Tech
Anthropic, Blackstone bet the next trillion-dollar AI business is implementation, not just models
AI models are becoming ever more capable, but exactly what enterprise adoption will look like remains a big question. In a bid to shape that future, labs like Anthropic and OpenAI have spun up separate businesses dedicated to deploying AI engineers to their customers’ offices — a bet that assisting businesses in figuring out how to use their AI models is the next trillion-dollar category.
One of those businesses now has a name: Ode with Anthropic is the $1.5 billion, AI implementation company that the AI lab launched in May as part of a joint venture with Blackstone, Hellman & Friedman, Goldman Sachs, and others. The move follows OpenAI’s own take on this, The Deployment Company, underscoring a growing acknowledgement among frontier AI labs that winning enterprise customers requires far more than shipping better models.
Ode was originally conceived by Blackstone, which noticed a gap when it had roped in large consulting firms and small AI services boutiques to implement AI across its portfolio companies. One of those boutiques, AI engineering services startup Fractional AI, apparently stood out, and the joint venture acquired the startup shortly after it was announced. (Fractional ended an 11-month partnership with OpenAI when it was acquired.)
Fractional has become the foundation of what is now Ode — a kind of “scaled boutique” AI services firm. And its leaders have ambitious goals.
“It’s pretty easy to imagine this as a trillion-dollar company someday if we execute well,” Chris Taylor, CEO of Ode and co-founder of Fractional, told TechCrunch in an exclusive interview. “The key challenge of the business is how do you go through that phase of hyper growth without losing the emphasis on quality?”
Ode currently employs 100 engineers, and works closely with Anthropic’s applied AI team to identify where the tech can have an impact on different businesses, and create systems tailored to each organization’s operations.
Anthropic’s internal team will continue to focus on strategic, mission-aligned deployments, a spokesperson told TechCrunch. The private equity firms backing Ode will funnel their own portfolio companies to the joint venture as potential customers, though Ode will not limit sales of its services to those companies.
For Ode, an ideal customer is one whose CEO buys into the promise, according to Taylor.
“A lot of the work that we’re doing is the top one or two priority for the CEO of the company,” Taylor said. “It’s the most important product feature that the company is going to build over the course of the next two years, or it’s reworking the most important business process they have.”
Ode will operate under a “Claude-first” principle, meaning it will implement Anthropic’s technology, including features like Claude Tag in Slack, whenever possible. The company isn’t limited to Anthropic’s technology, though, and will use rival AI products if needed.
Eddie Siegel, Ode’s chief technologist and a Fractional co-founder, says the venture’s secret sauce is its quality of implementation, and the ability to build custom solutions for business problems.
“I think model selection matters, but it’s not where the majority of calories are spent,” Siegel said. “It’s one ingredient in a system that has to be engineered. It’s like the choice of programming language when you build a piece of software […] I would not define an enterprise transformation in terms of whether they choose Python or Java.”
Taylor added the founding belief behind Ode 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.” But to take AI, “this magic, hallucinating ingredient,” and rewire core business processes or customer experiences with it requires a lot of help, he said.
“That requires top-caliber applied AI talent, which is not something most companies have,” Taylor said.
Ode’s executives describe their team as elite generalist software engineers, over half of whom are former founders — the kind of people who can “juggle a really challenging technical problem, but also own something end-to-end,” per Siegel. Or as one Blackstone executive put it: a team of “grown-up” engineers, the “special forces” rather than an army of forward-deployed engineers (FDEs).
As several people involved in the venture told TechCrunch, demand for such FDE teams far outstrips supply. Ode’s goal is to continue scaling, internationally too, while maintaining its boutique firm positioning — in other words, running constant evaluations to measure the business impact of AI implementations.
But in a world where top engineering talent is already scarce, maintaining and growing such a team presents a real challenge. If becoming an elite applied AI engineer requires experience as an entrepreneur, systems-first thinking, AI chops, and enterprise product judgement, would Ode be able to train enough people to meet demand?
Compound those difficulties with the fact that Ode will be competing not only with OpenAI’s The Deployment Company, but also with consulting giants like Deloitte and Accenture, which have created their own FDE teams.
Siegel isn’t too worried about a dwindling pool of grown-up generalist engineers.
