venturebeat.com
Skan AI raises $63 million betting that watching how employees actually work is the missing layer of enterprise AI
Skan AI, a startup developing a "context graph of work," has secured $63 million in Series C funding, bringing its total to approximately $120 million. This funding round was co-led by Cathay Innovation and Dell Technologies Capital, with participation from other notable investors. The company simultaneously launched two new products, Skan AI Blueprint and Skan AI Agents, to complement its existing Skan AI Intelligence. These offerings aim to provide a comprehensive platform for discovering, modeling, and automating enterprise workflows. Skan's approach addresses the widespread failure of enterprise AI agents, which often stems from a disconnect between documented processes and actual employee activities. CEO Avinash Misra believes the industry's focus on improving AI models is misguided, advocating instead for better "navigation systems" that understand the business context. Skan collects data by observing employee interactions across various enterprise software, building a dynamic model of business processes. Unlike process mining tools that rely on backend system logs, Skan captures the "in-between" human actions that occur on employee screens. The company addresses privacy concerns by aggregating data to identify statistical patterns across many workers, rather than focusing on individual behavior. Skan claims to have delivered over $500 million in identified customer value, with specific deployments showing significant cost reductions and productivity gains. Their technology enables AI agents to execute workflows with remarkable accuracy, surpassing human performance in some cases. Skan's core innovation lies in abstracting and understanding the intent behind employee actions, not just recording them, allowing for dynamic AI models rather than simple playback.
