Mapped, an AI-backed data platform for commercial real estate IoT, today announced that its data normalization platform Starter Plan is now available for working software development and data science project teams, according to a press release.
The company says app developers can use the platform to connect to cloud data within four minutes. Mapped also noted it offers a paid subscription offering, which it says can provide on-premises data in four hours and can be used to map and integrate a building’s data sources within four days.
The service discovers devices on networks and extracts data from its systems, sensors and APIs, and then extracts raw data and transforms it onto Brick Schema, an open-source graph. An independent data layer is then built on Brick Schema, which enables the data to be used in analytics and visualization softwares like Power BI, Splunk and Snowflake.
Users can then build interactive applications for commercial office spaces, multifamily properties, retail stores and more with these new tools.
“As the independent data layer for commercial real estate, Mapped is well positioned to power the next generation of PropTech solutions that will take advantage of substantially easier access to normalized data from building systems, architecture, IoT, facilities management, and other industries,” said Shaun Cooley, founder and CEO of Mapped, in the statement.
Mapped says the free, self-service software aims “to automate the extraction and standardization of data isolated in silos scattered across cloud building systems.” It also says users who sign up for the Starter Plan can get instant access to the platform.
In addition, the Starter Plan platform offers cloud connectors to integrate with systems incuding Google Calendar, VergeSense, Cisco, Microsoft 365, OpenPath, and more via API interface.
The company says the free release is it intended to make the platform accessible, and eliminate the need for months of manual integration from data science resources, integration engineers and software developers by using machine learning instead, says Jose de Castro, chief technology officer at Mapped.
“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,” he said in the statement.
Today Mapped claims it has mapped more than 30 million square feet over 100 buildings, with above 30,000 device types, according to the release. It also says it is projected to reach more than 50 million data points by the end of 2022.
In other recent proptech news, Entrata, a multifamily property operations system provider, appointed proptech investor and advisor Stephanie Fuhrman as its Senior Vice President of Corporate Development. Valve, a global industry system for flexible workspaces, raised a $4.5 million seed funding round led by Project A.