Skan AI Secures $63M to Give Enterprise AI the Context It’s Missing: How Work Actually Gets Done
aiinsider ·
Skan AI, a company that builds a 'context graph of work' for enterprise AI, announced $63 million in funding co-led by Cathay Innovation and Dell Technologies Capital, with participation from Citi Ventures, Bloomberg Beta, State Farm Ventures, and Wipro Ventures. The funding coincided with the launch of its enterprise AI platform, which includes Skan AI Blueprint and Skan AI Agents alongside the existing Skan AI Intelligence product. The company reports over 300 percent year-over-year growth, more than 25 billion work signals processed, and counts seven of the ten largest US banks and a quarter of the Fortune 50 among its customers. Skan AI's technology observes how work actually happens across systems and turns those observations into context for AI agents, aiming to address the gap where most enterprise AI implementations fail due to lack of true operational context. At a top US bank, Skan AI identified $37 million in operational friction, reduced cost per transaction by 32 percent, increased throughput by 41 percent, and delivered $18 million in annualized savings. The company says it has delivered more than $500 million in cumulative customer value to date, with average operational savings of 30 to 40 percent. Skan AI is powered by NVIDIA AI Enterprise and NVIDIA NIM microservices, and it has also partnered with the University of Missouri for research at the intersection of AI, enterprise systems, and human work.
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