Mapped
Mapped is an AI-powered independent data layer for commercial and industrial spaces, targeting property owners, facility operators, and solution providers. It automates the discovery, extraction, and normalization of real-time data from building systems, sensors, devices, and vendor APIs, abstracting integration complexities through machine learning and an open-source data model (brickschema.org). Their intelligent edge software connects to diverse data sources, maps data into industry-standard ontologies like BRICK, Haystack, and REC, and provides access via a knowledge graph with a GraphQL API, webhooks, and destination connectors. Customers across retail, warehouses, hospitals, airports, stadiums, campuses, and offices use Mapped to manage their data pipeline, enabling developers to focus on application development and outcomes. Mapped offers a unified API for all data, simplifying integrations and allowing applications to be deployed across any Mapped-enabled building.
Mapped
Mapped is an AI-powered independent data layer for commercial and industrial spaces, targeting property owners, facility operators, and solution providers. It automates the discovery, extraction, and normalization of real-time data from building systems, sensors, devices, and vendor APIs, abstracting integration complexities through machine learning and an open-source data model (brickschema.org). Their intelligent edge software connects to diverse data sources, maps data into industry-standard ontologies like BRICK, Haystack, and REC, and provides access via a knowledge graph with a GraphQL API, webhooks, and destination connectors. Customers across retail, warehouses, hospitals, airports, stadiums, campuses, and offices use Mapped to manage their data pipeline, enabling developers to focus on application development and outcomes. Mapped offers a unified API for all data, simplifying integrations and allowing applications to be deployed across any Mapped-enabled building.
TL;DR
Elevator: AI-powered unified data layer that discovers, extracts, normalizes and serves building systems and sensor data via a standardized API
Customers / scale: Claims 1,000+ sites across 250M+ sq. ft. and 100M++ normalized data points processed
Integrations: 150+ integrations and support for industry ontologies (BRICK, Haystack, REC)
Founding / HQ: Founded July 2019; founder & CEO Shaun Cooley; headquartered in El Segundo, California
Multiple rounds with a Series A announced Jun 23, 2025; total funding reported in evidence: 12,000,000 USD