
Mapped turns any building's systems, sensors, and devices into a structured, real-time world model — the data foundation AI agents and applications need to understand and act on the physical world.
Mapped Inc. has raised $25.5M in total funding. The most recent round was Series B.
Mapped Inc. is headquartered in El Segundo, CA.
Mapped turns any building's systems, sensors, and devices into a structured, real-time world model — the data foundation AI agents and applications need to understand and act on the physical world.
Physical AI systems need a structured, real-time model of a building's systems and sensors, but that data is fragmented across modern and legacy, cloud and on-prem sources.
Mapped connects to a building's systems and sensors, then uses AI/ML to organize, classify, and enrich that data into a structured 'world model' that flows into dashboards, automation tools, apps, or AI agents.
They claim to be '10x faster than traditional integration' (days instead of months), require no site visit, support open ontologies like BRICK and Haystack or a custom one, and cite scale figures of $500B+ in connected assets across 400M+ sq ft and 200+ integrations.
Mapped was founded by Shaun Cooley and has raised roughly $42.8M, with early backing from Allegion Ventures and MetaProp.
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