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.
cloud sensor integrations
geospatial formats
on-prem protocols
device mappings
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).
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!
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.
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.
{
buildings(filter: {id: {eq: "123456abcdef"}}) {
floors {
id
name
geoshape
}
}
}