“It has never been an easier time to become an entrepreneur,” he said. “You learn so much by trying to own problems end-to-end, going to try and get product-market fit, move the needle on a business. You learn a lot there that you don’t learn from just solving a narrow problem. That’s the skill set that fits really well with Ode.”
Whether enough of those engineers will show up remains an open question. But if Ode and its backers are right, the next great AI race won’t just be about the best models, but about who can successfully put those models to work inside the world’s largest companies.
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Tech
A SpaceX vet raised $65M to pull wire harnesses out of the Cold War era
When Senra CEO Jordan Black was a SpaceX engineer, he took on the job of scaling up the company’s wire harnesses to support production of Starship, the company’s next-generation rocket.
Wire harnesses are what they sound like: the internal electrical cabling that runs through a rocket ship, car, plane, or tractor and becomes increasingly important the smarter those vehicles get. They’re bespoke, put together by technicians who are, functionally, experienced craftspeople.
“I traveled all over the world to go visit wire harness companies,” Black told TechCrunch last month. “It really hasn’t changed since the Cold War era of wooden tables [and] manual processes.”
Black and co-founder Benjamin Shanahan started Senra in 2023 to offer a more modern solution to vehicle manufacturers. Today, the startup is announcing a $65 million Series B round, co-led by Lowercarbon and Interlagos with participation from General Catalyst, Sequoia Capital, Andreessen Horowitz, and Founders Fund, among others.
Senra isn’t looking to take humans out of the handmaking process — at least not while robots find manipulating wires a challenge and relevant training data remains scarce. Instead, it’s turning to software tools and other forms of automation to modernize aspects of the traditional manual work.
The company is benefiting from the surge of money into U.S. manufacturing, particularly the defense industrial base. While Black couldn’t disclose customers, he said they include builders of “anything from submarines and maritime vehicles, to defense vehicle systems on land, to launch vehicles, to satellites.”
If it doesn’t sound immediately important, consider a recent wire harness disaster. In 2023, Boeing discovered that its Starliner spacecraft’s wiring was held together with flammable tape, forcing an expensive delay while the entire wiring system was redone.
Black points to that experience as a reason to raise the standards for wire harnessing, using automated systems to track materials and engineering changes. “Having it all in the same software is probably the most important thing, because it’s all the little inputs that happen that can make a catastrophic change down the road,” he said.
Senra uses Amp, a proprietary software platform, to standardize the inputs throughout the wiring process and produce a digital twin to guide its technicians, who are trained by the company in what Black says is the only federally certified wire harness training program. The company is also, as it scales, finding ways to automate more of the process.
“It goes back to the Elon principle of, ‘automation is last,’” Black told TechCrunch. “We’re working on it now, but a lot of it the standardization and the foundation building that made SpaceX be able to scale something like rockets, which you could only build one a year if you were lucky, and now they do hundreds a year.”
Senra — which, by the way, is “harness” spelled backwards, minus the “h” and “s,” because Black says the company takes the “horsesh*t” out of harnesses — produces 1,000 each month across two different factories and plans to increase production to 10,000 a month in 2027.
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Tech
Backed by $60M in funding, Oak steps out of stealth to fix the identity mess that AI agents are making worse
Physical badges used to be all you needed for identity management at a company. But with humans now working alongside machines and AI agents in digital environments, even the identity tools built for the cloud era are proving inadequate.
That’s the gap Israeli startup Oak is stepping out of stealth to fill, it says. Co-founded by serial entrepreneur Shai Morag, the company has been quietly building a unified control plane that governs identity across an organization, and is now emerging publicly with its product generally available and already deployed by enterprise clients, backed by $60 million in seed funding that it raised late last year.
The company didn’t disclose client names, but said its solution is already generally available and deployed by enterprise clients.
Outdated credentials and poor identity access management — or IAM, the systems that control who and what can access company data — are a common security vulnerability, one that AI is expected to make even easier for attackers to exploit. Oak also calls itself AI-native, positioning itself as a replacement for legacy tools that were already showing their limits but had no consolidated alternative.
According to Oak’s other co-founder, chief product officer Tal Marom, the startup spent months talking to 100 CISOs and IAM leaders before building its product: an AI connector framework that maps access to actual app usage and removes permissions that are no longer needed in real time, rather than only during periodic reviews.
