Anthropic, Blackstone, and Hellman & Friedman on July 15 introduced Ode with Anthropic, a standalone enterprise AI services firm built around a bet that the biggest obstacle to corporate AI adoption isn’t the models — it’s getting them wired into how a business actually runs.
The company grows out of a partnership Anthropic struck with Blackstone and Hellman & Friedman in May, when the investors also backed the acquisition of Fractional AI, an applied-AI consultancy. Fractional’s co-founders, Chris Taylor and Eddie Siegel, now lead Ode as CEO and chief technologist, and its roughly 100 engineers form the new firm’s operating core.
A $1.5 billion bet on implementation, not models
Ode is backed by a wider investor group that includes Goldman Sachs, General Atlantic, Leonard Green & Partners, Apollo Global Management, GIC, and Sequoia Capital, at a reported $1.5 billion valuation, according to TechCrunch. Blackstone, which manages more than $1.3 trillion in assets, said it identified the gap firsthand while rolling out AI across its own portfolio companies and found implementation expertise, not model access, was the scarce resource.
“Companies everywhere see the potential for what AI can do for their businesses, the challenge is making it real,” Taylor said in the launch announcement. Siegel put it more bluntly: “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.”
Forward-deployed engineers, not just software
Ode’s approach mirrors a playbook that’s become common among frontier AI labs this year: place engineers directly inside client offices to identify use cases and build systems around them, rather than selling software off the shelf. Microsoft launched its own $2.5 billion Frontier Company in June to embed AI engineers with enterprise customers, and OpenAI runs a comparable unit called The Deployment Company. Consulting giants Deloitte and Accenture have built parallel forward-deployed teams of their own.
Ode says it will focus first on mid-size companies in financial services, healthcare, retail, manufacturing, and software — organizations large enough to need custom AI systems but without the in-house engineering bench of a tech giant. The pitch, in short, is enterprise AI adoption delivered as a service, backed by direct access to Anthropic’s model teams.