Doss, a startup focused on AI-driven inventory management, has raised $55 million in a Series B funding round co-led by Madrona and Premji Invest, with participation from Intuit Ventures, General Catalyst, Theory Ventures, Contrary Capital, and Greyhound Capital.
The company is positioning itself as an AI-native inventory management layer that integrates seamlessly with existing enterprise resource planning (ERP) and accounting systems, rather than replacing them. Its platform is designed to address a key gap in both traditional and newer AI-based ERP solutions—ensuring that data related to physical goods remains aligned with financial records.
Founded in 2022, Doss initially focused on building a core accounting product but later shifted its strategy to specialize in inventory and supply chain management. CEO Wiley Jones explained the pivot, stating, “We would rather partner with them, and play a different game,” highlighting the company’s approach of complementing, rather than competing with, emerging AI ERP platforms.
Doss works alongside platforms such as Rillet and Campfire, while also integrating with widely used tools like QuickBooks. The platform focuses on improving supply chain traceability and operational efficiency by connecting inventory workflows directly with finance systems.
The startup primarily serves mid-market consumer brands generating between $20 million and $250 million in revenue, including clients like Verve Coffee Roasters. These businesses often struggle with outdated or rigid ERP systems that are expensive and time-consuming to implement, creating demand for more flexible, AI-enabled solutions.
Doss enters a competitive and evolving ERP landscape where both legacy providers and AI-native startups are racing to modernize enterprise software. According to Jones, “I think it’s going to be a very intense fight inside of mid-market that ultimately will be determined by whoever rebuilds their architecture to be most legible and usable for agents.”
With this funding, the company aims to expand its AI capabilities, deepen integrations, and strengthen its position as a critical infrastructure layer for inventory and supply chain management in the age of AI-driven enterprise systems.
