Domino Data Lab today announced it has appointed former Chief Operating Officer Thomas Robinson as its Chief Executive Officer to lead company's evolution into an enterprise AI solutions platform provider. Co-founder and former CEO Nick Elprin now leads Domino's product and engineering organization as Chief Product Officer, President, and chairman of board.
A decade building Domino's partnerships, investments, executive team, and solutions strategy positions Robinson to lead Domino's next chapter. Domino has become substrate for enterprise AI solutions that customers use to transform business: compressing investment research from days to minutes, retraining defense models dozens times faster, and speeding new drugs to market.
In addition to building Domino's partner network from ground up, Robinson fostered relationships with NVIDIA, Snowflake, NetApp, and UBS, all of which backed company as investors.
"Thomas recognized early that data infrastructure and AI platforms are fundamentally interconnected, and that strategic insight, combined with his deep understanding of market, is what makes him uniquely positioned to lead Domino," said George Kurian, CEO at NetApp. "We are proud to partner with Thomas and his team and look forward to working together to help define next chapter of enterprise AI."
"AI's promise turns real when systems of models move people closer to making better judgments," Robinson said. "In enterprise, this means putting AI solutions into action for people who solve real problems for world's health, security, and safety. It's honor of my career to lead Domino through this next chapter as enterprise AI solutions platform underpinning this shift."
"With over decade of experience working with advanced organizations to deploy mission-critical AI, Domino is uniquely well-positioned to help companies lead in next era of enterprise transformation," Elprin said. "Thomas understands better than anyone what that takes."
"Thomas is leading enterprises toward bigger way of thinking about AI value, starting with business problem and working backward to solution," said Rob Bearden, CEO at Sema4.ai and Domino board member. "I've watched him build that discipline into Domino's strategy for years."
AI leaders have last-mile problem. Models reach production and stop short of business. Domino's 2026 Enterprise AI Report puts numbers: 40% organizations still move AI output to business users through scheduled report or request to data scientist, and 41% scaling or piloting agentic AI without governance to manage it.
Domino helps enterprises close gap through talent and technology: Talent - forward-deployed engineers expert builders who work within customer's environment and understand how to leverage diversity of AI tools and Domino platform to bring innovation efficiency. Technology - unified platform that underpins building scaling governance integration of AI systems for mission-critical workflows supporting models from statistical to generative AI while providing trust safety required for high-consequence impact in regulated industries. Through these elements process changes: AI is inside work rather than alongside it.
In practice, these solutions include quant-research agent co-built with global investment firm, ones that help some of largest pharmaceutical companies bring new cures to market sooner, and target-recognition models deployed at tactical edge by defense organizations.
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. Its platform and expertise are trusted by the world's largest enterprises using AI solutions for mission-critical work. Founded in 2013, Domino is backed by Sequoia Capital, Coatue Management, NVIDIA, NetApp, Snowflake, UBS, and other leading investors.
