RPA & Intelligent AutomationStartupCV Task Mining
Skan AI
Computer-vision process intelligence that maps how work actually happens across teams and systems — connector-free task mining positioned as the business-context foundation for agentic automation; used by 7 of the top 10 US banks
Mkt Cap / ValPrivate
RevenueEst. $22M ARR
Growth+20% YoY
May 2026: Gartner MQ Process Intelligence honorable mention; Agentic Business Context Foundation launched
Connector-free computer-vision capture yields ground-truth process data log-based miners like Celonis cannot see.
SWOT Analysis
Strengths
- Connector-free computer-vision capture — sees work in any app, including legacy and Citrix
- Deep enterprise traction: 7 of the top 10 US banks and 1 in 4 Fortune 50 use Skan
- Gartner MQ Process Intelligence honorable mention (2026) validates pure-play position
- Documented nine-figure savings cases across banking, insurance, and healthcare
- Early mover on agent context — Agentic Ontology of Work and ABCF frameworks
Opportunities
- AI agent mining — the context layer enterprises need before deploying agents
- Task-mining spend rising as agentic programs expose missing process ground truth
- Vertical expansion beyond banking into healthcare ops and insurance at scale
- Dell Technologies Capital relationship opens infrastructure go-to-market channels
Weaknesses
- At ~$22M ARR, far smaller than Celonis — thinner ecosystem and partner bench
- Endpoint screen capture raises employee-privacy concerns that demand governance
- Brand recognition concentrated in North American financial services
- Growth (~20% YoY) trails category leaders despite the agentic narrative
Threats
- Celonis, UiPath, and Microsoft bundle task mining into platforms at low marginal cost
- Agent platforms may build their own telemetry, bypassing standalone process intel
- Screen-capture regulation or EU works-council pushback could slow expansion
- Process intelligence consolidation invites acquisition or pricing pressure
User Sentiment
Synthesized from G2, Gartner Peer Insights, and analyst review data.
What users love
- Fast time-to-insight — no system integrations needed before first process maps
- Accurate variant discovery across apps that log-based miners cannot see
- Executive-friendly ROI framing — savings quantified per process
- Works across Citrix and virtual desktops where competitors struggle
Common complaints
- Endpoint agent rollout requires security review and change management effort
- Dashboards take training to master; analyst support often needed early on
- Pricing is opaque and quote-only, complicating budget planning
Customer Profile
Who buys this
Typical segments
Fortune 500 EnterpriseLarge Financial Services
Typical buyer
VP Intelligent Automation / Transformation Office
Top use cases
- 1Automation discovery and ROI sizing
- 2Agent-readiness process context
- 3Compliance and SOP conformance checking
Future Focus Areas
1
AI agent mining and agent-readiness assessment
2
Agentic Ontology of Work standardization
3
Real-time agent-vs-human workflow monitoring
4
Expansion from task mining into full process intelligence