Former Tesla Planning Team Raises $12.5M to Automate Inventory Choices

Boston Startup Says Its Software Now Drives Purchasing for Major Food and Logistics Customers After Rapid Revenue Growth

Atomic, a Boston-based supply chain startup founded by ex-Tesla planners, closed a $12.5 million Series A round as it pushes software that automates inventory decisions into full production at large customers. The financing was led by Klass Capital and Madrona Venture Group and lifts Atomic’s total backing to just over $15 million. Company executives say the product is already handling buying at scale for firms such as DoorDash and HelloFresh.

The company’s platform models many potential future scenarios to determine how much stock to hold and where, then either suggests actions to staff or executes them automatically. For perishable-food customers, that translates into less spoilage and lower waste. Atomic says some clients now let the system manage roughly nine-tenths of purchasing across hundreds of locations.

Investors and company insiders point to fast commercial traction. Atomic’s yearly recurring revenue has grown fivefold since the start of the calendar year, according to Jon McNeill, a former Tesla president who helped incubate the company at DVx Ventures and sits on its board. The startup moved quickly from pilot projects to full deployments, a shift McNeill credits to streamlining onboarding and making the software plug-and-play for operations teams.

The product traces back to a crisis-era tool developed during the 2018 Model 3 production surge at Tesla, when manual spreadsheets could not keep pace with rapid changes in supply and planning. Founders Michael Rossiter and Neal Suidan have since formalized that approach into a general-purpose decision engine and recently added longtime Tesla planning director Jeff Goodrich as chief technology officer and co-founder.

A central engineering challenge was teaching the system the informal rules human planners use. Suidan, now chief product officer, led efforts to have the autonomous engine infer those decision patterns so it could act where appropriate. That capability convinced some customers to cede control: executives told Atomic they preferred freeing their teams from repetitive choices and focusing on strategy instead.

Analysts say the product’s appeal comes from decision speed and scale. A supply-chain consultant not affiliated with the company noted that faster, repeatable choices can compound operational gains over time, particularly for companies with many distribution points. Atomic is expanding beyond food into consumer packaged goods, mobility and manufacturing sectors, aiming to bring operations data the same priority finance departments usually receive.