AI-Ready Data Centers
Maximize uptime. Minimize waste.
Unify core facility infrastructure and overlay sensors (temperature, moisture, pressure, vibration) in Mapped's world model, the foundation for Physical AI. Cut energy costs, optimize cooling, and protect uptime.
The challenge
The facility runs on data no single system can see.
Cooling, power, IT, environmental. A data center runs on siloed systems with zero shared context. Modern or legacy, cloud or on-prem, none of it speaks the same language. AI and automation can't optimize what they can't read.
Our solution
Mapped solves data center challenges
Mapped unifies cooling units, power systems, UPS and generators, environmental sensors, DCIM, and utility data into one platform that every team can use. Up and running in days, not months — and gives AI agents and analytics a world model to act on across the data center.
Contact SalesAutomate cooling and thermal management
IT load drives cooling demand in real time. Mapped connects the two so AI agents and automation systems can adjust cooling autonomously, holding thermal targets without manual intervention.
Predict equipment failures before downtime
Optimize energy and PUE across the facility
Monitor capacity and environmental conditions in real time
How AI reads and acts on a building
Connect, structure, and use your data
1. Connect
Plug in our gateway or connect virtually. No site visit required. Once connected, Mapped automatically ingests data from any system, sensor, or source — modern or legacy, cloud or on-prem.
2. Model
We use AI and machine learning to organize, classify, and enrich your data. Mapped supports BRICK, Haystack, or your own custom ontology. Or let an agent act on it.
3. Use
Structured data flows wherever you need it — dashboards, automation tools, apps, data warehouses or analytics — via a modern, flexible interface. Or let an agent act on it.
Why Data Center Teams Choose Mapped
Cut energy costs. Protect uptime.
- 200+ integrations across OT and IT, from CRAC/CRAH units and BMS to DCIM and power systems
- See and shrink PUE in real time by correlating cooling, power, and IT load
- Bi-directional control to read and act on any system through one API
- 10x faster time to value than traditional integration — results in days, not years
- No rewiring, retrofits, or replatforming required, with no vendor lock-in
- Enterprise-ready and SOC 2 compliant, so security and IT sign off before you connect anything
- A world model that self-heals as systems change, so AI-driven operations don't break
Get Use Case PlaybookProven Results that Scale
Real savings, faster performance
Mapped is helping data center teams prevent downtime, cut energy costs, and build the data foundation autonomous operations require.
up to 95%
faster data integration
up to 70%
lower integration and middleware costs
up to 50%
reduction in equipment downtime
up to 30%
reduction in energy usage across HVAC and production systems
Deployed across 400M+ square feet and 1,500+ properties — from data centers and warehouses to airports and hospitals.
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