Until AI decides
what it does next.
WLF’s AI energy platform optimizes distributed energy assets across interconnected markets — switching between them dynamically and pricing risk against every minute of historical, current, and forecasted market data.
Megawatts don’t save.Milliseconds do.
Optimized from hardware to software, WLF AI has the right prerequisites to optimize.
From cell to market.
One stack. One contract.
Interconnected energy markets, all optimized by one AI platform across a single asset.
One battery, optimized across the markets at once.
Engineered into the contract — against a 6–10 year industry standard.
Conservative assumptions, transparent methodology — numbers you can check line by line.
Where your battery earns.
Interconnected markets, each with its own revenue mechanism — and the AI platform dispatches into whichever pays more in the next clearing window.
The 15-minute
decision loop.
Every 15 minutes, across every WLF-optimized asset, the AI runs a four-stage decision loop. The loop has no human in it. Humans set the operating envelope and risk limits; the AI optimizes inside them.
The AI is not deciding whether to participate in markets. It is deciding which markets pay more in the next clearing window — and rebalancing the asset to capture them.
The AI reads the live state of the asset and grid — state of charge, load, PV, frequency and price.
It projects the next clearing windows across spot, frequency, balancing and ancillary markets — with probabilities.
It solves for the highest-value allocation of every MW — which market each megawatt serves to maximize revenue.
The EMS executes down to the metal — charging, discharging, bidding and switching markets automatically.
It doesn't just predict the price.
It prices the uncertainty.
The AI runs three models across three time horizons at once — learning the patterns in yesterday’s data, reading the live state of the grid today, and pricing a probabilistic forecast of where the market goes tomorrow.
Years of price curves, demand cycles and grid events train the model to recognize the patterns that repeat — so it knows what usually happens next.
Live frequency, prices, asset state and site load stream in continuously — so the AI always acts on what is true right now, not a stale snapshot.
The AI forecasts a distribution of outcomes — not one number — so it sizes each bid to the probability of being right, capturing upside while protecting the downside.
The stack is built to earn.
One battery, optimized across the markets at once. The economics use conservative, independently reviewable assumptions — built by a team from PowerCo, Bosch, VW, Farasis, A123, Argonne and McKinsey.
One asset, every market.
A single battery, optimized across the markets at once — sensing, forecasting, optimizing and dispatching every 15 minutes.Contract to live, in months.
From signed contract to live operation in 3–6 months — roughly half the industry norm.
Peaks shaved as standard.
Demand-charge reduction runs around the clock, with setpoints tuned to each site and reserve guards in place.
One asset, several income streams.
Arbitrage, ancillary services, self-consumption and peak-shaving all run as one strategy — so the battery earns more, and earns it sooner.
Want to learn more?
Let’s optimize together.
The app is launching soon. Keep in contact — you’ll be the first to know when it’s released.
hello@wlfenergy.deYour assets and your markets — battery size, PV, load, tariff and which markets you can reach. A real site, not a spreadsheet.
In the app, the AI runs the same decision loop on your numbers — spreading one MW across the markets to find what each megawatt could earn.
You’ll get the revenue stack for your site — per-MW, per-market — plus the IRR and payback.