It’s not about the model anymore
For years, the AI industry has been obsessed with one question: who builds the smartest model? That race is far from over, but a new bet from Anthropic and Blackstone suggests the next trillion-dollar opportunity lies elsewhere. It’s not about the model. It’s about what you do with it.
Ode with Anthropic is the name of a new $1.5-billion joint venture. Backed by Blackstone, Hellman & Friedman, Goldman Sachs, and others, the company is designed to do one thing: help the world’s largest businesses actually use AI. Not just buy a license. Not just run a pilot. Rewire core operations around it.
The move mirrors OpenAI’s own The Deployment Company, launched earlier this year. Both labs have quietly acknowledged a hard truth: selling enterprise AI requires more than a better benchmark score. It demands engineers on the ground, custom integrations, and a willingness to get your hands dirty.
How a Blackstone frustration became a company
The idea for Oe didn’t start inside Anthropic. It started inside Blackstone. The private equity giant had been trying to implement AI across its portfolio companies, bringing in both large consulting firms and smaller AI services boutiques. The results were mixed.
One boutique stood out: Fractional AI, an AI engineering services startup. Blackstone noticed. Shortly after the joint venture was announced, it acquired Fractional, turning the startup into the foundation of what is now Ode. Fractional had ended an 11-month partnership with OpenAI when the deal went through.
Chris Taylor, CEO of Ode and co-founder of Fractional, is blunt about the ambition. “It’s pretty easy to imagine this as a trillion-dollar company someday if we execute well,” he told TechCrunch. The real challenge, he says, is scaling fast without sacrificing quality.
Ode’s approach: boutique quality, private equity scale
Ode currently employs 100 engineers. It works directly with Anthropic’s applied AI team to identify where the technology can have a real impact, then builds custom systems tailored to each client’s operations. Anthropic’s internal team will continue to handle strategic, mission-aligned deployments. Ode handles the rest.
The venture will operate under a “Claude-first” principle, meaning it will use Anthropic’s technology — including features like Claude Tag in Slack — whenever possible. But it’s not locked in. If a rival model works better for a specific problem, Ode will use it.
Eddie Siegel, Ode’s chief technologist and a Fractional co-founder, puts it this way: “I think model selection matters, but it’s not where the majority of calories are spent. It’s one ingredient in a system that has to be engineered.”
The ideal customer: a CEO who’s all in
For Ode, the right customer isn’t the one with the biggest IT budget. It’s the one whose CEO is personally committed. Taylor says the work Ode does tends to be the top priority for the CEO — “the most important product feature that the company is going to build over the course of the next two years, or reworking the most important business process they have.”
That level of buy-in matters, because the work is not trivial. Taylor describes AI as “this magic, hallucinating ingredient” that needs to be carefully integrated into core business processes. Most companies simply don’t have the talent to do it themselves.
Who are Ode’s engineers? The ‘special forces’
Ode’s executives describe their team as elite generalist software engineers. Over half are former founders. Siegel calls them the kind of people who can “juggle a really challenging technical problem, but also own something end-to-end.” One Blackstone executive put it more bluntly: this is the “special forces,” not an army of forward-deployed engineers (FDEs).
Demand for such teams far outstrips supply. That’s a problem, because Ode plans to scale internationally while keeping its boutique positioning. It runs constant evaluations to measure the business impact of its implementations. But finding enough “grown-up” engineers who combine entrepreneurial experience, systems thinking, AI expertise, and enterprise product judgment is not easy.
Siegel isn’t worried. “It has never been an easier time to become an entrepreneur,” he says. “You learn so much by trying to own problems end-to-end. That’s the skill set that fits really well with Ode.”
The competition: consulting giants and rival labs
Ode is not alone in this market. OpenAI’s The Deployment Company is a direct competitor. So are consulting giants like Deloitte and Accenture, which have built their own forward-deployed engineering teams. The race to own enterprise AI implementation is already crowded.
But Ode’s backers believe the market is big enough for multiple winners. The private equity firms involved will funnel their own portfolio companies to the venture as potential customers, though Ode is not limited to selling to those companies.
The founding belief, Taylor says, is that “non-AI companies are going to be among the big winners of this whole AI moment if they adopt the technology the right way.” That’s a big if. Ode is betting it can be the one to help them get there.
The bottom line: deployment is the new frontier
Whether Ode can train enough engineers, maintain quality, and fend off competitors remains an open question. But the signal from Anthropic, Blackstone, and OpenAI is clear. The next great AI race will not be won on a leaderboard. It will be won inside the world’s largest companies, one custom integration at a time.
Models are becoming commodities. Implementation is the moat.
