Domino Data Lab and EPAM Partner to Accelerate AI Adoption in Life Sciences

Combines Domino's enterprise platform with EPAM's global engineering to scale compliant AI applications and advanced analytics across global biopharma

SAN FRANCISCO, Sept. 29, 2026 /PRNewswire/ -- Domino Data Lab, provider of the unified platform to build, scale, and govern enterprise AI solutions for the most consequential industries, today announced a strategic partnership with EPAM, a leading global AI and digital transformation services, product engineering, and integrated strategy, experience, and technology consulting company. The collaboration pairs EPAM's custom systems engineering expertise with Domino's platform, helping joint customers deploy GxP-validated AI models and governed enterprise analytics across R&D.

While life sciences organizations are eager to scale advanced AI, moving models and applications out of experimental sandboxes into validated production remains a primary bottleneck. Domino's latest industry research identifies legacy system fragmentation, GxP revalidation demands, and governance hurdles as the primary barriers before AI initiatives can deliver impact. Domino provides the platform layer to bridge these gaps, while EPAM delivers the specialized domain engineering to integrate it into enterprise IT stacks.

"Our strategic partnership with Domino marks a significant step toward AI-native transformation throughout the pharmaceutical industry, backed by EPAM's forward-deployed engineering (FDE) capabilities and industry experience across the life sciences value chain," said Nir Kaldero, Chief Data and AI Strategist at EPAM. "With Domino, we aim to generate meaningful value worldwide using our AI/RUN™ Transformation frameworks in a complex, dynamic business and technology environment."

"Pharma's AI opportunity doesn't live in one function, and every team it touches has its own systems, timelines, and compliance requirements," said Greg Killian, Senior Vice President and Global Head of Life Sciences and Healthcare at EPAM. "EPAM and Domino are built for that complexity, helping organizations move AI into validated production no matter which team is building it."

EPAM's dedicated integration teams and FDEs work alongside Domino's FDEs. Together, they embed directly with customer teams to accelerate deployment timelines, modernize legacy code, and ensure strict compliance across heterogeneous IT architectures.

"Life sciences leaders don't want AI that only works for one pilot," said Ricky Mann, Chief Solutions Officer at Domino. "Pairing EPAM's implementation experience with Domino's platform lets leaders scale AI solutions enterprise-wide, not just within a single function."

Delivering solutions across the biopharma lifecycle

Together, EPAM and Domino help leaders:

• Advance discovery and target identification: Improve candidate selection by running AI agents, LLMs, and machine learning pipelines against large-scale genomic datasets.
• Modernize statistical computing: Shorten regulatory submission timelines by giving biostatisticians and statistical programmers a governed environment to unify SAS, R, and Python, from analysis through TFL generation.
• Scale real-world evidence: Speed observational research by standardizing massive, heterogeneous real-world data sets on a secure analytics layer.

Additional Resources

• Learn more about the Domino Enterprise AI Platform.
• Learn more about Domino's Life Sciences solutions.
• Read about Domino customer success across the most-regulated enterprises.
• Follow Domino on LinkedIn and X.

About Domino Data Lab

Domino Data Lab helps the world's most consequential industries turn AI into outcomes that matter. Enterprises transform their business by partnering with Domino to build AI solutions that accelerate innovation and reduce cost, risk, and complexity. The world's largest enterprises trust its platform and expertise for mission-critical AI work. Founded in 2013, Domino is backed by Sequoia Capital, Coatue Management, NVIDIA, NetApp, Snowflake, UBS, and other leading investors. Learn more at domino.ai.

SOURCE Domino Data Lab