AI-native operational intelligence for industrial energy systems
GridWise is a software platform that operates continuously within industrial facilities, coordinating how energy-intensive processes run in response to electricity prices, renewable generation, and grid conditions.
It acts as an intelligence layer on top of existing operations, improving how energy is used without disrupting production.
How the platform operates
Condition Awareness
Continuously evaluates electricity prices, renewable generation patterns, and grid conditions to identify when operational flexibility has value.
Operational Coordination
Coordinates decisions across equipment and process steps to optimise how and when energy-intensive activities are performed.
Constraint Respect
All decisions are bounded by real operational constraints, including production throughput, product quality, and safety requirements.
Where it operates
- compressors and pumps
- motors and variable-speed drives
- refrigeration and cooling systems
- thermal processes and heating systems
- batch and continuous production processes
Typical optimisation actions
Process scheduling
Reschedule or delay eligible batch processes to avoid high-cost periods.
Dynamic process modulation
Adjust motors, pumps, and equipment loads where process limits allow.
Thermal pre-conditioning
Pre-cool or pre-heat systems ahead of peak periods to shift energy demand.
- 10-25% schedulable demand flexibility identified
- Reduced exposure to peak electricity prices
- Improved alignment with renewable generation
- Improved utilisation of existing grid capacity
Continuous learning and improvement
The platform continuously learns from operational behaviour and system conditions, improving how decisions are made over time and increasing optimisation effectiveness.
Deployment approach
GridWise is deployed as a lightweight intelligence layer alongside existing operational systems. It does not require changes to core process control systems and can be introduced incrementally through pilot deployments.