Power-systems optimization toolboxes and ML compute-emissions monitors — research-grade software used across Europe.
A Python toolbox for simulating and optimizing modern energy systems — generators, wind/solar, battery storage, hydrogen, and capacity expansion planning. With TU Berlin, funded by the German Research Foundation.
A Python library that estimates and tracks CO2 emissions from GPU, CPU, and RAM during ML training and inference. Maps hardware power draw to grid carbon intensity. Backed by Comet.ml, BCG GAMMA, and Mila.
Generation, storage, and capacity-expansion planning.
Constraint-based optimization of modern energy systems.
Measure and reduce compute emissions in ML workloads.
Research-grade · academically validated. Tell us about your problem and we'll tell you honestly how we'd solve it.