InfraMap: Real‑Time Thermal Maps for Data centers

Why Thermal Maps Matter

As data centers transition to high‑density GPU infrastructure they experience extreme thermal challenges. Legacy sensor setups only measure temperature at specific points, offering an incomplete picture of room‑scale airflow. Inadequate monitoring makes it difficult to detect hot spots or evaluate the effectiveness of cooling systems. Poor airflow management and misconfigured layouts often cause temperature inconsistencies and blocked airways.

InfraMap solves these problems by deploying autonomous robots and fixed rigs equipped with infrared and RGB cameras. We stitch thousands of images into a high‑resolution thermal map that reveals invisible patterns. These maps allow operators to see where hot and cold air flow, identify blocked vents and balance cooling loads without guesswork. Thermal imaging can reveal hot spots and cold spots and even detect overloaded circuits before they cause failures.

Technology

Autonomous Robots

Our rugged mobile robots navigate data centers autonomously or operate from fixed rigs. Equipped with thermal and visual sensors, they scan every aisle and rack to build a full 3D thermal profile.

High‑Resolution Mapping

Multiple images are stitched together to create a room‑scale, high‑resolution thermal map. This map visualises airflow, temperature gradients and energy waste just like a weather radar.

AI‑Powered Analytics

Our models analyse the thermal data to detect patterns, predict failures and alert operators to anomalies such as overheating racks, blocked airflow or under‑cooled zones before they cause outages.

Building a Foundation
for Environmental Insight

InfraMap isn’t limited to spotting hot spots. Our robots collect diverse thermal and visual data across multiple facilities, contributing to a proprietary dataset that powers a foundational model for environmental understanding. By training on diverse conditions from different layouts, cooling systems, and workloads, our models learn to recognise subtle patterns beyond simple anomaly detection. These representations can integrate with existing foundation models to enhance broader environmental intelligence, enabling predictive maintenance and adaptive control in complex facilities.

Our approach uses a general-purpose foundational model trained across diverse data sources related to data center operations, capturing airflow behavior, energy usage patterns, and equipment states. Instead of relying on static rules or siloed systems, our approach enables the model to learn generalizable patterns and adapt to new environments. The result is a system that improves over time, helping operators optimize cooling, reduce energy consumption, and stay ahead of infrastructure challenges.

Integration & Ecosystem

InfraMap integrates seamlessly with existing Data center Infrastructure Management (DCIM) platforms, Building Management Systems (BMS) and alerting tools. Our API delivers actionable insights directly into your dashboards, closing the loop between monitoring and corrective action. Operators can automate cooling adjustments, schedule maintenance and comply with industry regulations, all from the systems they already use.

Open API

Access real‑time thermal maps and alerts programmatically. Export data to your analytics tools or integrate directly into DCIM dashboards.

Cloud or On‑Prem

Deploy our solution in the cloud for easy scaling or on‑prem for sensitive environments requiring strict data residency.

Security & Compliance

InfraMap adheres to industry standards and supports compliance with regulations by providing auditable thermal records and anomaly reports.

Actionable Alerts

Customisable thresholds and smart notifications ensure you react to issues immediately, before they impact uptime.

Contact Us

Ready to reduce your data center downtime? Reach out to discuss how InfraMap can optimise your data center cooling strategy.

Making the Invisible Visible