Asset owners & IPPs
Earn more from the same park, without new hardware.
+14.0% asset revenue, proven on real Dutch market data: by pricing the worst hour, not the average one. Every fifteen minutes.
In merchant power markets, a renewable asset promises energy a day ahead and settles the difference every fifteen minutes at the imbalance price. Forecasts miss; the imbalance bill lands anyway.
Most optimizers plan for the average forecast, so the worst hours are exactly where they lose the most.
Not a forecast wrapper, not a rules screen: a portfolio optimizer that treats risk as a first-class input.
CVaR dispatch caps every promise at what the asset can deliver even in the worst 10% of forecast scenarios. The plan survives bad days by construction, not by luck.
A closed loop reconciles every decision against reality nightly (what was planned, what happened, what it earned) so the engine's judgement compounds with every asset-day.
Earn more from the same park, without new hardware.
Cut imbalance exposure across the book, asset by asset.
Dispatch the battery where it actually pays: price, imbalance risk and degradation in one objective.
A live dashboard runs the full loop on real Dutch market data today: plans, actuals, reconciliation. No hardware, no integration project: the engine needs your schedules and meters, not your control room.
Footage from the live product. Market prices and imbalance data are real (ENTSO-E, TenneT); dispatch results shown are shadow-mode with simulated telemetry, labelled as such in-product.
Germany's EEG era is giving way to merchant exposure: new solar earns no support during negative-price hours, so dispatch quality now lands straight on the P&L.
Germany holds Europe's largest utility-scale battery pipeline, and batteries are where dispatch value and tail risk concentrate.
Negative-price hours and intraday spreads keep setting records. Every trend widens exactly the gap our tail-risk engine is built to close.
A handful of operators run their assets on dedicated quant desks. They forecast the tail, price the worst hour, and capture what their megawatts are actually worth. Everyone else runs on rules of thumb and a spreadsheet, and leaves the difference on the table every single day.
That gap was never about the mathematics. It was about the six-figure team that used to be the price of entry.
Our mission is to close it. We publish the method rather than hide it, and we ship the decision engine as software a 15 MW park can actually afford. The same discipline the largest players buy, at a price the middle of the market can pay.
Our vision is what follows: every renewable asset in Europe running at its full economic potential. The transition does not stall on technology. It stalls on economics. Clean power sold badly earns less than it should, and a project that earns less gets built less often.
Make the honest decision the profitable one, and the grid keeps building itself.
Powerlys began with that premise. One founder, real TenneT market data, and an engine built to be judged by a single honest number: improving asset revenue by +14.0% where it counts, in euros per megawatt, on a virtual four-asset Dutch portfolio running from Brabant solar to Friesland wind.
Then, before hiring a single person, the founder did something companies usually do decades too late: he wrote a constitution. Nine articles binding the company for life, and binding him first. Merit measured in data. Every employee a shareholder. Dignity entrenched beyond even the founder's reach.
It is public, timestamped, and offered as an open example to any company that wants to copy it. We are building a hundred-year company for the energy transition, one honest number at a time.
And one thank-you belongs in this story: to Can, the friend who pointed the way at the very beginning. Some companies start with capital. This one started with good counsel.
Shadow-mode first: the engine plans alongside your current setup and shows the delta before anything touches dispatch.