Datacenter & critical facilities · 2025
EHS predictive intelligence for mission-critical facilities
Colocation & edge operator (multi-region)
Challenge
Facilities teams managed cooling, power, and safety in siloed CMMS, spreadsheets, and vendor portals. Near-misses and permit-to-work data never met operational telemetry—so leadership could not see when rising inlet temperatures, refrigerant handling, or confined-space work clustered in the same hall. Regulators and insurers demanded stronger evidence of proactive EHS controls without slowing change windows.
Solution
We built an EHS predictive intelligence layer: time-series and event data from BMS/EPMS and environmental sensors landed in a governed lake; we normalized work orders, permits, chemical inventories, and incident logs. Gradient-boosted and anomaly models scored risk for thermal runaway, air-quality excursions, and unsafe work patterns; scores surfaced in NOC and EHS consoles with recommended actions and audit trails. Playbooks connected alerts to escalation, lockout/tagout checks, and root-cause capture.
- Single timeline of BMS points, power, weather, and maintenance events per hall
- Feature store for repeatable training across sites with privacy-preserving aggregation
- Human-in-the-loop: EHS validates model alerts before broad automation
- Integration with DCIM tickets and digital permits for traceability
- Executive dashboards for leading indicators—not only lagging incident counts
Results
- Earlier detection of thermal anomalies before SLA-threatening hotspots
- Fewer unplanned safety stand-downs during concurrent maintenance
- Stronger audit packs for EHS reviews with sensor-backed evidence
- NOC and facilities teams aligned on one prioritized risk queue
“For the first time, EHS and operations argued from the same timeline—not from two different spreadsheets after a near-miss.”