About

About Mapped Mapped is the unified AI data layer for the built world. It is designed for building operators, solution providers, and system integrators who need fast, reliable access to structured building data. The platform securely connects to both modern and legacy building systems and automates the discovery, normalization, and enrichment of data using machine learning. This replaces slow, manual data‑mapping processes with a far more efficient, automated approach. Mapped integrates data from HVAC, lighting, sensors, enterprise applications, and vendor APIs. It organizes this information into a flexible semantic model that supports BRICK, Haystack, or custom ontologies. Once integrated, the data becomes instantly usable across dashboards, analytics tools, automation platforms, and developer environments. Mapped is purpose‑built for complex commercial and industrial IoT environments. Organizations use it to support energy optimization, operational efficiency, asset performance, space utilization, and tenant experience. It is relied upon across offices, retail environments, airports, campuses, and other large‑scale facilities. The platform offers broad technical flexibility. It supports physical or virtual gateways, legacy protocols, modern cloud systems, and more than 150 integrations. This allows structured, reliable data to move freely across tools and teams. Today, Mapped powers deployments across thousands of sites and more than 250 million square feet. Mapped was founded on the belief that every built space should be API‑accessible. Its AI‑driven data infrastructure helps organizations modernize buildings, unify fragmented systems, and enable smarter, more efficient operations.