Anthropic and OpenAI are both launching joint ventures for enterprise AI services
Summary
Anthropic has launched a joint venture focused on deploying enterprise AI services, with founding partners Blackstone, Hellman & Friedman, and Goldman Sachs. This new entity is valued at $1.5 billion, including a $300 million commitment from Anthropic, Blackstone, and Hellman & Friedman. This move closely follows a similar initiative by OpenAI, which is reportedly finalizing its own venture, The Development Company, aiming for a $10 billion valuation with $4 billion in funding from investors like TPG and Brookfield Asset Management. Both ventures seek to raise capital from alternative asset managers to establish new channels for enterprise AI deals, gain preferred sales access to investor portfolio companies, and allocate more engineering resources using a forward-deployed engineer model.
Key takeaway
For CTOs and VPs of Engineering evaluating enterprise AI adoption, these new joint ventures from Anthropic and OpenAI signal a shift towards deeply integrated, service-oriented AI solutions. You should assess how these structured partnerships might offer more tailored deployments and dedicated engineering support compared to traditional vendor models, potentially streamlining complex AI integrations within your organization.
Key insights
AI labs are forming joint ventures with financial firms to accelerate enterprise AI deployment and secure new sales channels.
Principles
- Strategic partnerships can create preferred sales access.
- Forward-deployed engineers enhance integration into workflows.
Method
Raise capital from alternative asset managers to fund dedicated enterprise AI service ventures, providing preferred sales access to investor portfolio companies and deploying engineers directly to client sites.
In practice
- Explore joint ventures for market expansion.
- Adopt a forward-deployed engineer model for complex integrations.
Topics
- Anthropic Joint Venture
- OpenAI Development Company
- Enterprise AI Services
- Forward-Deployed Engineer Model
- AI Fundraising
Best for: CTO, VP of Engineering/Data, Director of AI/ML, Investor, Executive, Consultant
Related on AIssential
Editorial summary, takeaway, and curation by AIssential. Original article published by AI News & Artificial Intelligence | TechCrunch.