Get AI-generated recommendations for adjusting coverage and optimal purchase timing, guided by trigger rules like stop-loss signals or short-term market sentiment to identify optimal buying windows.
Run what-if analyses on past and potential trades to understand their impact on cost, coverage, and risk.
Simulate up to four parallel trading strategies for electricity and gas. AI executes hypothetical trades based on market signals and parameters, such as risk tolerance, renewables share, and trading frequency.
All simulations run within predefined guardrails with human oversight, so you can evaluate trading approaches before committing real capital.
Get day-ahead visibility of energy costs with a traffic-light system showing expensive and cheap periods. Adjust consumption manually to take advantage of lower-cost windows.
Get clear guidance on where to save money through load shifting, and increased efficiency and cost control across operations
Automatically captures past trades via supported supplier integrations. Manual entry is supported for non-integrated suppliers, giving you a centralised record of all executed trades.
Get rid of manual spreadsheets, reduce errors, and maintain a complete audit trail of all your energy procurement activity.
AI executes trades with suppliers based on market signals and your parameters, including risk tolerance, renewables split, and trading frequency.
Every order operates within predefined guardrails and is monitored by onu.energy to ensure trades stay within your risk limits while reducing manual overhead.
