Ex-Tesla team's Atomic raises $12.5M to automate supply chains

Atomic came out of stealth last year with founders who said they’d use lessons from their time at Tesla to streamline inventory and improve customers’ bottom lines. The startup’s software decides how much inventory a company should hold and where, by simulating scenarios and then recommending — or, increasingly, automatically choosing — a response.

The approach traces back to the 2018 Model 3 production ramp at Tesla, when the automaker’s own spreadsheets couldn’t keep pace with how quickly planning needed to change, according to co-founders Michael Rossiter and Neal Suidan. In the year-plus since they began talking publicly about the work, the shift has become real for customers including DoorDash and HelloFresh, said Jon McNeill, a former Tesla president and founder of DVx Ventures, where Atomic was incubated. McNeill, who sits on Atomic’s board, said the company’s annual recurring revenue has quintupled since the beginning of this year.

That growth helped Boston-based Atomic close a $12.5 million Series A, led by growth equity firm Klass Capital and Seattle VC Madrona Venture Group. The startup also added longtime Tesla planning director Jeff Goodrich as CTO and third co-founder.

McNeill said Atomic’s product has moved from an optimization platform that offers recommendations to one that makes decisions outright — he said DoorDash now runs what he believes is 90% of its purchasing across hundreds of sites through the system. For food-focused customers like DoorDash, Atomic’s software helps cut down on waste and spoilage.

Rossiter described Atomic as a general model for reasoning about supply chains and operating models that can adapt across industries. The company is now working with consumer packaged goods, mobility, and manufacturing clients as it expands, he said.

Investor interest in the Series A centered on Atomic’s ability to adapt its agentic software across industries and deploy quickly with new customers, Rossiter said. McNeill said the board challenged the company to compress onboarding time, a task led by Suidan, Atomic’s chief product officer, who pushed the system to infer customers’ unwritten decision-making rules even when they hadn’t been written down.

Rossiter said he wants to help move supply chain planning out of spreadsheets and into software that can make decisions — something he’s seen CFOs embrace for their own organizations, but rarer in operations. “Finance data always gets the priority,” he said. “Operating data doesn’t always get that.”

Why it matters

Atomic’s shift from optimization suggestions to autonomous purchasing decisions is an early sign that agentic AI is starting to take over operational judgment calls once made by humans, not just analysis.