Anthropic and Wall Street giants are pouring $1.5 billion into a new venture called Ode, betting that the real money in AI now lies in embedding experts inside companies rather than just building ever-bigger models.

Early recognition: models aren’t enough

As foundation models rapidly improved, enterprise adoption lagged, with many AI pilots stalling before they reached real-world production. TechCrunch reports that AI labs like Anthropic and OpenAI began spinning up separate businesses “dedicated to deploying AI engineers to their customers’ offices,” aiming to turn powerful models into working systems inside enterprises.¹

May launch: Ode with Anthropic is born

In May, Anthropic formally launched Ode with Anthropic, a $1.5 billion AI implementation company created as a joint venture with Blackstone, Hellman & Friedman, Goldman Sachs, and others.¹ Blackstone originally conceived the idea after discovering that both large consulting firms and small AI boutiques struggled to consistently deliver production-ready AI across its portfolio companies.¹

Fractional AI acquisition: building a “scaled boutique”

To form Ode’s core, the venture acquired Fractional AI, an applied AI engineering services startup that had stood out among Blackstone’s vendors.¹ The deal ended Fractional’s 11‑month partnership with OpenAI, and its founders, Chris Taylor and Eddie Siegel, now lead Ode as a kind of “scaled boutique” AI services firm focused on elite, forward‑deployed engineers.¹

On TechCrunch’s Equity podcast, Ode’s leaders described the company as “the startup betting AI services are the future of enterprise,” positioning AI‑native services as one of the next major tech categories.²

The trillion‑dollar ambition and quality dilemma

Ode currently employs about 100 engineers and works closely with Anthropic’s applied AI team to find high‑impact use cases and tailor systems to each client’s operations.¹ CEO Chris Taylor told TechCrunch it’s “pretty easy to imagine this as a trillion-dollar company someday if we execute well,” framing the core challenge as managing hypergrowth without losing “the emphasis on quality.”¹

Anthropic, meanwhile, keeps its internal team focused on strategic, mission‑aligned deployments, while private‑equity backers plan to funnel their portfolio companies to Ode—an early pipeline test of whether implementation, not just models, really is AI’s next gold rush.¹