Watchman AI was founded this year to build the world’s first AI‑native B2B demand inference stack to power GTM teams, agentic applications, and signal platforms to capture invisible buyers with high precision, deliver actionable demand intelligence with predictive certainty, and unlock hidden revenue for companies. 

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The average public SaaS company now waits nearly five years to earn back its customer‑acquisition costs, and the same is true for most B2B companies. More than 70% of B2B demand intelligence hides in the shadows – anonymous research behaviors and untracked engagements like stealth web traffic that require a far sharper lens and stronger inference capabilities than legacy platforms provide. Watchman brings deep‑science precision to a space crowded with half‑baked tools and bloated suites that excel at hoarding data and signals, but fail to deliver high‑precision dark‑funnel buyer capture and predictive demand intelligence. 

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Watchman is first experimenting with and debuting an agentic application that transforms stealth web traffic into endless streams of qualified accounts and person‑level leads. This agent identifies, researches, and qualifies anonymous visitors, then syncs those enriched leads into your existing tech stack and workflows – turning millions of anonymous prospects into an endless qualified pipeline in real time.

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The founding team includes PhDs with backgrounds in astrophysics, engineering, and machine learning, educated at Imperial College London, Warwick, UMass, and Princeton.

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This is only the starting point. The team is rapidly expanding Watchman’s B2B demand‑inference capabilities to power GTM teams and agentic applications as well as upstream signal vendors and platforms, break through hidden buyer intelligence barriers, significantly shorten CAC payback time, and unlock hidden revenue for companies.