Mapped is the independent data layer for commercial real estate. By automating the discovery, extraction, and normalization of data from building systems, sensors, devices, and vendor APIs, Mapped simplifies the integration process down to a single standardized API. Mapped breaks enterprise data silos to empower building owners, facility operators, and solution providers to rapidly unlock the value of data and drive transformative business outcomes – allowing them to focus on innovation rather than integration.
Mapped started with the idea “what if every built space had an API?” Getting data out of buildings was a complex, time consuming and often manual process - weeks or even months of work. To solve the problem, they created a knowledge graph of people, places and things using machine learning to automate the process of data extraction and identification. They then built a simple, secure and unified API on top; now anything that generates data - devices, sensors, enterprise applications and more - is accessible quickly, easily and securely.
Innovative solutions are emerging that promise to liberate building owners from these closed ecosystems. In particular, one buzzword is on everyone’s lips as a beacon of hope for “freedom from lock-in”: open source. But what does “open source” really mean in the context of building automation, and can it deliver on its promise of flexibility and owner control?
Today's tools have not been very user-centric for the people on the ground, so those people ignore them—and the hoped-for efficiency and data insights never materialize. Now that’s starting to change. Gamification, AI, and behavioral psychology principles influence users to return frequently, spend more time on the platform, and even enjoy doing so.
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