Startups Are Becoming the R&D Arms of US Tech Giants

Photo: TechCrunch

Article

Startups Are Becoming the R&D Arms of US Tech Giants

Three deals show large US technology companies buying or bankrolling startup talent and technology rather than building it in-house.

JaysuryaOctober 31, 20264 min read

The through-line in this week's startup coverage is not money for its own sake. It is that large US technology companies are increasingly treating startups as their research and development function, buying the company, hiring the founder, or handing a young engineer a mandate that once belonged to an internal lab. The deals differ in size and structure, but they point the same direction: startup capability is being absorbed into established balance sheets.

Buying the Capability Outright

Salesforce's reported $375 million deal for Rune, an AI logistics startup, is the clearest form of the pattern, as TechCrunch reported. The startup is not being funded to grow independently; it is being folded into Missionforce, the CRM giant's defense platform. For the startup ecosystem, that is a familiar exit, but it carries a specific signal. Rune's value is its AI logistics work applied to a defense context, and Salesforce has decided that acquiring that work is faster than building it. For US technology companies, the lesson is that adjacent capability in AI and logistics now commands a strategic price. For the market, it means another well-funded startup leaves the independent pool and becomes a feature of an incumbent platform.

The Founder as a Company Asset

The Cisco story, reported by Tom's Hardware, is a different transaction with the same logic. Cisco President Jeetu Patel has handed a 27-year-old former startup founder an unlimited supply of AI tokens and a mandate to rewrite 98 percent of the company's legacy code within 24 months, telling him to "go nuts." No acquisition price is disclosed because there is no acquisition. Cisco is importing the operating style of a startup founder and pointing it at a problem that large companies have historically solved slowly, through committees and contractors. The unlimited tokens detail matters: it treats AI compute as a budget line for a single engineer's judgment rather than a centrally rationed resource. For US technology companies watching their legacy code bases, this is a test of whether founder-style autonomy can substitute for internal process. It is also a reminder that the scarcest input is not the model but the person trusted to direct it.

Capital Follows the Same Instinct

Sebastian Thrun's Dulo, co-founded with Adrian Aoun, raised $130 million, as SiliconANGLE reported, citing The Information's breaking of the news and Aoun's confirmation on X. This is venture funding rather than an acquisition, but it fits the pattern from the other side. A prominent AI researcher and a founder who previously sold an early natural language processing company are assembling an AI engineering startup with a large check. That is the supply side of what Salesforce and Cisco are doing on the demand side: experienced operators building concentrated teams that can later be bought, partnered with, or hired away. For the US market, it shows investors still willing to concentrate capital behind a small number of proven founders rather than spread it across many early-stage teams.

Why Incumbents Are Choosing This Route

The common thread is speed and specificity. Salesforce needed AI logistics for a defense platform; Rune had it. Cisco needed legacy code rewritten; a young founder with AI tooling could attempt it on a two-year clock, per Tom's Hardware. Dulo is assembling AI engineering capability with $130 million behind it, per SiliconANGLE. In each case, the incumbent or the investor is buying a narrow, identifiable capability rather than a broad bet on a startup's independent future. That is rational when the technology is moving faster than internal roadmaps and when the cost of a missed cycle is high. It is also a structural shift: the startup sector is increasingly a supplier to large US technology companies rather than a parallel economy of future competitors.

What It Means for the US Startup Base

For founders, the pattern shortens the path to a meaningful exit but narrows the definition of success. A startup built to be absorbed by a Salesforce or to supply a founder to a Cisco may never test whether it can stand alone. For US consumers, the near-term effect is that new AI capability reaches large platforms faster, because incumbents are not waiting to build it. The longer-term effect is concentration: fewer independent players hold the technology, and the terms of access are set by the companies that bought it. For the US market, that is a trade-off between speed of deployment and breadth of competition, and the three stories above show the trade being made in the same direction each time.

What to Watch

The Rune deal is reported, not confirmed, so the first thing to watch is whether Salesforce formalizes it and how Missionforce absorbs the team, per TechCrunch's account. The Cisco experiment has a defined clock: 98 percent of legacy code within 24 months, as Tom's Hardware reported, which gives an unusually concrete way to judge whether founder autonomy plus unlimited AI tokens delivers. Dulo's $130 million, reported by SiliconANGLE, will be judged by what the team ships and whether it stays independent or becomes the next acquisition in this pattern. Across all three, the question for the startups beat is whether this becomes the default route for US technology companies to buy innovation rather than build it.

More on this beat: Companies on TechManNews.

#startups#acquisitions#AI#enterprise technology#venture funding#US tech

Newsletter

Get Tech News in Your Inbox

The latest AI, gadgets, software and startup stories from TechManNews, delivered every morning - free.