusion becomes something a company can genuinely operationalize and scale.”

Data and algorithms

Over time, our approach evolved from evaluating individual AI solutions to examining broader governance processes across data, algorithms, monitoring, HR, and awareness. The algorithms and training data powering AI can reflect unconscious bias that must be proactively and meticulously addressed. Responsible AI requires understanding systems, assumptions, and processes. Organizations that want to build more inclusive AI need to look at the full chain, from data inputs to design choices to oversight mechanisms.

Organizational transformation

Our experience also shows that this work can have positive effects beyond product development alone. Lenovo has applied AI in areas such as learning and upskilling, including using AI in our HR systems to recommend training based on employee interests. That helps create more equitable access to learning opportunities and broadens the impact of inclusive AI thinking across the company.

Taken together, these lessons form a practical roadmap for other organizations. Assess where you are. Build governance. Involve diverse voices. Embed compliance early. Educate widely. Keep improving.

That is what we have worked to do at Lenovo. And while the journey is ongoing, our progress shows what is possible when responsible AI is treated as a business imperative rather than a side discussion.

“One of the real privileges of leadership is empowering people and championing their vision,” said Calvin J. Crosslin, Lenovo VP and Chief Inclusion Officer. “The Women & AI initiative reflects what can happen when committed people are given the support to lead meaningful change. At Lenovo, we deliver smarter AI for all, which means it’s responsible, inclusive, and built to create trust.”

Our Women & AI journey has shown us that responsible, inclusive AI requires both conviction and structure. It takes people who care, leaders who listen and systems that hold us accountable. Most of all, it requires a belief that innovation is strongest when it works for everyone.

Home dialysis is transforming kidney care in the remote landscapes of the American Southwest. In this documentary, we explore how DaVita care teams are helping to address geographic barriers by serving patients living on the Navajo Nation and Hopi Reservation through life-sustaining dialysis treatment right from their own homes. 

In this video: 

  • Hear powerful stories from patients like Lisa and Nobert, who share how home dialysis (including peritoneal dialysis) has given them their freedom back. Learn how treating at home can offer eligible patients more flexibility and potentially improve quality of life on dialysis, even in areas with limited infrastructure.
  • See how culturally informed care and strong provider-patient relationships are bridging the gap in rural healthcare access. This story highlights the delivery of compassionate, high-quality end-stage kidney disease support to underserved communities. 

This is a new blueprint for Indigenous health: delivering personalized care by meeting patients exactly where they are. 

*Service provider and modality selection are choices made exclusively between the patient and nephrologist. DaVita defers to the nephrologist to prescribe treatment type, frequency, medications, and access placement on a patient-by-patient basis. 

Learn more about kidney care and home dialysis options.
Explore more DaVita stories and perspectives on kidney care.

Home dialysis is transforming kidney care in the remote landscapes of the American Southwest. In this documentary, we explore how DaVita care teams are helping to address geographic barriers by serving patients living on the Navajo Nation and Hopi Reservation through life-sustaining dialysis treatment right from their own homes. 

In this video: 

  • Hear powerful stories from patients like Lisa and Nobert, who share how home dialysis (including peritoneal dialysis) has given them their freedom back. Learn how treating at home can offer eligible patients more flexibility and potentially improve quality of life on dialysis, even in areas with limited infrastructure.
  • See how culturally informed care and strong provider-patient relationships are bridging the gap in rural healthcare access. This story highlights the delivery of compassionate, high-quality end-stage kidney disease support to underserved communities. 

This is a new blueprint for Indigenous health: delivering personalized care by meeting patients exactly where they are. 

*Service provider and modality selection are choices made exclusively between the patient and nephrologist. DaVita defers to the nephrologist to prescribe treatment type, frequency, medications, and access placement on a patient-by-patient basis. 

Learn more about kidney care and home dialysis options.
Explore more DaVita stories and perspectives on kidney care.

Home dialysis is transforming kidney care in the remote landscapes of the American Southwest. In this documentary, we explore how DaVita care teams are helping to address geographic barriers by serving patients living on the Navajo Nation and Hopi Reservation through life-sustaining dialysis treatment right from their own homes. 

