Atmeto

We develop ML that optimizes how batteries in the grid store energy

Y CombinatorWinter 2023ActiveIndustrialsEnergyEnergy StorageReinforcement LearningClimateEnergy

What they do

Problem

Grid batteries are not controlled efficiently enough to maximize energy storage capacity and enable higher penetration of wind and solar.

Solution

Atmeto builds machine-learning algorithms that optimize how grid-connected batteries charge and discharge to unlock more usable storage capacity.

Who it's for

Utilities, grid operators, and battery storage owners/operators use it to manage grid-scale battery systems.

Founders

Jack O'Grady

Founder

I build Reinforcement Learning for energy systems. Currently building Atmeto (f.k.a. Keeling Labs). Previously at Rivian for 3+ years building battery data science from the ground up, where I ultimately focused on applied AI (RL) for battery optimization in R1T/R1S.

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