Evervia continuously learns from real-time energy, weather, and grid signals to adjust how organisations consume energy — reducing cost, inefficiency, and operational waste without manual intervention.
Energy consumption, weather patterns, pricing signals, grid conditions
Models usage behaviour, detects inefficiencies, forecasts near-term demand
Determines when, where, and how energy should be used across operations
Recommendations, alerts, workflow triggers, and future device-level control
Most systems show energy data. Evervia turns that data into decisions that actively change consumption behaviour.
Energy intelligence for organisations that cannot afford dedicated energy management teams or expensive enterprise tooling.
Every optimisation decision reduces avoidable waste while supporting efficiency and net-zero operational goals.
The cost of inaction
No commercial price cap. Hidden broker charges. Buildings consuming energy nobody is watching. The problem is structural — and it scales with your organisation.
Why Evervia
Evervia continuously identifies inefficiencies, tariff leakage, avoidable operational waste, and optimisation opportunities across energy usage patterns.
Data: Elexon BMRS API + Open-Meteo · Gradient Boosting model · 48h forecast window · Updates every 30 mins
Pricing
You are not paying for a dashboard. You are paying for cost reduction, operational intelligence, and predictive optimisation — delivered autonomously.
For small and medium businesses that need energy intelligence without an enterprise price tag.
For schools, retail chains, hospitality groups, and property managers operating across multiple buildings.
Purpose-built for councils, universities, and public bodies managing energy across large building estates.
GridSense is Evervia's consumer and developer product. It gives individuals and technical users access to the same live UK grid intelligence through a personal energy tool and REST API.
Home usage monitoring, cost-saving tips and advanced forecasting for people outside the SME, facilities and public-sector plans above.
Elexon BMRS, Open-Meteo, Supabase and Gradient Boosting model outputs packaged for technical workflows and prototypes.
Why now
Businesses need systems that actively reduce exposure to unpredictable energy costs — not just alerts that arrive too late to act.
Smart meters, weather APIs, and grid data now make real-time energy intelligence possible at a fraction of the historical cost.
Modern learning systems can convert fragmented consumption data into adaptive operational decisions at SME scale.
We are looking for early SME and public sector partners interested in testing autonomous energy optimisation — systems that learn, decide, and improve over time.
🔒 Takes 2 minutes. No spam — one email when you're accepted.