About Mapped

Mapped provides an AI-powered data infrastructure platform that automates the discovery, extraction, and normalization of data from building systems, sensors, and vendor APIs. This technology enables property owners and facility operators to efficiently access and integrate real-time data, significantly reducing the time spent on asset discovery and enhancing operational efficiency.

```xml <problem> Integrating data from diverse building systems, sensors, and vendor APIs is complex and time-consuming, hindering efficient access to real-time operational data. The lack of a standardized data layer forces developers to spend excessive time on data discovery, extraction, and normalization instead of focusing on application development. </problem> <solution> Mapped offers an AI-powered data infrastructure platform that automates the discovery, extraction, and normalization of data from various sources within commercial and industrial spaces. The platform connects to building systems, sensors, and vendor cloud APIs, extracting data using their native protocols. Mapped then employs machine learning to automatically tag and map the raw data into industry-standard semantic data ontologies like BRICK, Haystack, and REC. This normalized data is used to build a knowledge graph accessible through a GraphQL API, webhooks, and destination connectors, enabling developers and facility operators to efficiently access and utilize real-time data. </solution> <features> - Intelligent edge software connects to diverse real-world data sources, including building systems, devices, and vendor cloud APIs. - Automated data discovery and extraction within four hours. - AI-driven tagging and mapping of raw data into industry-standard semantic data ontologies (BRICK, Haystack, REC). - Knowledge graph accessible via GraphQL API, webhooks, and destination connectors. - Support for 70+ cloud sensor integrations, 14 geospatial formats, and 12 on-prem protocols. - Open-source data model (brickschema.org). </features> <target_audience> Mapped primarily targets property owners, facility operators, and solution providers in retail, warehouses, hospitals, airports, stadiums, campuses, offices, mixed-use developments, and data centers. </target_audience> ```

What does Mapped do?

Where is Mapped located?

Mapped is based in El Segundo, United States.

When was Mapped founded?

Mapped was founded in 2019.

How much funding has Mapped raised?

Mapped has raised 34990000.

Location

El Segundo, United States

Founded

2019

Funding

34990000

Employees

40 employees

Major Investors

Allegion Ventures, MetaProp

Find Investable Startups and Competitors

Search thousands of startups using natural language

AI voice (2021+)underground pipe robots energy flexibility software

Start Searching

Mapped

⚠️ AI-generated overview based on web search data – may contain errors, please verify information yourself! You can claim this account with your email domain to make edits.

Executive Summary

mapped.com 1K+

Crunchbase

Founded 2019 – El Segundo, United States

Funding

Estimated Funding

$20M+

Major Investors

Allegion Ventures, MetaProp

Team (40+)

No team information available.

Company Description

Problem

Integrating data from diverse building systems, sensors, and vendor APIs is complex and time-consuming, hindering efficient access to real-time operational data. The lack of a standardized data layer forces developers to spend excessive time on data discovery, extraction, and normalization instead of focusing on application development.

Solution

Mapped offers an AI-powered data infrastructure platform that automates the discovery, extraction, and normalization of data from various sources within commercial and industrial spaces. The platform connects to building systems, sensors, and vendor cloud APIs, extracting data using their native protocols. Mapped then employs machine learning to automatically tag and map the raw data into industry-standard semantic data ontologies like BRICK, Haystack, and REC. This normalized data is used to build a knowledge graph accessible through a GraphQL API, webhooks, and destination connectors, enabling developers and facility operators to efficiently access and utilize real-time data.

Features

Intelligent edge software connects to diverse real-world data sources, including building systems, devices, and vendor cloud APIs.

Automated data discovery and extraction within four hours.

AI-driven tagging and mapping of raw data into industry-standard semantic data ontologies (BRICK, Haystack, REC).

Knowledge graph accessible via GraphQL API, webhooks, and destination connectors.

Support for 70+ cloud sensor integrations, 14 geospatial formats, and 12 on-prem protocols.

Open-source data model (brickschema.org).

Target Audience

Mapped primarily targets property owners, facility operators, and solution providers in retail, warehouses, hospitals, airports, stadiums, campuses, offices, mixed-use developments, and data centers.