One platform for intelligent control.
A digital twin of your operation, the data that keeps it true, models that look ahead, and an agent that proves each call before it runs.
End-to-end loop
From a model of your system to decisions that run themselves.
The twin is where calls get tested. Data keeps it honest. Models look ahead. Your history supplies the proof.
- 01
Model your system
A digital twin of your operation: assets, relationships, limits, and the physics that govern them.
- 02
Connect the data
Your data keeps the twin current. Weather, markets, outages, and prices fill in the world around it.
- 03
Forecast what happens next
Pretrained models forecast the quantities your decision depends on.
- 04
Prove it on your history
Metis replays your history and asks: would this have beaten what you did? Worst days included.
- 05
Deliver the decision
Calls arrive on your schedule, through your tools, with the reasoning attached.
From definition to proof
You define the call. The agent runs it.
You define the call and the limits. The agent tests approaches against how you decide today and returns the winner with its reasoning.
Data in
The agent forecasts many futures, tests them against history, and ranks the options.
Decision out
Ranked and explainable, with the evidence behind it.
Platform primitives
Four pieces, one control system.
Each page explains one layer in plain terms.
A living model of your system
Your assets, their physics, and the world around them. Calls are tested here first.
Open twin →DataYour data, plus the world around it
Your data plus the weather, markets, outages, and prices that move you.
Open data →ModelsForecasting models
Pretrained models forecast load, prices, output, and the events that move them.
Open models →AgentThe decision engine
Forecasts your options, tests them on your history, delivers the best call.
Open agent →Why it works
The twin is where ideas get tested. The data keeps it honest. The agent does the work.
Metis starts advisory: build the twin, replay ninety days against your current process, take on real decisions only after it wins.
The loop compounds: every call becomes training data, and every system the platform runs makes it better at the next one.
Start with the system you already operate.
We model it, prove it on your history, then connect to your systems.