Earn More From Every Battery Cycle
DOTA AI compares dispatch to market potential, tracks state of health against the warranty curve, and finds which cycles are worth running.
Captions are burned in. Illustrative data. No real utility names or plant names are used.
Storage asset managers, trading and optimization teams, IPP owners
Batteries earn on price spreads but degrade with every cycle, and cycling on low-spread days burns battery life for almost nothing.
DOTA AI compares dispatch to market potential, tracks state of health against the warranty curve, and finds which cycles are worth running.
From a question to a deployed app.
Ask
Compare revenue to market potential and show how cycling affects state of health vs. warranty.
Connect
BMS data, ISO prices, dispatch history and warranty terms.
Compare
Revenue vs. market potential, and state of health against the warranty curve.
Rule
One rule, skip low-spread cycles, agreed by trading and asset management and tracked live.
- 68% capture of market potential, aging faster than the warranty curve
- 41% of cycles earned just 6% of revenue
- Skip cycles under a $30/MWh spread
- Trade $40K a month for years of battery life: year-5 health 81% to 86%
The takeaway
Earn more, degrade less.
Keep exploring.
Build earn more from every battery cycle on your data.
See DOTA AI build a real utility app on your data in a 30-minute working session.