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Solutions
ReMI — Operating Intelligence Through IoT Telemetry
Turn equipment signals into cost reduction — predictive maintenance, anomaly detection, and energy optimization across portfolios and networks.
Problem
Reactive operations are expensive
Unplanned downtime
Equipment failures disrupt operations and create costly emergency repairs.
Hidden energy waste
Inefficient equipment and poor scheduling drive up utility costs invisibly.
Fragmented telemetry
Siloed data from different systems prevents holistic asset visibility.
Delayed maintenance decisions
Reactive approaches mean problems are discovered too late to prevent impact.
Solution
What ReMI Does
Asset health scoring and anomaly detection
Continuous telemetry from BMS/SCADA feeds survival models trained on equipment failure modes. Automated alerts 14-30 days before projected failures with failure-mode classification.
Predictive maintenance signals and failure windows
ML-powered predictions identify optimal maintenance windows from run-time logs, pressure transducers, and VFD current draw. Schedule work before breakdowns — 40-60% emergency dispatch reduction.
Energy optimization and consumption attribution
Federated learning across portfolio optimizes HVAC schedules by building archetype, occupancy, and weather. Automated Scope 1-2 carbon accounting from interval meters and BMS fuel logs. 12-20% energy cost reduction.
Equipment telemetry ingestion and normalization
Ingest from any protocol — BACnet, Modbus, MQTT, OPC-UA, Niagara. Normalize into a unified schema for cross-asset comparison. Eliminates building-level data silos across portfolios.
How It Works
Simple 4-Step Process
Connect
Integrate telemetry sources
Normalize
Standardize signals across systems
Detect/Predict
Identify anomalies and patterns
Route & Optimize
Alert teams and optimize
Works with common BMS/SCADA, meters, CMMS, and APIs
Industries
Examples Across Industries
Commercial Real Estate
- HVAC system health monitoring and optimization
- Elevator and escalator predictive maintenance
- Building-wide energy consumption analytics
Reduced emergency repairs and lower energy costs across portfolios
Utilities & Infrastructure
- Grid equipment condition monitoring
- Transformer and substation health scoring
- Demand forecasting and load optimization
Improved asset reliability and reduced outage frequency
Waste Management
- Fleet vehicle health monitoring (hydraulics, PTO, brakes)
- Container fill-level sensing and optimization
- MRF equipment performance tracking
Fewer breakdowns and optimized collection schedules
Industrial
- Production line equipment monitoring
- Quality control sensor analytics
- OEE improvement through predictive alerts
Higher uptime and reduced maintenance costs
ROI
Built for fast payback
- Fewer emergency repairs through early detection
- Fewer outages with predictive maintenance
- Better preventive scheduling based on actual condition
- Lower energy cost through optimization
Most PoCs run 2-6 weeks, with a typical pilot around 30 days depending on scope and data readiness.
Security-first delivery
Enterprise controls and auditability. ISO 27001 aligned posture.
FAQ
Frequently Asked Questions
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