Destro raises $8M seed round for its logistics AI layer

Destro, a robotics startup that came out of stealth on Tuesday with an $8 million seed round, is betting that the best way to deploy a robot isn’t to build one at all. Rather than developing its own robot hardware or AI models for manipulation, the company has built an AI intelligence layer that lets robots work effectively in logistics settings — partly by also telling human workers what to do.

“One of the biggest reasons we are winning against robotics companies is because we are not a robotics company,” founder Manthan Pawar told TechCrunch. Pawar, who has a master’s degree in robotics from NYU Tandon and has spent roughly eight years in the U.S. supply chain and robotics industry, said Destro is on track to be cash-flow positive by the end of this year.

The company’s approach was shaped by Richard Brunelle, director of automation for the American logistics group at Yusen Logistics, a South Korean shipping giant, who oversees automation across about 30 U.S. facilities. Yusen already relies on fixed automation like conveyors and sorters and is piloting trailer-unloading robots and autonomous floor scrubbers; its UK subsidiary has built a fully autonomous facility, and a similar plan is now underway for the U.S. Brunelle asked Destro, which was originally focused on picking and packing, to adapt its tool for cross-docking — unloading goods from one truck and sorting them into mixed loads for other trucks. Destro agreed no one else was addressing that problem and went all in.

The pilot began at one Yusen facility in the Pacific Northwest with three cart-moving robots built by Miva Robotics, operated by Destro’s Vision system, which runs on open-weight vision-language-action models. Destro is now expanding that pilot to a full deployment of 26 robots and launching another pilot with 17 robots at a Yusen facility in Southern California. Yusen had also evaluated two other robotics startups, but neither could handle both loading and orchestration the way Destro’s system does.

Base10 Partners and Bonfire Ventures led Destro’s seed round, with additional investment from CoFound Partners. Pawar plans to replicate the cross-dock workflow across thousands of other warehouses, though the company may face a challenge extending beyond tasks like cart-moving: generic robot bodies and open-source models have not yet proven capable at workflows requiring more dexterity, and it’s unclear whether makers of foundation models or humanoid robots will make their tools available to a company like Destro rather than compete directly.

Why it matters

Destro’s bet suggests some investors see more near-term value in software that orchestrates existing robots and human workers than in building new robot hardware — a distinction that could shape which warehouse-automation startups scale fastest.