“Right now, the whole process is too manual, and it’s operations-based, not risk-based — for instance, there’s no trigger when an employee logs in from an unusual location,” said Morag, a former army major who spent more than two decades in cybersecurity. During that time, he had three exits, including selling cyber startup Secdo to Palo Alto Networks in 2018.
This track record helped Oak raise what is a very big round by local standards, one that matches its plans to invest heavily in R&D and growth, Morag said. “Our vision is to be born as a giant,” he told TechCrunch.
Morag’s résumé already includes a stint at a giant organization. After public cyber company Tenable acquired his cloud identity and security startup Ermetic for $265 million in 2023, he stayed on as CPO. But after CEO Amit Yoran became ill and passed away, Morag left and told his wife he’d retire.
Instead of stepping back, though, Morag co-founded Oak with Marom, a product team lead he’d met at Tenable who’d previously held similar roles at Salesforce and in the Israeli military. While in stealth, the two also built a team of 50 people and are actively hiring, particularly in the U.S., where a majority of Oak’s staff will soon be based, Morag said.
Oak’s $60 million round was co-led by Accel, CRV, and Greylock Partners, with participation from AlphaDrive Ventures, Hetz Ventures, and angel investors. Morag told TechCrunch that VC interest was strong from the outset.
Accel partner Andrei Brasoveanu said Morag’s track record alone was a strong argument. Accel had led Ermetic’s Series A when it was pre-revenue; when Tenable acquired it, Accel gave Morag an informal standing offer to back whatever he built next, Brasoveanu said. “I knew he had it in him to build another company, but this time even bigger and even better.”
With AI as “a democratizing force,” Accel has been backing founders right out of high school, Brasoveanu said. But when it comes to identity management, experience still counts. “There’s complexity in the product, and there’s also complexity in the organizations you have to navigate to figure out how to sell something like this,” he said.
Both Brasoveanu and Morag expect Oak will face plenty of competitors trying to use AI as a catalyst for change in a space where vendor lock-in runs deep. That makes it critical for Oak to scale fast. Morag, who told his wife this will be his last company, says he won’t retire until he’s given it everything he’s got: “I will go big or go home.”
Pictured above, from right to left: Shai Morag and Tal Marom.
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Tech
Why Realta Fusion is building a fusion reactor at an old hot dog factory
Realta Fusion has spent the last two years looking for somewhere to build its research and development facility. In the end, it chose the old Oscar Mayer factory in Madison, Wisconsin.
“From sausages to fusion,” Kieran Furlong, co-founder and CEO of Realta Fusion, told TechCrunch with a chuckle. The new center, called Forge, will create its first plasma in 2029, he said. Realta recently showed that it could convert energy from fusion reactions directly into electricity, potentially easing the path to a commercial power plant.
The Oscar Mayer site’s ample power was attractive, as was its proximity to Realta’s existing headquarters in Madison. But what ultimately pushed the startup to stay was bipartisan support from the state’s government, including the governor and the legislature.
“Wisconsin really decided they want to throw their weight behind fusion,” Furlong said.
For the state, the timing could be fortuitous. Fusion power has been on an upswing as demand for electricity surges on the back of economy-wide electrification and proliferating AI data centers. This year alone, fusion power startups have raised over $1.5 billion.
Realta Fusion will receive an estimated $55 million in incentives from the state of Wisconsin and the city of Madison. The startup also has deep roots in the city, having been spun out of an experiment at the University of Wisconsin-Madison. And the university graduates a number of talented plasma physicists annually, providing a deep pool of talent. Shine, another fusion company, is located in a nearby suburb.
Realta’s decision to stay in Wisconsin is also surprising given that most fusion startups have located themselves near a national laboratory or on one of the coasts. Another Wisconsin-grown fusion startup, Type One Energy, decamped to Tennessee in 2024.
Since then, Wisconsin has embraced fusion power. Republicans and Democrats supported a sales tax exemption for the fusion industry, which was signed into law in April. That one measure alone will save Realta an estimated $37.5 million, a significant chunk of the total $55 million package. The state is kicking in another $15 million in enterprise zone tax credits, while the city of Madison has offered $2.8 million in tax increment financing.
While other states might have pitched similar amounts, Furlong said that there were other, intangible benefits to remaining in Wisconsin.
“It’s also advantageous to be the state champion,” he said. “We get the attention of people who matter, who can help us, who want to see Realta succeed and want to see Wisconsin be a major hub for fusion.”
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