Skan AI Secures $63M to Train Agents by Watching Employees Work

Skan AI raises $63 million to build enterprise bots by observing employee screen activity. The Series C round brings total funding to roughly $120 million following consecutive years of 300% revenue growth. The desktop observation software monitors how humans actually move between spreadsheets and legacy mainframes to train agents. At one major U.S. bank, the system tracked 11.2 million context switches and cut per-transaction costs by 32%. "Everyone is obsessed with building a better driver. We think the bigger opportunity is building a better navigation system." — Avinash Misra Watching workers grind through broken internal tools isn't about performance reviews anymore; it's just raw training data for the bots that will eventually run those processes.