Domino Data Lab Appoints Former COO Thomas Robinson as CEO to Drive Enterprise AI

Domino Data Lab has appointed Thomas Robinson as its new Chief Executive Officer, transitioning former CEO and co-founder Nick Elprin to the roles of Chief Product Officer and President. For fintech and enterprise leaders, this leadership shift marks a pivot from experimental AI development toward integrated, mission-critical platforms that bridge the gap between raw model output and high-stakes business decision-making.

What was announced

Domino Data Lab has transitioned its core focus from a data science platform to an enterprise AI solutions provider. Central to this evolution is the appointment of Thomas Robinson as CEO. Robinson, who previously served as the company’s Chief Operating Officer, is tasked with scaling the company’s go-to-market strategy and solution-based approach. Nick Elprin, the co-founder and former CEO, will now lead the product and engineering organization as Chief Product Officer, President, and chairman of the board.

The leadership shift comes as the company addresses a significant "last-mile" problem in AI adoption. According to the 2026 Enterprise AI Report, 40% of organizations still rely on manual processes, such as scheduled reports or requests to data scientists, to deliver AI outputs to business users. Furthermore, 41% of organizations are currently piloting or scaling agentic AI without the necessary governance frameworks. Domino’s platform is designed to bridge this gap by providing a unified environment for building, scaling, and governing AI systems across mission-critical workflows.

The platform supports a wide range of models, from traditional statistical methods to modern generative AI. Current applications of the technology include a quant-research agent developed with a global investment firm, target-recognition models for defense organizations, and tools used by pharmaceutical companies to accelerate drug discovery. To support these deployments, Domino utilizes forward-deployed engineers who work directly within customer environments to integrate AI into existing business processes, ensuring intelligence is grounded in protected proprietary data.

"AI’s promise turns real when systems of models move people closer to making better judgments. In the enterprise, this means putting AI solutions into action for people who solve real problems for the world’s health, security, and safety. It’s the honor of my career to lead Domino through this next chapter as the enterprise AI solutions platform underpinning this shift."

Thomas Robinson, CEO at Domino Data Lab.

The companies involved

Domino Data Lab operates as a substrate for enterprise AI, specifically targeting highly regulated sectors like financial services, life sciences, and government agencies. The company has secured backing from a heavy-hitting roster of strategic investors, including NVIDIA, the dominant force in AI hardware, and Snowflake, a leader in cloud data warehousing. NetApp, a global provider of data infrastructure, and UBS, the Swiss multinational investment bank, also support the firm. This investor base reflects the interconnected nature of data storage, processing power, and AI application in the modern stack.

Other notable backers include Sequoia Capital, a prominent venture capital firm known for early-stage technology investments, and Coatue Management, a global investment manager focused on technology-led growth. These partnerships are central to Domino’s strategy of integrating AI into existing enterprise workflows. By positioning itself between the data infrastructure layer—represented by NetApp and Snowflake—and the end-user application, Domino seeks to provide the governance and scaling capabilities required for mission-critical operations in sectors where errors carry high consequences.

What FF News has reported before

FF News has previously tracked the influence of Domino’s key investors and the broader evolution of the enterprise technology landscape. We recently covered how Money20/20 USA Unveils 2026 Agenda Featuring Leaders From Kalshi, Sequoia Capital, HSBC, and Adyen, highlighting the ongoing role of Sequoia Capital in shaping the future of financial technology. Additionally, our reporting on the shifting global financial landscape, such as the projection that Asia Pacific to Overtake US as Global Finance Center with $4.8 Trillion Economic Value by 2035, underscores the massive scale of the markets where enterprise AI solutions are being deployed. We have also examined the infrastructure required for complex environmental markets in Climate Impact X and Carbonplace to Merge, Creating Global Infrastructure for Environmental Markets, reflecting the industry-wide push toward more sophisticated, data-driven platforms.

What this means

The transition of leadership at Domino Data Lab marks a broader industry realization: the "experimental" phase of enterprise AI is ending. As organizations move from testing models to deploying agentic AI, the primary bottleneck is no longer model performance, but governance and integration. This announcement puts pressure on general-purpose AI providers who lack the specific "last-mile" infrastructure for regulated industries like fintech and defense. The industry is now forced to answer whether AI will remain a side-car tool or become the core operating foundation of the enterprise. For the fintech sector, the focus shifts toward whether these platforms can provide the "trust and safety" required for high-consequence financial decisions.