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hero image the real world
hero image retail
hero image hospitals
hero image warehouses
hero image stadiums
hero image office buildings
hero image airports
hero image mixed use
hero image data centers

Data AI for the real world

The independent data layer for people, places, and things

number

70+

cloud sensor integrations

number

14

geospatial formats

number

12

on-prem protocols

number

40,000+

device mappings

Data AI for the real world

Own Your Data

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).

floor

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.

data sharing
data access

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 data

FLOOR GEOMETRY
GATHER SENSORS
TEMPERATURE READINGS
{
  buildings(filter: {id: {eq: "123456abcdef"}}) {
    floors {
      id
      name
      geoshape
    }
  }
}
code preview 1

The new standard in

data integrations

Customers across retail, warehouses, hospitals, airports, stadiums, campuses, and offices use Mapped to manage their entire data pipeline for discovery, extraction, normalization, and enrichment over time.​

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.

Matt Eastwood

Matt Eastwood

Sr. Vice President, Enterprise Infrastructure, Cloud, Developers, & Alliances, IDC

Latest updates

WHITEPAPER

Mapped Platform Is Now available on Microsoft AppSource

December 14, 2022

WHITEPAPER

Feature: Realizing The Promise Of Data In Commercial Real Estate

July 17, 2022

WHITEPAPER

Tech Talk Series: The Mapped Data Pipeline

April 29, 2022
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Try our sandbox

Our sandbox comes with built-in sample data, data points and connectors to get you going quickly. Use the Mapped API to change the world around you.​

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© Mapped 2024. All rights reserved.
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© Mapped 2024. All rights reserved.
SOC compliant.