Ex-Tesla Team Secures $12.5 Million Series A to Automate Global Supply Chains
Supply chain startup Atomic has officially closed a $12.5 million Series A funding round, bringing its total capital raised to just north of $15 million. The Boston-based company, which emerged from stealth last year, aims to place corporate inventory management and operational planning on autopilot using artificial intelligence.
The latest funding round was led by growth equity firm Klass Capital alongside Seattle venture capital firm Madrona Venture Group. According to Jon McNeill—a former Tesla president and the founder of DVx Ventures, where Atomic was originally incubated—the startup’s annual recurring revenue has quintupled since the beginning of the year.
Atomic’s core software is designed to determine precise inventory levels and optimal storage locations by simulating various operational scenarios. The platform then recommends or autonomously executes purchasing decisions on behalf of its corporate clients. The underlying technology traces its roots back to a critical production period at Tesla in 2018, when co-founders Michael Rossiter and Neal Suidan experienced firsthand how quickly standard spreadsheets failed to keep pace with rapid manufacturing ramps.
In an exclusive interview, Atomic CEO Michael Rossiter explained the complexity that the startup’s software navigates. Operating models represent an infinite search space for optimization, requiring companies to evaluate countless potential decisions amid constant market fluctuations. By utilizing artificial intelligence, the platform identifies the most efficient operational pathways through these complex scenarios.
The startup has successfully transitioned from initial pilot programs to managing logistics for major enterprise clients. According to McNeill, who serves on Atomic’s board of directors, major tech-enabled platforms like DoorDash and HelloFresh now utilize the technology. DoorDash reportedly manages approximately 90% of its purchasing operations across hundreds of sites using the autonomous platform, which helps food-focused operations significantly reduce waste and spoilage.
Following the new funding injection, Atomic has also expanded its leadership team by bringing on longtime Tesla planning director Jeff Goodrich as its chief technology officer and third co-founder. The company is actively scaling its platform to adapt to diverse sectors, including consumer packaged goods, mobility, and manufacturing.
Investor interest was heavily driven by the startup’s ability to compress customer onboarding times. Chief product officer Neal Suidan successfully engineered the agentic AI to rapidly parse and identify implicit decision rules utilized by a client’s existing workforce—even rules that had never been formally documented in writing. This capability allows the system to seamlessly take over routine purchasing choices, freeing up time for human executives.
Rossiter emphasized that while corporate finance departments routinely prioritize advanced software and data analytics, operational data has historically lagged behind in technological adoption. By moving supply chain planning out of traditional spreadsheets and into autonomous software, Atomic seeks to provide businesses with a distinct competitive edge rooted in accelerated decision speed.
Source: TechCrunch Startups
