OpenAI Just Launched a Consulting Arm to Help Companies Deploy AI

In brief

• The OpenAI Deployment Company launches with more than $4 billion in committed capital and a $10 billion valuation, backed by 19 firms.
• OpenAI has agreed to acquire Tomoro, a U.K.-based AI consulting firm, to bring approximately 150 forward deployed engineers to the new entity from day one.
• The announcement came just after Anthropic unveiled a similar $1.5 billion venture with Blackstone, Goldman Sachs, and Hellman & Friedman.

OpenAI has launched the OpenAI Deployment Company, a new majority-owned subsidiary designed to embed specialized engineers directly inside enterprises working on complex, high-stakes AI projects. The company enters with more than $4 billion in initial investment—and a $10 billion valuation—backed by 19 firms including TPG, Goldman Sachs, SoftBank, Capgemini, and McKinsey & Company.

The model is borrowed directly from Palantir's playbook: Forward deployed engineers, or FDEs, parachute into client organizations and live inside the complexity—legacy infrastructure, compliance constraints, convoluted permissions—rather than shipping software and leaving the implementation headache to someone else.

To staff the new entity from day one, OpenAI has agreed to acquire Tomoro, a U.K.-based applied AI consulting firm with deployments at Tesco, Virgin Atlantic, and Supercell, where its engineers built an in-game support agent serving 110 million users in 12 weeks. The acquisition brings roughly 150 engineers and deployment specialists. It is subject to regulatory approvals and expected to close in the coming months.

Days before OpenAI's announcement, Anthropic revealed its own enterprise deployment venture—a $1.5 billion entity backed by Blackstone, Hellman & Friedman, and Goldman Sachs—with essentially the same premise: embed engineers inside companies, redesign workflows around AI agents, build durable systems that don't evaporate after the pilot phase.

The enterprise AI race is no longer primarily about benchmarks or model releases. It is about who owns the implementation layer, the deeply human work of getting AI into production inside organizations that weren't built for it. Enterprise already accounts for more than 40% of OpenAI's revenue, with the company reporting $25 billion in annualized revenue as of February, and enterprise on pace to reach parity with consumer revenue by end of 2026.