On Monday, Anthropic announced a new joint venture dedicated to deploying enterprise AI services, marking a significant escalation in the commercial AI arms race. The venture, which includes Blackstone, Hellman & Friedman, and Goldman Sachs as founding partners, is valued at $1.5 billion according to the Wall Street Journal. Each of the three founding partners committed $300 million, with additional backing from Apollo Global Management, General Atlantic, GIC, Leonard Green, and Sequoia Capital.
Just hours before the Anthropic announcement, Bloomberg reported that OpenAI is raising funds for a similar venture called The Development Company. OpenAI's venture is larger in scale, seeking $4 billion from 19 investors against a $10 billion valuation. Named investors include TPG, Brookfield Asset Management, Advent, and Bain Capital. Notably, there is no overlap in investment between the two ventures, highlighting the competitive landscape.
The Strategic Logic Behind the Ventures
Both ventures follow the same fundamental logic: raising capital from alternative asset managers to create new channels for enterprise AI deals. The ventures will likely secure preferred sales access to the investor's portfolio companies, while the investors capture more value from resulting contracts. This model mirrors the closed-loop investment strategies seen in earlier tech cycles, where VC-backed startups often received preferential treatment from their investors' other holdings.
For Anthropic and OpenAI, these joint ventures serve multiple purposes. They provide a dedicated pipeline for enterprise sales, bypassing traditional procurement hurdles. They also inject fresh capital for engineering resources, allowing each company to deploy forward-deployed engineers (FDEs) — a model popularized by Palantir. These engineers work directly with client teams to customize AI tools for specific workflows.
As Anthropic stated 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.
Background of the Two AI Labs
Anthropic was founded in 2021 by former OpenAI employees Dario Amodei and Daniela Amodei, with a mission focused on AI safety and alignment. The company has raised billions over multiple rounds, with backers including Google, Salesforce, and now Blackstone. Its Claude series of AI models competes directly with OpenAI's GPT series. OpenAI itself was founded in 2015 as a nonprofit but transitioned to a capped-profit structure in 2019. It has seen explosive growth since launching ChatGPT in late 2022, driving a massive surge in enterprise interest.
Both labs have been fundraising at a blistering pace while circling possible IPOs. In late March, OpenAI closed $122 billion in new funding 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 numbers underscore the immense capital requirements for frontier AI development and the growing conviction among investors that enterprise AI will be a dominant profit center.
Detailed Comparison of the Two Ventures
Anthropic's joint venture is structured with Blackstone, Hellman & Friedman, and Goldman Sachs as founding partners, each contributing $300 million. The remaining investors — Apollo Global Management, General Atlantic, GIC, Leonard Green, and Sequoia Capital — have not disclosed specific amounts but are collectively backing the $1.5 billion valuation. The venture will focus on deploying AI across mid-sized companies in sectors like healthcare, finance, and manufacturing, where Anthropic already sees strong demand.
OpenAI's The Development Company has a broader mandate and larger capitalization. With $4 billion from 19 investors, including TPG, Brookfield Asset Management, Advent, and Bain Capital, the venture will target larger enterprises and potentially governments. OpenAI has also discussed creating a dedicated engineering team that embeds with clients for longer periods, similar to Anthropic's FDE approach. The absence of crossover investors suggests that the market sees both ventures as distinct and non-redundant opportunities.
Implications for the Enterprise AI Market
The simultaneous launch of these ventures signals a maturing of the enterprise AI market. Instead of simply selling API access, providers are now investing in deep integration and customization. This shift is driven by the recognition that generic AI models often fail to deliver value without fine-tuning to specific organizational contexts. The FDE model, where engineers sit side-by-side with client staff, addresses the last mile problem of AI adoption.
Industry analysts have noted that this approach can dramatically increase switching costs for clients, locking them into a vendor's ecosystem. It also creates new revenue streams for the AI labs beyond token usage fees. For investors, these ventures offer a way to capture value from the AI boom while diversifying beyond pure equity stakes in the labs themselves.
The ventures also raise questions about competition and market concentration. If Anthropic and OpenAI succeed in embedding their engineers within thousands of companies, they could cement duopoly control over enterprise AI. Smaller labs like Cohere, Mistral, and AI21 may struggle to compete unless they form similar alliances. Regulators may eventually scrutinize these structures for potential anti-competitive effects, especially given the overlapping investments from large financial institutions.
Historical Context: The Rise of Forward-Deployed Engineering
The FDE model was pioneered by Palantir in the 2000s. Palantir's engineers embedded with government intelligence agencies and later financial firms, building custom data analysis tools. The model was crucial for Palantir's growth but also led to high costs and slow scaling. Anthropic and OpenAI are betting that AI can make FDEs more productive, reducing the time needed to customize models and thus allowing the model to scale more efficiently.
In the 2020s, several AI startups experimented with FDE-like practices. For example, Scale AI and C3.ai have used hybrid engineering teams to deploy AI in enterprise settings. However, the scale of Anthropic's and OpenAI's ventures dwarfs these earlier efforts. With billions in dedicated capital, they can hire thousands of engineers and work with hundreds of simultaneous client engagements.
The Funding Landscape and Path to IPO
Both labs are in a race to achieve profitability and eventually go public. OpenAI's $122 billion funding round in March valued it at $852 billion, making it one of the most valuable private companies in the world. Anthropic's pending $50 billion round at a $900 billion valuation would make it even more valuable, though that figure includes the joint venture's value. The joint ventures themselves may eventually be spun off or taken public separately, providing an additional liquidity path for investors.
The blistering pace of fundraising reflects the enormous compute costs required to train frontier models. Each new generation of AI models consumes exponentially more computing power, driving up capital requirements. By creating dedicated ventures focused on enterprise deployment, Anthropic and OpenAI can ring-fence some of the revenue streams and demonstrate profitability to potential IPO underwriters.
Critics argue that the joint ventures could create conflicts of interest. The same private equity firms that invest in these ventures also have stakes in portfolio companies that might become clients. This could lead to preferential pricing or forced adoption. However, both labs have stated that the ventures will operate with independent governance and arm's-length transaction policies.
What Comes Next
With both ventures now public, the next steps involve hiring engineers, launching pilot engagements, and negotiating enterprise contracts. Anthropic's venture may focus initially on healthcare and legal services, where its Claude model has shown strong performance. OpenAI's venture is expected to target large financial institutions and tech companies, where its GPT-5 model already has a foothold.
The announcement has already sparked interest from other AI labs. Sources indicate that Cohere and Mistral are in early talks with investors about similar structures, though no formal plans have been announced. The FDE model is also being adopted by traditional software vendors like Salesforce and Microsoft, which have their own AI copilots to deploy.
Ultimately, the success of these ventures will depend on whether they can deliver measurable ROI to client enterprises. If the FDE approach proves cost-effective, it could transform enterprise AI from a niche experiment into a mainstream operational tool. If it fails to scale, the billions invested may be lost, and the AI industry may shift back to a pure API model. For now, the market is betting big on deep integration.
Source: TechCrunch News