In this video: 

  • Hear powerful stories from patients like Lisa and Nobert, who share how home dialysis (including peritoneal dialysis) has given them their freedom back. Learn how treating at home can offer eligible patients more flexibility and potentially improve quality of life on dialysis, even in areas with limited infrastructure.
  • See how culturally informed care and strong provider-patient relationships are bridging the gap in rural healthcare access. This story highlights the delivery of compassionate, high-quality end-stage kidney disease support to underserved communities. 

This is a new blueprint for Indigenous health: delivering personalized care by meeting patients exactly where they are. 

*Service provider and modality selection are choices made exclusively between the patient and nephrologist. DaVita defers to the nephrologist to prescribe treatment type, frequency, medications, and access placement on a patient-by-patient basis. 

Learn more about kidney care and home dialysis options.
Explore more DaVita stories and perspectives on kidney care.

The following is an excerpt from Cisco’s FY25 Purpose Report. Explore the full report to learn more about how we Power an Inclusive Future for All.

Through the Cisco Foundation and our corporate Social Impact Investments (SII), we support organizations that use technology in bold, innovative ways — from saving energy to saving lives. By combining catalytic, early-stage seed funding, strategic guidance, and technology donations, we help incubate, validate, and scale solutions that make both a local and global impact.  

At Cisco, we know technology drives transformation.

That’s why, alongside cash grants and advisory support, we donate Cisco technology to our Cisco Foundation and Social Impact Investments partners. This helps them connect more securely, deliver critical services, make data-informed decisions, and operate more efficiently. 

The result? Greater impact on more people and communities around the world. 

Advancing Secure Connectivity  

Through our suite of cybersecurity solutions, we help nonprofits better safeguard their assets. For example, in fiscal 2025, our Cisco Secure Endpoint and Cisco Duo technology donations helped protect and secure the systems of Bridges to Prosperity so their team could focus on rural connectivity initiatives throughout sub-Saharan Africa and beyond. 

In addition, our funding helped enable Bridges to Prosperity to launch WaterNet, an AI-powered dataset that helps connect rural communities to healthcare and education by mapping local rivers and streams. Since launching, WaterNet has tripled the world’s known waterways.

Modernizing IT Infrastructure 

Many nonprofits are limited by outdated IT systems. Through our technology grants, we provide more reliable networking and connectivity solutions, enabling them to deliver critical services without interruption. 

This year, United Food Bank Arizona replaced older networking equipment with donated Cisco Meraki firewalls, switches, and wireless access points. From inventory management to volunteer coordination, the new infrastructure maximizes operations and helps food reach those in need faster.

Automating Insights at Scale  

Splunk, a Cisco company, provides technology grants to help nonprofits scale their mission-driven work, giving organizations the tools to ingest, analyze, and act on data at scale. One grantee, Ersilia, expands access to data science tools to researchers working to eradicate infectious diseases in the Global South. 

Through the Splunk Global Impact donation program, they received a full Splunk Enterprise license, training, and support — enabling them to automate manual data processes, double the number of models running AI predictions, and save more than 700 hours of work annually. 

Read the full FY25 Purpose Report

At Cisco, our Purpose is core to who we are and what we do. Learn more about our goals and progress to date in our Purpose Reporting Hub 

View original content here.

The following is an excerpt from Cisco’s FY25 Purpose Report. Explore the full report to learn more about how we Power an Inclusive Future for All.

Through the Cisco Foundation and our corporate Social Impact Investments (SII), we support organizations that use technology in bold, innovative ways — from saving energy to saving lives. By combining catalytic, early-stage seed funding, strategic guidance, and technology donations, we help incubate, validate, and scale solutions that make both a local and global impact.  

At Cisco, we know technology drives transformation.

That’s why, alongside cash grants and advisory support, we donate Cisco technology to our Cisco Foundation and Social Impact Investments partners. This helps them connect more securely, deliver critical services, make data-informed decisions, and operate more efficiently. 

The result? Greater impact on more people and communities around the world. 

