Atomic has secured $12.5 million in a Series A funding round, bringing its total funding to just over $15 million, with Klass Capital and Madrona Venture Group leading the investment. Klass Capital and Madrona Venture Group led this funding boost. Atomic’s goal is to automate inventory management, enhancing efficiency and minimizing waste, leveraging the founders’ experience from their time at Tesla.
The company’s solution optimizes inventory levels and storage locations by simulating various scenarios. This approach emerged during the 2018 Model 3 production ramp at Tesla, where traditional planning methods struggled to keep pace with rapid production changes.
Since launching, Atomic has experienced remarkable growth, with its annual recurring revenue having quintupled since the beginning of this year. This surge has attracted notable clients, including major tech companies like DoorDash, which is running about 90% of its purchasing across hundreds of sites using Atomic’s platform. Jon McNeill, a former Tesla president and now a board member at Atomic, noted that moving from pilot customers to established clients like DoorDash marks a significant advancement for the company.
Atomic’s software not only provides recommendations but also makes autonomous decisions, streamlining operations for food-focused businesses by reducing waste and spoilage. CEO Rossiter emphasized that the AI can adapt its models for various industries, including consumer packaged goods, mobility, and manufacturing, staying true to their Tesla roots.
A key factor in Atomic’s success is its rapid onboarding process for new customers, which has been a priority for the team. McNeill pointed out that the ability to quickly integrate the AI system into a customer’s operations has been crucial for attracting investor interest. The AI can even deduce a customer’s decision-making rules, compressing their onboarding time and really making it a non-event for a customer to turn this on.
McNeill also shared insights on the competitive edge of decision speed, a principle he learned at Tesla. While Tesla can make decisions quickly, competitors like Ford or Toyota typically take around 30 days to reach their first decisions. This speed, he argues, compounds over time, providing a substantial advantage in business.
Rossiter expressed his enthusiasm to help pull customers’ supply chain efforts out of spreadsheets and into advanced software that can help make planning decisions. He noted a common trend where financial data takes precedence, while operational data often gets overlooked. Atomic aims to shift that focus, ensuring that supply chain management receives the innovative tools necessary to thrive in a fast-changing environment.
