On Monday, Anthropic announced a joint venture focusing on deploying enterprise AI services. Blackstone, Hellman & Friedman, and Goldman Sachs will be founding partners in the new venture, which is backed by a group of VCs, hedge funds, and private equity firms, including Apollo Global Management, General Atlantic, GIC, Leonard Green, and Sequoia Capital.

The Wall Street Journal, which first reported news of the partnership, reported the new venture was valued at $1.5 billion, which includes a $300 million commitment each from Anthropic, Blackstone, and Hellman & Friedman.

The announcement comes just as Anthropic’s chief rival is preparing to make a similar move. Mere hours before the Anthropic announcement, Bloomberg reported that OpenAI was raising funds for a new venture called The Development Company, along very similar lines. OpenAI’s venture would operate at a larger scale, raising $4 billion from 19 investors against a $10 billion valuation. Named investors include TPG, Brookfield Asset Management, Advent, and Bain Capital, with no apparent overlap in investment between the OpenAI venture and Anthropic’s competitor.

The overall logic of the two ventures is the same: raising money from alternative asset managers to create new channels for enterprise AI deals. The ventures will presumably get preferred sales access to their investors’ portfolio companies, while the investors will capture more value from any resulting contracts.

The Rise of Dedicated Enterprise AI Ventures

Enterprise AI is a rapidly expanding market, with businesses across industries seeking to leverage generative AI for operational efficiencies, customer service, data analysis, and product development. However, many companies lack the in-house expertise to integrate AI models effectively into their workflows. This gap has prompted leading AI labs to offer more than just API access—they now provide custom engineering services, often through forward-deployed engineer (FDE) teams. This model, popularized by Palantir, involves engineers working directly on-site with clients to build tailor-made solutions.

The new capital from these joint ventures will allow both Anthropic and OpenAI to scale their FDE operations significantly. As Anthropic put it in its announcement: “An engagement might begin with the company’s engineering team sitting down with clinicians and IT staff to build tools that fit into the workflows that staff already use… Engagements like this will run across mid-sized companies across industries, each shaped by the people closest to the work.” This hands-on approach is intended to accelerate adoption and ensure that AI tools deliver tangible value.

OpenAI’s venture, The Development Company, is expected to follow a similar playbook. By raising $4 billion from a syndicate of blue-chip alternative asset managers, OpenAI can deploy hundreds of FDEs to work with portfolio companies of its investors. The venture will also explore partnerships with system integrators and consultancies to broaden its reach.

Investor Dynamics and Strategic Rationale

For investors like Blackstone, Goldman Sachs, TPG, and Brookfield, these joint ventures offer a unique entry point into the AI value chain. By backing a dedicated entity that provides both the technology and the implementation services, they can capture a larger share of the economic upside from AI deployments within their own portfolio companies. Moreover, these ventures reduce the friction of adopting AI by offering bundled solutions with guaranteed engineering support.

The lack of overlap between the investor groups in the two ventures suggests that the market is large enough to support multiple competing ecosystems. Anthropic’s venture draws from private equity and VC heavyweights, while OpenAI’s includes infrastructure and asset management firms. Both groups see AI as a transformative force in enterprise software, and they are betting that custom-built solutions will outpace generic, off-the-shelf offerings.

Implications for the AI Industry

The simultaneous launch of these ventures underscores the intense competition between Anthropic and OpenAI. Both companies have been fundraising at a blistering pace while circling possible IPOs. OpenAI announced $122 billion in new funding at the end of March, against a valuation of $852 billion. TechCrunch reported last week that Anthropic is in the final stages of its own funding round, seeking $50 billion of new funding against a $900 billion valuation.

These joint ventures could serve as a proving ground for the next generation of enterprise AI applications. By embedding engineers directly within businesses, the labs can gather real-world feedback to improve their models and identify new use cases. Additionally, the ventures could help the labs diversify revenue streams beyond API subscriptions and consumer products, which are subject to fluctuating demand and regulatory scrutiny.

One key area of focus will be mid-sized companies, which often struggle to access the same level of AI expertise as large enterprises. The new ventures aim to democratize access by offering standardized yet customizable solutions. For example, an insurance firm might work with Anthropic’s engineers to build a claims processing assistant, while a healthcare provider might collaborate with OpenAI to develop a clinical decision-support tool. Each engagement would be tailored to the specific language, data, and compliance requirements of the industry.

The forward-deployed engineer model also raises interesting questions about talent and culture. AI engineers are among the most sought-after professionals today, and convincing them to work on-site with clients rather than on core model research requires a different value proposition. Both Anthropic and OpenAI are betting that the appeal of practical impact and exposure to diverse industries will attract top talent.

Meanwhile, the regulatory landscape for enterprise AI continues to evolve. Governments are increasingly scrutinizing how AI models are trained and deployed, particularly in sensitive sectors like finance and healthcare. The joint ventures may provide a structured way to ensure compliance, as the engineering teams can implement data governance and fairness measures from the start.

As these ventures take shape, they will likely influence how other AI companies approach the enterprise market. Competitors like Cohere, Mistral AI, and Google DeepMind may feel pressure to form similar partnerships or risk losing ground. The joint venture model could become a standard feature of the AI industry, blurring the lines between technology provider, consultancy, and system integrator.

The announcements also come at a time of rapid overall funding for AI. In the past year alone, global AI startups raised over $200 billion in venture capital, with a significant portion flowing into infrastructure and application layers. The new ventures represent a shift toward deeper integration between AI labs and the businesses they serve, moving beyond simple API calls to full-service partnerships.

Source: TechCrunch News