Skan AI, a process intelligence company, has raised $63 million in a Series C round to further develop its platform that records how enterprise work gets done and feeds that information to artificial intelligence agents. The company’s software sits on employee desktops, grabs screenshots, and processes them on the machine itself, without sending the images back to Skan AI’s analytics platform. Instead, anonymized metadata is sent back, including which applications were used, in what order, and where decisions were made.
Platform Overview
Skan AI’s platform is split into three products: Blueprint, Intelligence, and Agents. Blueprint maps how a process moves across systems and teams, while Intelligence pinpoints where time and money leak out of the process. The third product, Agents, deploys automation modeled on what a company’s top performers actually do.
In one deployment at a large U.S. bank, Skan AI tracked 11.2 million context switches across 1,500 finance staff and surfaced $37 million in operational friction. Agents built on those observations cut cost per transaction by 32% and lifted throughput by 41%, worth $18 million in annualized savings.
Revenue Growth and Customer Base
The company has seen revenue growth of more than 300% year-over-year, with net dollar retention averaging 150%. The platform has logged upward of 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.
U.K. facilities management group Mitie Group plc is among Skan AI’s customers. Chief Technology and Digital Officer Cijo Joseph credited Skan AI with giving Mitie “unprecedented operational visibility” that accelerated its AI rollout. Across its customer base, Skan AI puts average operational savings at 30% to 40% and cumulative measured customer value at more than $500 million.
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They address a significant challenge in enterprise operations: the lack of visibility into how work actually gets done. By providing a map of enterprise work, Skan AI enables companies to identify areas of inefficiency and optimize their processes, leading to significant cost savings and productivity gains.
Funding and Future Plans
The Series C round was co-led by Cathay Innovation and Dell Technologies Capital, with participation from Citi Ventures, Bloomberg Beta, State Farm Ventures, and Wipro Ventures. Dell Technologies Capital also led Skan’s $40 million Series B in March 2022. Skan AI plans to spend the money on product work and on selling harder into financial services, insurance, healthcare, and technology.
Cathay Innovation partner Simon Wu argued that enterprise work context is becoming an infrastructure layer for corporate AI, and said Skan AI is the only company he has seen building that context from direct observation rather than from documentation or system logs. Raman Khanna, managing director at Dell Technologies Capital, said enterprise leaders now face a mandate “to identify where AI can create measurable operational advantage.”
Skan AI’s total funding now stands at roughly $120 million since 2019. It will continue to develop its platform and expand its customer base, with a focus on delivering operational savings and measurable benefits to its customers.
The company is focused on growth.