Domino Data Lab Promotes COO to CEO as Enterprise AI Strategy Shifts Toward Operational Integration

Domino Data Lab has moved its operating leader into the top seat — a signal that the company's next chapter is less about building AI models and more about putting them to work inside real business workflows.

Thomas Robinson, formerly COO, has been named CEO. Co-founder Nick Elprin moves into the combined role of Chief Product Officer, President, and Chairman, keeping him close to the technology roadmap while Robinson takes charge of the broader business. The transition formalizes a strategy Robinson helped design: closing the operational gap between deploying an AI model and actually embedding its output into day-to-day enterprise decisions.

Key Takeaways

• The operational gap is the real problem. Domino's own 2026 Enterprise AI Report found that 40% of organizations still deliver AI output to business users through scheduled reports or requests to data scientists — not integrated directly into workflows. Meanwhile, 41% are piloting or scaling agentic AI without governance in place.
• Domino's model pairs software with forward-deployed engineers who embed inside customer environments to build and integrate AI applications, rather than leaving organizations to wire together models, data, and business systems on their own.
• The company's customer base is in regulated industries — government agencies, financial services, life sciences — where security, governance, and reliability are non-negotiable. Notable deployments include quantitative research agents built with a global investment firm and target-recognition models deployed by defense organizations.
• Key partners and investors include NVIDIA, Snowflake, NetApp, UBS, Sequoia Capital, and Coatue Management.

Robinson's promotion puts the executive who reshaped Domino's go-to-market strategy in charge of executing it at scale — a clear bet that the market for enterprise AI infrastructure is moving from experimentation into production.

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