Advancing Secure Connectivity  

Through our suite of cybersecurity solutions, we help nonprofits better safeguard their assets. For example, in fiscal 2025, our Cisco Secure Endpoint and Cisco Duo technology donations helped protect and secure the systems of Bridges to Prosperity so their team could focus on rural connectivity initiatives throughout sub-Saharan Africa and beyond. 

In addition, our funding helped enable Bridges to Prosperity to launch WaterNet, an AI-powered dataset that helps connect rural communities to healthcare and education by mapping local rivers and streams. Since launching, WaterNet has tripled the world’s known waterways.

Modernizing IT Infrastructure 

Many nonprofits are limited by outdated IT systems. Through our technology grants, we provide more reliable networking and connectivity solutions, enabling them to deliver critical services without interruption. 

This year, United Food Bank Arizona replaced older networking equipment with donated Cisco Meraki firewalls, switches, and wireless access points. From inventory management to volunteer coordination, the new infrastructure maximizes operations and helps food reach those in need faster.

Automating Insights at Scale  

Splunk, a Cisco company, provides technology grants to help nonprofits scale their mission-driven work, giving organizations the tools to ingest, analyze, and act on data at scale. One grantee, Ersilia, expands access to data science tools to researchers working to eradicate infectious diseases in the Global South. 

Through the Splunk Global Impact donation program, they received a full Splunk Enterprise license, training, and support — enabling them to automate manual data processes, double the number of models running AI predictions, and save more than 700 hours of work annually. 

Read the full FY25 Purpose Report

At Cisco, our Purpose is core to who we are and what we do. Learn more about our goals and progress to date in our Purpose Reporting Hub 

View original content here.

The following is an excerpt from Cisco’s FY25 Purpose Report. Explore the full report to learn more about how we Power an Inclusive Future for All.

Through the Cisco Foundation and our corporate Social Impact Investments (SII), we support organizations that use technology in bold, innovative ways — from saving energy to saving lives. By combining catalytic, early-stage seed funding, strategic guidance, and technology donations, we help incubate, validate, and scale solutions that make both a local and global impact.  

At Cisco, we know technology drives transformation.

That’s why, alongside cash grants and advisory support, we donate Cisco technology to our Cisco Foundation and Social Impact Investments partners. This helps them connect more securely, deliver critical services, make data-informed decisions, and operate more efficiently. 

The result? Greater impact on more people and communities around the world. 

Advancing Secure Connectivity  

Through our suite of cybersecurity solutions, we help nonprofits better safeguard their assets. For example, in fiscal 2025, our Cisco Secure Endpoint and Cisco Duo technology donations helped protect and secure the systems of Bridges to Prosperity so their team could focus on rural connectivity initiatives throughout sub-Saharan Africa and beyond. 

In addition, our funding helped enable Bridges to Prosperity to launch WaterNet, an AI-powered dataset that helps connect rural communities to healthcare and education by mapping local rivers and streams. Since launching, WaterNet has tripled the world’s known waterways.

Modernizing IT Infrastructure 

Many nonprofits are limited by outdated IT systems. Through our technology grants, we provide more reliable networking and connectivity solutions, enabling them to deliver critical services without interruption. 

This year, United Food Bank Arizona replaced older networking equipment with donated Cisco Meraki firewalls, switches, and wireless access points. From inventory management to volunteer coordination, the new infrastructure maximizes operations and helps food reach those in need faster.

Automating Insights at Scale  

Splunk, a Cisco company, provides technology grants to help nonprofits scale their mission-driven work, giving organizations the tools to ingest, analyze, and act on data at scale. One grantee, Ersilia, expands access to data science tools to researchers working to eradicate infectious diseases in the Global South. 

Through the Splunk Global Impact donation program, they received a full Splunk Enterprise license, training, and support — enabling them to automate manual data processes, double the number of models running AI predictions, and save more than 700 hours of work annually. 

Read the full FY25 Purpose Report

At Cisco, our Purpose is core to who we are and what we do. Learn more about our goals and progress to date in our Purpose Reporting Hub 

View original content here.