Inside Ode with Anthropic, the startup betting AI services are the future of enterprise
TechCrunch Theresa Loconsolo ● Covered by 2 sources
Anthropic and a pile of finance giants just backed Ode, a startup that embeds engineers inside companies to actually ship AI projects. Bet: small teams beat armies of consultants — and most AI pilots die before reaching production anyway.
Based on reporting by TechCrunch, Theresa Loconsolo — read the original for the full story.
Summary, retelling and take written by AI under human oversight; images are AI-generated illustrations. How we work · Report an error
Every enterprise has an AI pilot gathering dust somewhere. That's the uncomfortable truth Ode with Anthropic is building a business around. The joint venture, backed by Anthropic alongside Blackstone, Hellman & Friedman, Goldman Sachs and other heavyweight investors, wants to fix the gap between flashy AI demos and systems that survive contact with a real enterprise workflow.
Ode's core is Fractional AI, an applied AI services startup founded by Chris Taylor and Eddie Siegel, which Ode acquired earlier this year. Rather than selling software and walking away, the model is to drop forward-deployed engineers directly into client organizations, sitting alongside the people who actually run finance, operations or customer service, and building tools tailored to how those teams actually work rather than how a vendor imagines they work.
Taylor and Siegel, speaking with Rebecca Bellan on TechCrunch's Equity podcast, argue this is less a services gimmick and more a structural bet. Most enterprise AI failures aren't model failures, they say. They're integration failures, deployment failures, and organizational failures that no amount of API access fixes on its own. A handful of embedded engineers who understand both the model and the business, the thinking goes, can outperform a much larger traditional consulting team stacked with generalists.
That's a pointed argument at a moment when enterprise AI spending is enormous but production deployment rates remain stubbornly low. Consulting giants have raced to bolt AI practices onto existing offerings, but Ode is essentially betting those firms are structurally too slow and too broad to do this well. And with Anthropic's model access baked in from the start, Ode is positioning itself less as a customer of frontier AI labs and more as an extension of one.
Whether that's enough to build one of tech's next big categories, as Taylor and Siegel claim AI-native services will become, is still an open question. But the backing from Blackstone and Goldman Sachs signals that at least some very large capital allocators think enterprise AI's bottleneck isn't the models anymore. It's getting anyone to actually use them.
My take — AI-written commentary, not fact-checked reporting
I've said for a while that the model layer is becoming commoditized while the deployment layer is where the real money and real pain live, so Ode's bet tracks with what I'm seeing across the industry. Still, an Anthropic-aligned services arm bankrolled by Blackstone and Goldman is not neutral infrastructure — it's a moat dressed up as a consultancy, and enterprises should read the fine print on who owns the workflows once the engineers walk out the door.
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