
how does Crow work?
Crow lets small to mid-sized companies — even those with decentralized device management — model their AI Footprint. The Footprint summarizes how AI is actually being used inside the organization — including the impact of unapproved or unexpected "shadow AI" — by observing the information flowing in and out of the devices where Crow is installed. Crow works by:
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gathering small, non-identifiable samples of information-flow activity,
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comparing them to validated external benchmarks of normal traffic, and
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inferring the share of human and AI influence in each flow.
what makes Crow different?
Crow delivers better estimates from less data because it is NOT surveillance technology. The way an analyst reads a company against the market, Crow reads small validated samples against external benchmarks and projects indicators. That approach means Crow:
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delivers results in hours where traditional assessments take months,
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DOES NOT need to be deployed on every device in the organization, and
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produces actionable insight — not a black-box guess — that can drive profitable improvement.
