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We've raised $63M to give enterprise AI the context it's been missing.
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Skan AI for the C-suite

The operational intelligence behind enterprise AI

Top US Banks

7 in 10

Fortune 50

1 in 4

Top US Insurers

3 in 5
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Turn AI strategy into measurable value

Identify the opportunities that drive the biggest business impact before you commit budgets.

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Move faster with less risk

Build transformation plans on evidence, with enterprise-grade security and privacy built in.

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Prove ROI to the board

Track productivity, cost reduction, adoption, and business outcomes against every investment.

The AI platform your board can trust

Identify the highest-value
AI opportunities

Identify the highest-value AI opportunities
  • Assess AI opportunities by value and feasibility
  • Prioritize investments based on business impact
  • Build a roadmap with measurable ROI

Improve operations with insights grounded in reality

Understand how work flows across the enterprise

Understand how work flows across your enterprise

Identify bottlenecks, variability and inefficiencies

Identify bottlenecks, variability and inefficiencies

Create a shared view of operational performance

Create a shared view of operational performance

Deploy AI agents
grounded in real work

Deploy AI agents
  • Give agents the operational context to perform reliably
  • Maintain visibility and governance at scale
  • Measure business outcomes from every initiative

Security without compromise

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Frequently asked questions

Enterprise AI initiatives struggle to deliver ROI because organizations invest before understanding where value exists across the enterprise. Without operational context, it becomes difficult to prioritize opportunities, measure outcomes, and scale successful initiatives.

Executive teams make better AI investment decisions by grounding them in evidence rather than assumptions. Understanding how teams operate, where effort is spent, and which workflows create the greatest business impact helps leaders prioritize investments more effectively.

Yes. Operational data helps organizations identify where AI can create value, which activities are suited to automation, and how opportunities should be sequenced into a practical transformation roadmap.

Measure AI business impact through productivity gains, cost reduction, adoption rates, cycle-time improvements, and other operational outcomes tied to business performance.