Vantora raises $100M for proprietary physical AI
Startup incubator Vantora has raised $100 million to build bespoke physical AI ventures that corporate partners can acquire directly, keeping proprietary automation tech away from competitors.

Vantora, the startup incubator formerly known as UP.Labs, has secured $100 million in its first outside investment round from Silversmith Capital Partners. Alongside the funding, the firm is pivoting its business model to focus heavily on physical artificial intelligence. Instead of building startups for the open market, Vantora will now design proprietary ventures exclusively for its corporate clients, who have the option to fully absorb these new entities into their own operations.
This shift to what founder and CEO John Kuolt calls a "proprietary M&A pipeline" allows Vantora to tackle highly sensitive industrial problems that corporate partners previously refused to commercialize publicly. Kuolt noted that large enterprises retrofitting hardware for autonomy require sovereign control over their intelligence layers. By guaranteeing that these technologies will not be sold to competitors, Vantora can now develop physical AI solutions for heavy industries, manufacturing, and logistics.
Since its launch in 2022, the firm has built startups for major corporate partners, beginning with Porsche. Its client roster has since expanded to include Alaska Airlines, J.B. Hunt, Wabash, and TDG, the parent company of Ashley Furniture. While Vantora was originally associated with the venture firm Up.Partners and still shares office space with them in California, it remains a financially independent entity.
For AI practitioners and enterprise developers, Vantora's model represents a new pathway for deploying physical AI in highly competitive sectors. Instead of relying on generic third-party platforms, enterprises can secure custom-built, proprietary AI systems tailored to their specific physical infrastructure. This approach addresses the critical corporate need for data sovereignty and exclusive technological advantages in the rapidly evolving automation landscape.
This is our own summary of reporting by TechCrunch AI



