Skan raises $63M Series C to map how employees actually work

What's the deal? Skan, a startup that builds a "context graph of work" by observing how employees perform their jobs across enterprise software, has raised $63 million in Series C funding. Cathay InnovationDealroom has a profile for this one. Try Dealroom → and Dell Technologies Capital co-led the round, with Citi VenturesDealroom has a profile for this one. Try Dealroom →, Bloomberg Beta, State Farm VenturesDealroom has a profile for this one. Try Dealroom →, and Wipro VenturesDealroom has a profile for this one. Try Dealroom → participating.

The seven-year-old company's total funding now stands at roughly $120 million. Alongside the raise, Skan launched two products — Skan AI Blueprint and Skan AI Agents — that join its existing Skan AI Intelligence offering to form a platform for discovering, modeling, and automating enterprise workflows.

Why now? The round lands amid deep frustration in enterprise AI. GartnerDealroom has a profile for this one. Try Dealroom → research cited by the company finds only 8% of enterprises have AI agents in production, and 95% of early implementations will require a complete redesign. That echoes a 2025 MIT report, covered by FortuneDealroom has a profile for this one. Try Dealroom →, which found roughly 95% of enterprise generative AI pilots failed to deliver measurable returns.

What's the endgame? Chief executive officer and co-founder Avinash Misra argues the industry has misdiagnosed the problem: the models are fine, but they lack an accurate picture of the businesses they are dropped into.

"Everyone is obsessed with building a better driver," Misra told VentureBeat. "We think the bigger opportunity is building a better navigation system." Skan's pitch is that watching real employee behaviour — rather than relying on official process documentation — gives AI agents the grounding they need to work.

The signal: At $63 million, this Series C sits in the top quartile of rounds — larger than roughly 78% of comparable raises. That signals investor conviction that the missing layer in enterprise AI is not smarter models but better data on how work actually gets done.

Read more: Red Hot

Image credit: Skan