Skan AI raises $63M to give AI agents a map of enterprise work

Skan AI has closed a $63 million Series C as it keeps pushing a blunt idea: before you automate enterprise work, you should know what the work actually looks like. The company’s software runs on employee desktops, takes screenshots, processes them on the device, and sends back only anonymized metadata. The images stay put. What reaches its analytics system is a record of which apps were used, in what order, and where decisions happened.

That feeds three parts of the platform. Blueprint maps how a process moves across systems and teams. Intelligence looks for the places where time and money leak away. Agents then uses those observations to automate work in the style of a company’s best performers. Skan says that setup matters because so much enterprise work is still understood through documentation, system logs, or guesswork.

The company has some numbers to back the pitch. In one deployment at a large U.S. bank, it tracked 11.2 million context switches across 1,500 finance staff and says it found $37 million in operational friction. Agents built from that analysis cut cost per transaction by 32% and raised throughput by 41%, which Skan says translated into $18 million in annualized savings. Across its customer base, the company puts average operational savings at 30% to 40% and cumulative measured customer value at more than $500 million.

Growth has been fast too. Skan says revenue is up more than 300% year over year, with net dollar retention averaging 150%, and the platform has logged more than 25 billion work signals. Customers include a quarter of the Fortune 50, seven of the 10 largest U.S. banks and three of the five largest U.S. insurers, plus U.K. facilities manager Mitie Group plc. The round was co-led by Cathay Innovation and Dell Technologies Capital, with Citi Ventures, Bloomberg Beta, State Farm Ventures and Wipro Ventures joining in. Skan plans to use the money on product work and on selling harder into financial services, insurance, healthcare and technology.