Destro emerged from stealth on Tuesday and announced an $8 million seed round. The startup argues that the most effective way to deploy robotics in logistics is often not to build a new robot, but to deliver an AI intelligence layer that coordinates robots, human workers and vehicles.
While many robotics companies focus on form factors or building AI models that give mechanical hands more capability, Destro has developed a control system that directs robots and people in warehouse workflows and issues instructions to human workers when needed.
Founding team, background and business approach
The company was founded by Manthan Pawar, who earned a master’s degree in robotics from NYU Tandon and has roughly eight years of experience in the U.S. supply chain and robotics sector. Pawar says Destro knows its customers’ problems well and expects to be cash-flow positive by the end of this year.
Destro positions itself less as a robot manufacturer and more as a software "harness" layered on top of robot platforms and AI models. The company argues that this harness delivers significant operational value and enables workflows that standalone robot bodies or foundation models do not solve by themselves.
Pilot and partnership with Yusen Logistics
Richard Brunelle, director of automation for the American logistics group at Yusen Logistics, who oversees automation across about 30 U.S. facilities, helped steer Destro’s product direction. Yusen uses fixed automation like conveyors and sorters but also pilots newer technologies such as trailer-unloading robots and autonomous floor scrubbers.
Brunelle’s main operational challenge is cross-docking: unloading goods from one truck and sorting them into mixed loads for other trucks that make final deliveries. When he met Pawar, Destro had been working on picking and packing; Brunelle asked whether their system could be adapted for the cross-dock environment. The startup accepted the challenge and focused on modifying its tools to support that use case.
Destro began a pilot at a Pacific Northwest Yusen facility using three cart-moving robots built by Miva Robotics and operated via Destro’s Vision operating system. Vision is based on open-weight vision-language-action models—AI systems that interpret camera images and instructions to control robot movement.
As human workers unload goods into different carts, the robots find full loads and transport them to their destinations. According to Brunelle and Pawar, the efficiency gain comes from Destro’s Mothership operating system, which coordinates the human, the carts and the trucks; the software replaces paper-based processes and centralizes orchestration.
Why Destro won the contract
Yusen considered two other well-known robot startups but found neither fit their workflow. One offered a robot that could move carts point-to-point but could not handle loading or unloading; the other provided fleet-management tools but required a person to do all orchestration. Destro won because it could apply autonomous direction across the entire process.
Following the initial three-robot pilot, Destro is expanding to a full deployment of 26 robots at one site and launching another pilot with 17 robots at a Southern California facility. Pawar plans to replicate this cross-dock loading workflow across thousands of similar warehouses.
Funding and potential limitations
Destro’s seed round was led by Base10 Partners and Bonfire Ventures, with additional investment from CoFound Partners. Investors were convinced by the idea that software orchestration can provide faster returns and scalability than developing new robot hardware.
However, Destro may face limits on workflows that require high dexterity and manipulation. Generic robot bodies and open models have not yet proven capable for all such tasks, and it remains unclear whether companies developing foundation models, highly dexterous hands, or general-purpose humanoids will make those components available to third-party orchestrators like Destro rather than keeping the business for themselves.
Pawar, however, is confident the layer his company builds will capture value and that Destro can leverage research dollars flowing into new AI models and robotic components. He describes robots and models as platforms and says the harness they build around them is complex and highly value-added — without it, certain workflows would be impossible.
Practical perspective and next steps
Brunelle says he has yet to find a strong use case for bipedal humanoid robots, though he is evaluating a possible pilot with a wheeled humanoid. Yusen’s criterion for automation deployment is pragmatic: technology must solve a real operational problem and increase efficiency, consistency and flexibility to benefit customers.
Destro plans to showcase its "non-robot robot company" approach at TechCrunch Disrupt in a few weeks.
Key facts
- Seed funding: $8 million
- Founder: Manthan Pawar (NYU Tandon background, ~8 years experience)
- Partner/customer: Yusen Logistics (Richard Brunelle)
- Initial pilot: 3 Miva Robotics cart-moving robots, Vision OS and Mothership coordination
- Expansion: full deployment of 26 robots at one site; new 17-robot pilot in Southern California
- Investors: Base10 Partners, Bonfire Ventures, CoFound Partners
Destro’s approach emphasizes that software orchestration and coordinated human-robot workflows can be more practical and scalable for logistics automation than building new robot hardware alone.
