Boston-based supply chain startup Atomic has raised a $12.5 million Series A led by Klass Capital and Madrona Venture Group, bringing its total funding to just north of $15 million. The company, which emerged from stealth last year, builds agentic software that simulates inventory scenarios and recommends—or automatically executes—supply chain decisions. Atomic's annual recurring revenue has quintupled since the beginning of this year, according to board member Jon McNeill.
The founding team traces its approach to the 2018 Tesla Model 3 production ramp, when spreadsheets could not keep pace with planning changes. CEO Michael Rossiter and Chief Product Officer Neal Suidan have since added longtime Tesla planning director Jeff Goodrich as CTO and third co-founder. McNeill, a former Tesla president and founder of DVx Ventures where Atomic was incubated, said the product has evolved from giving recommendations to making decisions autonomously. He noted DoorDash is running roughly 90% of its purchasing across hundreds of sites on the platform.
The shift from pilot customers to large-scale deployments signals that agentic supply chain software is moving beyond optimization dashboards. For food-focused customers like DoorDash, Atomic helps reduce waste and spoilage. Rossiter said the company is also working with consumer packaged goods, mobility, and manufacturing clients. McNeill framed the value in terms of decision speed, citing a Tesla principle that faster decisions compound into competitive advantage. Atomic's ability to compress onboarding time and infer unwritten decision rules from customer staff was a key factor in attracting Series A interest.
What remains unclear is how Atomic's general model performs across industries with different regulatory, perishability, and logistics constraints. The dossier does not disclose valuation, revenue figures beyond the quintupling claim, or the specific terms of the Series A. It also does not detail how Atomic handles exceptions, supplier disruptions, or human oversight when the software makes autonomous purchasing decisions at scale.