Invest in Values.
Produce in Freedom.
Boost Europe.
Europe's plants run on gas, power, heat and steam – and all of them are being rebuilt at the same time.
The hard part isn't ambition, it's arithmetic: which asset to buy, when to run it, what to hedge.
Europe's largest companies (~2% of total energy demand) answer these questions with our Energy OS: a digital twin of the site, an optimizer that plans it, and agents that operate it.
The optimizer is yours.
Twenty-year investment decisions, quarter-hourly dispatch, real tariffs, real market rules.
You report directly to the CTO – and nobody stands between your model and the plant it runs on.
Tasks Optimization Models End-to-End: Own capacity expansion planning over multi-year horizons, dispatch at quarter-hour resolution, and MIP production scheduling with sequence-dependent setup times.
Model Physics & Contracts: Storage, thermal networks, transmission, flexibility, self-consumption, minimum part loads, start-up costs – formulate what reality actually demands.
Make It Solve: Tighten big-Ms, scale models cleanly, decide where decomposition earns its complexity – and where it doesn't.
Smart Data Reduction: Time series clustering, extreme periods, segmentation and aggregation – without accuracy quietly disappearing.
Regulation into Constraints: Model grid fees, levies, tariffs, balancing power and intraday trading per country, and understand what they do to the objective function.
Prove It's Right: Test cases on real customer systems, fixtures that catch regressions, and infeasibility output an engineer can actually diagnose.
Interface & Production: Define inputs and outputs with the Product Engineers; own the runs on Kubernetes – solve time, memory and cost are your numbers.
Explain to the Customer: When a customer questions a schedule, you're the one who can say why the model chose it.