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  • Skan AI Raises $63M to Give Enterprise AI the Context of How Work Actually Gets Done
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Skan AI Raises $63M to Give Enterprise AI the Context of How Work Actually Gets Done


Skan AI Raises $63M to Give Enterprise AI the Context of How Work Actually Gets Done
  • by: PR Newswire
  • |
  • August 17, 2026

Skan AI has 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 comes alongside the launch of Skan AI's enterprise AI platform including Skan AI Blueprint and Skan AI Agents.

Quick Intel

  • Skan AI raises $63M co-led by Cathay Innovation and Dell Technologies Capital.

  • Trusted by a quarter of the Fortune 50 and 7 of the top 10 U.S. banks.

  • Processed over 25 billion work signals with 300%+ year-over-year growth.

  • Products: Skan AI Blueprint (discovery), Intelligence (management), and Agents (execution).

  • Delivered $500M+ in cumulative customer value with 30-40% average savings.

  • Powered by NVIDIA AI Enterprise and NVIDIA NIM microservices.

Context Graph for Enterprise AI

Enterprises have adopted agentic AI fast, but few are turning it into scalable value. Skan AI fixes the source data problem at the source, delivering more than $500 million in measured uplift by grounding agents in how work actually gets done. Skan AI Blueprint discovers and prioritizes AI opportunities across every system people use, including legacy environments and regulated workflows. Skan AI Intelligence gives leaders everything they need to manage workflows at scale: process benchmarking, workforce management, and identification of technology and automation opportunities. Skan AI Agents executes autonomously against the customer's work context, built from thousands of observed real cases.

Customer Impact

At a top U.S. bank, Skan AI observed 11.2 million context switches and multiple variations across 1,500 finance professionals, uncovered $37 million in operational friction. The company turned those observations into context that agents could execute against, reducing cost per transaction by 32 percent, increasing throughput by 41 percent, and delivering $18 million in annualized savings. What began as 11.2 million observations of human work became the context for AI to perform that work.

"Everyone is obsessed with building a better car. We think the bigger opportunity is building a better navigation system," said Avinash Misra, Co-founder and CEO, Skan AI.

"Enterprise work context is becoming the foundational infrastructure layer for enterprise AI, the same way CRM became the system of record for customer relationships. Skan AI is the only company we have seen that builds that context from direct observation of work itself and carries it all the way through to agents running in production. With a fourth of the Fortune 50 already running on Skan AI, we believe this is one of the defining platform companies of the next decade," said Simon Wu, Partner, Cathay Innovation.

About Skan AI

Skan AI is the context graph of work for enterprise AI: a continuously evolving record of how work actually happens across every system, application, and exception. Skan observes billions of real work signals and distills them into the execution logic AI needs. Skan AI has cleared information security review at leading Fortune 50 banks, insurance carriers, and healthcare organizations. Trusted by 1/4th of the Fortune 50 and 7 of the top 10 banks, Skan AI delivers average operational savings of 30 to 40 percent and more than $500 million in cumulative customer value to date.

  • Enterprise AIAgentic AIAI Transformation
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