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Inside Ode with Anthropic, the startup betting AI services are the future of enterprise
Can a handful of engineers really do the work of an army of consultants? That's the bet behind Ode with Anthropic -- the joint venture dedicated to embedding forward-deployed engineers in enterprise firms, backed by Anthropic, Blackstone, Hellman & Friedman, Goldman Sachs and others. On this episode of TechCrunch's Equity podcast, Rebecca Bellan sits down with Ode's leaders Chris Taylor and Eddie Siegel, who founded Fractional AI, the applied AI services startup that Ode acquired earlier this year to serve as the new venture's core. The three discuss why so many enterprise AI pilots never make it to production and why they think AI-native services are about to become one of the biggest categories in tech. Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod.
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Anthropic and Blackstone launch Ode, an AI implementation firm
Anthropic, Blackstone, and Hellman & Friedman have launched Ode, a $1.5bn AI implementation firm. The bet: the next fortune in AI is in deployment, not models. The race in AI has been about who builds the best model. A new company backed by Anthropic thinks the real money sits elsewhere: in getting those models to actually work inside big companies. That company is Ode with Anthropic, and it launched under its full name this week, the partners said. Anthropic, Blackstone, and Hellman & Friedman set it up as a $1.5 billion venture, TechCrunch first reported. The pitch Ode sells AI implementation. It sends small teams of senior engineers into a business, finds where AI can help, then builds the systems that do it. The founders call it a "Claude-first" approach, using Anthropic's models where they can, and rivals where they cannot. The ambition is blunt. Chief executive Chris Taylor told TechCrunch it is "pretty easy to imagine this as a trillion-dollar company someday if we execute well." Most enterprise AI pilots never reach production. Ode wants to be the firm that closes that gap. Special forces, not an army The company runs on about 100 engineers, and more than half once founded their own startups. One Blackstone executive called them "special forces," not a mass of forward-deployed engineers. Ode is built on Fractional AI, an applied-AI boutique it bought in May. Blackstone had spotted the startup while wiring AI into its own portfolio companies. Fractional ended an 11-month partnership with OpenAI when the deal closed. Its founders, Taylor and Eddie Siegel, now run Ode. Siegel plays down the model wars. "Model selection matters, but it's not where the majority of calories are spent," he said. He likens it to picking a programming language. It matters, but it does not decide the project. A crowded new market Ode is not alone in the bet. OpenAI has its own version, The Deployment Company, and consulting giants Deloitte and Accenture have built rival teams. Even Microsoft keeps warning that AI only pays off when it reshapes how a business runs. The demand is real, and so is the friction. Firms are wary after episodes like HubSpot's customer-data revolt, and few can measure whether their AI actually works, a gap others are also racing to close. Ode's wager is that a small band of expensive engineers can win where the pilots failed.
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Anthropic, Blackstone, and Hellman & Friedman have launched Ode, a $1.5 billion AI implementation firm that sends elite engineering teams into enterprises to bridge the gap between AI pilots and production. The venture signals a major shift in focus from building models to actually deploying them in real-world business environments.

Anthropichas joined forces with Blackstone and Hellman & Friedman to launch Ode with Anthropic, a $1.5 billion venture that represents a fundamental shift in how the AI industry approaches enterprise value creation
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. The AI implementation firm, which officially launched this week, is backed by additional investors including Goldman Sachs and operates on a bold premise: the next fortune in artificial intelligence lies not in building better models, but in getting those models to actually work inside large organizations1
.The company addresses a critical pain point that has plagued the industry. Most enterprise AI initiatives never make it from pilot programs to production systems, leaving businesses frustrated and unable to capture the promised value from their AI investments
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. Ode's solution involves deploying small teams of senior engineers directly into businesses to identify where AI can deliver impact, then building the systems that make it happen.Ode operates with approximately 100 engineers, more than half of whom previously founded their own startups
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. A Blackstone executive described this workforce as "special forces" rather than a mass of forward-deployed AI engineers, emphasizing the caliber and experience level of the team. This approach contrasts sharply with traditional consulting models that rely on large armies of consultants.The venture is built on the foundation of Fractional AI, an applied AI services startup that Ode acquired in May
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. Chris Taylor and Eddie Siegel, who founded Fractional AI, now lead Ode as its core leadership team. Blackstone had initially discovered the startup while implementing AI across its own portfolio companies. Fractional AI ended an 11-month partnership with OpenAI when the acquisition closed2
.Ode employs what its founders call a Claude-first approach, prioritizing Anthropic's models where applicable while remaining flexible enough to use rival models when necessary
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. Eddie Siegel downplays the significance of model selection in the broader implementation challenge. "Model selection matters, but it's not where the majority of calories are spent," he told reporters, comparing the choice to selecting a programming language—important, but not the deciding factor in project success2
.This pragmatic stance reflects a maturing understanding of what actually drives value in AI services for enterprise. The focus shifts from theoretical capabilities to practical execution, addressing the friction points that have caused many businesses to remain wary after high-profile missteps and the persistent challenge of measuring whether AI deployments actually deliver returns.
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Chris Taylor articulated ambitious expectations for the venture's potential. "It's pretty easy to imagine this as a trillion-dollar company someday if we execute well," he told TechCrunch
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. The statement reflects the founders' belief that AI-native services represent one of the biggest emerging categories in technology, a thesis they discussed in detail on TechCrunch's Equity podcast1
.The market Ode enters is already crowded with competitors pursuing similar strategies. OpenAI has launched its own version called The Deployment Company, while consulting giants Deloitte and Accenture have built rival teams focused on AI implementation
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. Even Microsoft has repeatedly emphasized that AI investments only generate returns when they fundamentally reshape how businesses operate, not merely through surface-level integrations.The convergence of multiple major players around this implementation thesis suggests the demand is substantial and the opportunity real. For enterprises watching this space, the emergence of specialized firms like Ode signals that the gap between AI promise and AI delivery may finally be narrowing, though success will depend on execution rather than ambition alone.
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