Mapped, an AI-powered independent data layer for commercial real estate, announced the availability of its no-cost, self-service Starter Plan offering for software development and data science teams.
Capable of quickly discovering all devices on a network and extracting data from building systems, sensors and vendor application programming interfaces (APIs), Mapped simplifies the data integration process down to a single API. Through this latest launch, application developers can connect cloud data in less than four minutes and with paid plans collect on-premises data in four hours, allowing them to fully map and integrate a building’s data sources in a mere four days. With the aim of breaking down enterprise data silos, Mapped’s solution frees up months of manual resources from data science teams, integration engineers and software developers so they can focus efforts on innovation rather than integration, the company said.
Upon sign-up for the Mapped Starter Plan, users gain instant access to the Mapped platform, which has been built to automatically ingest data from an ever-growing list of cloud-based connectors that integrate with systems like Google Calendar, VergeSense, Cisco, Microsoft 365, OpenPath and many others with an API interface. This service instantly extracts raw data and transforms it onto an industry standard, open-source graph, Brick Schema.
Mapped’s API creates an independent data layer built on Brick Schema, so data can then be fed to other analytics platforms including visualization services like Power BI, operational dashboards like Splunk, and data lakes like Snowflake. Users are provided the tools to build new interactive applications for built environments such as commercial office spaces, multi-family buildings, retail stores, and more.
“Mapped is solving a very important problem by unifying siloed data across systems, devices, sensors and applications and transforming the data from people, places, and things into an easily consumable format, thus minimizing integration challenges of rolling out new applications across different locations,” said Jose de Castro, Mapped chief technology officer. “We want to make this platform accessible to everyone and eliminate months of manual integration efforts by using machine learning that allows software developers to unlock value from data within minutes.”
