The world model for physical infrastructure. Signals in, decisions out.

Operators of energy markets, grids, buildings and transport networks rely on forecasts that miss the moments that matter: the price spike, the grid event, the asset that fails.

The signals that warn of these moments already exist, but they sit in separate systems and no model reads them together. A heatwave can raise building load, grid demand and energy prices at once.

Instead, each operator runs a patchwork of task-specific forecasting models, rebuilt for every new use case.

DataCruiser’s world model reads signals from physical systems together, across space and time: prices, sensor readings, weather and traffic. It learns the drivers they share, spots sudden changes and links what happens in one place to what happens next door. It already beats leading forecasting tools on energy and traffic.

Operators ask their data a question: what is coming, why, and what should we do? A single model handles every step, from reading the raw signals to recommending a move and checking whether it worked. Forecasting is live today; the other steps are built or in progress.

1. Sense

   Built

   Encodes every signal, and fills in what sparse sensors miss.

2. Anticipate

   Ships today

   Sees what is coming: spikes, surges and failures.

3. Explain

   Built and benchmarked

   Finds the drivers and the root cause behind a change.

4. Decide

   In development

   Tests the options in simulation and recommends the next move.

5. Verify and relearn

   On the roadmap

   Checks the outcome against what happened and feeds it back.

Where we are. Prototype developed and running in pilots, at technology readiness level 5. Operators call it through an API or ask it a question in plain language.

Energy is the entry market: energy traders and retailers, battery operators and network operators. Next come buildings and assets (commercial real estate, airports and plant), then transport and mobility (road agencies, councils and fleets).

Models are running in pilots for building digital twins, Australia’s National Electricity Market, and vehicle movements in Australia and California. Pilots span energy, buildings, mobility and finance, and we run them globally.

The same model adapts to a new domain with its data and a light adapter, without building a separate model for every task.

Energy markets and grids.

Energy prices, demand, generation, outages and weather all shape the decisions operators make.

Road traffic.

Sensor counts, incidents, roadworks, events and weather help reveal what is changing across a network.

Buildings and assets.

Telemetry, occupancy and equipment signals can help operators anticipate building and asset needs.

Movement of people and vehicles.

Vehicle trips, routes and timing show where people and fleets will move.

Ports and logistics are other domains where we see this approach applying.

Hosted API.

Teams subscribe and pay by usage through model and cloud marketplaces, with no sales call.

Premium vertical models.

Models fine-tuned on an operator’s own data, for energy, buildings and mobility.

Paid pilots prove the model on an operator’s own data, then convert into subscriptions. We sell directly and through distribution partners that already sell to operators.