OpenAI, Anthropic Launch PE-Backed AI Services Acquisition Ventures

OpenAI and Anthropic are separately partnering with private equity firms to acquire services companies that help businesses deploy artificial intelligence, according to Reuters. The moves aim to secure engineers and consultants to roll out their AI models for corporate customers.

OpenAI’s Deployment Company

OpenAI’s venture, called The Deployment Company, is in advanced talks on three deals and is raising approximately US$4 billion from 19 investors, according to Reuters. Key investors include TPG, Bain Capital, and Brookfield Asset Management. The Deployment Company carries a US$10 billion valuation before the new funding round.

OpenAI will own and control most of the venture. The structure turns private equity partners into a ready sales path across more than 2,000 companies they own or advise, according to the source.

Anthropic’s Strategy

Anthropric is pursuing a similar strategy and has raised US$1.5 billion from investors including Blackstone, Hellman & Friedman, and Goldman Sachs, according to Reuters. Most of the capital is expected to fund acquisitions of engineering and consulting firms.

Anthropric wants to put its Claude AI system into day-to-day operations at midsize businesses, including community banks and regional health systems, according to the source.

Strategic Context

Both firms may move toward initial public offerings as soon as this year, according to the report. The ventures represent a shift in how AI companies approach market adoption: rather than operating as high-margin software businesses with minimal service requirements, both OpenAI and Anthropic are taking on hands-on service work to support deployment into real-world business operations.

The strategy echoes approaches used by firms like Palantir, which places engineers inside customer operations to fit software to each setting. According to Reuters, business adoption of AI still depends on skilled people, underscoring the need for consultants and engineers alongside model quality.