Solutions
AI applied to IoT
We apply AI where it makes sense in the physical world: predictive models over time series, anomaly detection for anti-fraud and failures, computer vision on the CCTV you already have, and edge inference when bandwidth is scarce. We don't sell generic AI or chatbots; we sell concrete models attached to concrete equipment. When useful, we complement with LLM + RAG over manuals and runbooks so field teams get answers without paging support.
Use cases
- ›Predictive maintenance for HVAC, motors and transformers
- ›Fuel anti-fraud with isolation forest over fueling patterns
- ›Production-line defect detection with YOLO
- ›People counting, intrusion and PPE verification on CCTV
- ›Edge inference at rural sites with satellite connectivity
- ›Operational assistants (LLM + RAG) over technical manuals
- ›Energy optimization with consumption forecasting
Technologies
Pythonscikit-learn / PyTorchYOLO / OpenCVNVIDIA Jetson / Coral TPUMLflowLangChain + RAGProphet / anomaly detectionMQTT/Modbus bridge
Benefits
- ✓Squeeze value out of historical telemetry you already have
- ✓Edge inference for low latency and low internet dependency
- ✓Native integration with existing dashboards and ERPs
- ✓Managed MLOps: retraining and drift monitoring included
- ✓Data privacy: on-premise option for regulated sectors
- ✓Short pilots (6-10 weeks) before committing budget