Product Overview
Advanced cloud software that analyzes incoming telemetry using machine learning to surface hidden operational waste.
Operational Scope & Logic
Unsupervised ML pipeline (Isolation Forest + LSTM autoencoder) for multivariate time-series anomaly detection. Generates ranked waste opportunity reports with estimated savings calculations.
Profile Specifications
| Model Types | Isolation Forest, LSTM Autoencoder, Prophet |
| Detection Latency | < 5 seconds from data ingestion |
| Report Frequency | Real-time alerts + daily digest |
| Savings Calculation | Automatic ROI estimation per anomaly |
| Integration | OmniDB + Aura Dashboard native |
Core Capabilities
Applied Use Cases
- • Detecting ghost loads running overnight in a factory
- • Identifying steam leaks via consumption pattern anomalies
- • Flagging inefficient shift schedule energy patterns
Hardware & API Simulator
Test telemetry registers, compilation sweeps, or load parameters live using our built-in R&D diagnostic simulator below.
MQTT-to-REST / WebSocket API Tester
Simulate fetching formatted telemetry outputs from our TimescaleDB API middleware endpoints.
Ready for Immediate Factory Deployment & Custom Integration
Our design processes follow strict quality management pipelines, ensuring physical hardware modules fit seamlessly inside dynamic industrial cabinets.