Corporate customers gain a new route to in-house AI when Vantora, the startup lab formerly known as UP.Labs, closes a $100 million investment and shifts to building physical AI ventures that partner firms can acquire. The funding from Silversmith Capital Partners is the company’s first outside capital and underwrites a strategy that prioritises proprietary projects for industrial and oil and gas clients.
Founder and CEO John Kuolt described the change as a move toward a "proprietary M&A pipeline." Under the model Vantora will continue to design startups for corporate partners, who invest in and become first customers. Those partners can now choose to fold the ventures into their core business rather than launching them broadly to the market.
Kuolt said the new approach lets the firm tackle commercially sensitive problems that were previously off-limits. "We were missing on the biggest value problems, which had the biggest upside because of that," he said. He gave a concrete example of the kind of work Vantora plans to pursue: retrofitting hardware and machines for autonomy is the kind of sovereign intelligence layer that large industrial companies will not permit to be sold to competitors. "They’re never going to let us go sell that to their competitors," Kuolt said.
Vantora traces its corporate work back to a launch that included Porsche as its first partner in 2022. Since then the firm has produced ventures for Porsche and struck commercial deals with Alaska Airlines, J.B. Hunt, Wabash, and TDG, the parent of Ashley Furniture. Kuolt said Vantora has also taken on new corporate customers in industrial manufacturing and in oil and gas, which the company declined to name.
The investment and strategic pivot underline a broader trend in corporate innovation, where clients seek proprietary autonomy over critical AI systems and are willing to back the ventures that build them. Vantora will continue to incubate and scale startups for partner customers, while prioritising those physical AI use cases that partners prefer to own. The next phase for the firm is executing on that pipeline and bringing sensitive, hardware-attached AI solutions into corporate balance sheets.
