Ex-Tesla founders raise $12.5M Series A for AI supply chain startup Atomic
Atomic’s agentic AI now runs about 90% of DoorDash’s purchasing across hundreds of sites, while helping food companies cut waste and spoilage. The Tesla alumni-founded startup raised $12.5M, taking total funding past $15M.
Boston-based supply chain startup Atomic has closed a $12.5 million Series A funding round, bringing its total funding to just over $15 million. The round was announced in September 2026 and was led by growth equity firm Klass Capital and Seattle-based Madrona Venture Group.
Atomic’s software uses agentic AI to determine how much inventory a company should hold and where, simulating scenarios and either recommending or automatically executing responses. The company counts DoorDash and HelloFresh among its customers — with DoorDash running approximately 90% of its purchasing across hundreds of sites through Atomic’s platform. For food-focused clients, the software helps reduce waste and spoilage.
The startup was founded by Michael Rossiter, who serves as CEO, and Neal Suidan, who serves as chief product officer. The two built an early version of the system while at Tesla during the 2018 Model 3 production ramp, when the automaker’s spreadsheet-based planning couldn’t keep pace with rapid changes. Atomic was incubated at DVx Ventures, founded by Jon McNeill, a former Tesla president who also sits on Atomic’s board. The company has also added Jeff Goodrich, a longtime Tesla planning director, as CTO and third co-founder.
Atomic’s annual recurring revenue has quintupled since the start of 2026, according to McNeill. He attributed part of that growth to the platform’s evolution from a recommendation tool into one that makes decisions autonomously, and to a compressed customer onboarding process developed by Suidan.
“AI can play the role of finding all of the best paths through that forest,” Rossiter said, describing supply chain optimization as an effectively infinite search space that changes constantly.
Atomic currently works with customers in consumer packaged goods, mobility, and manufacturing, in addition to its food-sector clients. Rossiter said the platform is designed as a general model adaptable across industries, which he indicated was a key factor in attracting Series A investor interest.