Sector context
A decision layer for generation forecasting and dynamic pricing
The energy sector is advancing through volatile demand and new carbon regulation at once; data-driven decisions become critical.
Use cases
Where to start in this sector
Generation forecasting
Grid planning with LSTM-based generation and demand forecasting.
EV charging pricing
Location- and time-based dynamic charging prices — within regulatory limits.
CBAM reporting
Automated CBAM reports from emissions and production data.
Telemetry integration
Streaming occupancy and transaction data into a real-time decision layer.
Sector regulation
CBAMEU AI ActEnergy market regulation
Products in this sector
Foundation plus sector-specific agents
A typical deployment combines our 4 horizontal foundation products with one or more sector-specific agents.
Proof
Dynamic pricing can go live for independent charge point operators and for the charging units of energy companies.
Now shipping to production
Let’s start with a working POC in 1–2 weeks
A 30-minute discovery call. We listen — not pitch. In the following week, we design a working POC on your data.