Generation assets
- Model turbine and plant performance without a labelled failure history
- Catch heat-rate and output degradation before it becomes an outage
- Keep fuel, emissions and performance reporting traceable to source
Atelic connects your IT and OT data, models the real-world performance of your plants and networks, and deploys AI measured against operational value, so your teams can act with confidence.
AI for power and energy applies machine learning and physics-based reasoning to plant, grid and project data to catch degradation early and support capacity and investment decisions. Atelic AI joins SCADA, turbine controls, grid meters, GIS and engineering records in one model, with every answer cited to its source.
What is heat rate?Machine & process data
Joins IT and OT into context and clarity
Business & operational data
Weigh power, gas, water and environmental constraints across an entire state to shortlist build-ready sites for generation, data centres and industrial load, with the reasoning behind every score.
Atelic models turbine and plant performance from your historians, controls and maintenance records, without needing a labelled failure history, and flags heat-rate and output degradation early so teams can act before it becomes an outage.
Yes. Atelic brings SCADA, GIS, asset registers and outage history into one model to assess where new load or generation can be accommodated, and shows the reasoning behind every constraint and dispatch recommendation.
It is a decision tool that weighs power, gas, water and environmental constraints across an entire state or region to rank sites worth building on, supporting EPCs, developers and utilities with transparent, auditable scoring.
Yes. Fuel, emissions and performance reporting are generated from the unified data model and stay traceable to the underlying source data, which simplifies audit and regulatory review.
Book a 30-minute session with our industrial AI team. We will map one high-value workflow, from your SCADA, historians and documents through to a defensible decision, and quantify the value at stake.