Turn telemetry into operational foresight.
We apply machine learning to facility and infrastructure data — predicting failures, detecting anomalies, and optimizing energy and capacity before problems reach production.
Modern facilities generate vast telemetry that mostly goes unused. Without intelligence layered on top, teams react to alarms instead of preventing incidents, leave efficiency gains on the table, and plan capacity from spreadsheets. As densities rise, the cost of a missed signal climbs with them.
An operational intelligence layer that unifies facility, power, thermal, and IT telemetry — surfacing predictive maintenance signals, anomalies, energy optimization opportunities, and capacity forecasts through clear executive dashboards.
What we deliver
Operational intelligence for the facility.
Predictive maintenance
Failure prediction on critical equipment from sensor and event data.
Anomaly detection
Continuous detection of abnormal power, thermal, and network behavior.
Digital twin monitoring
A live model of the facility for what-if analysis and validation.
Energy optimization
ML-driven PUE and cooling optimization.
Capacity forecasting
Predictive power, space, and cooling capacity modeling.
Operational dashboards
Unified, role-based intelligence for operators and executives.
Telemetry integration
Unify BMS, EPMS, DCIM, and IT data into one fabric.
Alerting & automation
Prioritized, correlated alerts with automated response hooks.
Typical ways we engage
Intelligence assessment
Evaluate data readiness and define the highest-value use cases.
Platform integration
Unify telemetry and deploy predictive and optimization models.
Managed intelligence
Ongoing model tuning, dashboards, and operational insight.
Vendor-neutral integration
We integrate leading technologies across the data center ecosystem, selecting what best fits your performance, cost, and risk objectives.
- DCIM & sensor networks
- BMS/EPMS data
- Time-series & data platforms
- ML & analytics tooling
- Visualization platforms
Technology ecosystem references represent integration experience and target categories, not formal partnerships.
What you can expect
Planning a ai intelligence initiative?
Tell us about your project. We'll outline a clear engagement model and roadmap tailored to your environment.