Skan AI raised $63 million in Series C funding co-led by Cathay Innovation and Dell Technologies Capital to expand its desktop-observation platform. The startup addresses high failure rates in enterprise AI agents, which Gartner research indicates affect 95% of early implementations. Skan AI's technology maps workflows by tracking screen activity locally to protect privacy. The company reports over 300% year-over-year revenue growth and serves clients like Mitie and Unum.
Skan AI Series C funding
- ▪Skan AI plans to use its Series C funding for product development and to expand sales in financial services, insurance, healthcare, and technology.
- ▪Skan AI's Series C funding round included participation from Citi Ventures, Bloomberg Beta, State Farm Ventures, and Wipro Ventures, bringing Skan AI's total funding to approximately $120 million.
- ▪Skan AI raised $63 million in a Series C funding round co-led by Cathay Innovation and Dell Technologies Capital on August 12, 2026.
Enterprise AI agent failures
- ▪Gartner research cited by Skan AI in August 2026 indicates that only 8% of enterprises have AI agents in production, and 95% of early implementations will require a complete redesign.
- ▪Skan AI CEO Avinash Misra argues that enterprise AI agents fail because they rely on official process documentation and system logs, which do not reflect how work actually occurs.
Desktop observation technology
- ▪Skan AI deploys observation technology on employee desktops that captures screenshots and processes them locally on the machine to protect privacy.
- ▪Skan AI transmits only anonymized, abstracted metadata to its analytics platform, swapping employee identifiers for tokens and excluding personal messages and passwords.
Workflow mapping capabilities
- ▪Skan AI announced the general availability of Skan AI Blueprint and Skan AI Agents on August 12, 2026, to form a platform for discovering, modeling, and automating workflows.
- ▪Skan AI's platform abstracts screen-level observations into a context model of business processes, treating process steps, screen features, and handoffs as a language.
Customer deployment results
- ▪Skan AI tracked 11.2 million context switches across 1,500 finance professionals at a major U.S. bank, uncovering $37 million in operational friction.
- ▪Skan AI's publicly referenceable customers include employee benefits provider Unum and U.K. facilities management company Mitie.
Operational savings metrics
- ▪Skan AI claims its platform has delivered more than $500 million in cumulative customer value to date, representing identified expected savings.
- ▪Skan AI reported year-over-year revenue growth of over 300% for two consecutive years, with net dollar retention averaging 150%.
- ▪Skan AI claims that deploying its agents at a major U.S. bank cut transaction costs by 32%, increased throughput by 41%, and yielded $18 million in annualized savings.
Story comments
Loading comments…