Data for the real world

The independent data layer for people, places, and things

50+

cloud sensor integrations

14

geospatial formats

12

on-prem protocols

40,000+

device mappings

Data for

the real world

Mapped is an AI-powered independent data layer for commercial and industrial spaces that helps property owners, facility operators, and solution providers to rapidly access real-time data from building systems, sensors, devices, and vendor APIs by automating the data discovery, extraction, and normalization process. Mapped uses machine learning to abstract the complexities of data integration to create an independent data layer with an open-source data model (brickschema.org).

Connect

Mapped's intelligent edge software connects to various real-world data sources, including building systems and devices, and extracts data using their native protocols. Mapped can extract data from a vendor's cloud API, too!

Map

Mapped's edge software discovers and extracts data within four hours. Using AI, the raw data is then automatically tagged and mapped into industry-standard semantic data ontologies such as BRICK, Haystack, and REC.

Access

Mapped utilizes the normalized data to build a knowledge graph. Your developers, facilities operations teams, and partners can access the graph using our GraphQL API, webhooks, and destination connectors.

One API

for all your applications

FLOOR GEOMETRY

GATHER SENSORS

TEMPERATURE READINGS

  buildings(filter: {id: {eq: "123456abcdef"}}) {

    floors {

id

      name

      geoshape

The new standard in

building systems integrations

Customers across commercial real estate, retail, warehouse, and manufacturing use Mapped to manage their entire data pipeline.

See use cases for:

With an AI-powered commercial data platform like Mapped, developers can shift away from performing discovery and integration, and instead focus on application development and outcomes.