Data Center Maintenance
Acoustics- and Edge AI-based predictive maintenance
An unplanned failure in your cooling or power infrastructure — chillers, pumps, generators, UPS, transformers — doesn’t cost you a repair; it puts uptime at risk, and downtime in a data center is measured in thousands of dollars per minute plus SLA penalties and customer trust. MikaGu mounts compact microphone arrays on your critical rotating and power equipment and analyzes the sound on-site, identifying the acoustic signature of a developing fault weeks before it escalates — so your facilities team schedules the fix during a maintenance window instead of scrambling during an incident. Our models detect anomalies with over 98% accuracy and diagnose faults with 97% accuracy at a very low false-alarm rate, so your team acts on real problems instead of chasing false alerts across a floor of identical units. Everything runs on-premise on a local edge device with no cloud connection, so no operational or security data ever leaves your facility — the system deploys in air-gapped and high-security environments and passes cybersecurity and compliance review where cloud-based monitoring cannot. Already deployed at the Dorad power plant and with Electra, MikaGu adds a layer of early-warning protection that complements your existing DCIM and BMS rather than replacing it.