The AI platform for weather, risk, and operational intelligence

Bring in the information you need.

Upload your files, connect live data, or let AI Agents find public information for you. You can also connect ready-made data sources.

Add your own rules, procedures, important numbers, and steps to follow. Check them once, then use them again and again.

Build your own console.

The Builder Agent helps you assemble your console. Just talk to it about the parameters you want to monitor and forecast, the tables and graphs you want to read, and the GIS layers you need on the map. It builds the console around what is important to you.

Your sites go on the map, the feeds come in, the alerts and the people responsible are set, and the reports are ready. You can change anything later. You do not have to set everything up one piece at a time.

Set up the console for your site.

The Builder Agent helps you assemble your console. Just talk to it about the parameters you want to monitor and forecast, the tables and graphs you want to read, and the GIS layers you need on the map. It builds the console around what is important for that site.

For example, for a solar plant, you can monitor how much power it should produce and what could affect it, such as storms, flooding, heat, lightning, or poor weather.

Everything is set up for the location and site you choose. You can change, remove, or add anything you need.

Calibrate it against the real operation.

Once the console is built, you manage and calibrate it. Choose the data each site shows, such as rain, weather forecasts, lightning, storms, wind, satellite information, or your own site data, and switch the GIS layers on.

Then set the rules and the limits that matter, name the recipients, and tune the configurations that count. When something reaches a limit, the right person gets an alert by text, email, and in the console.

If they do not respond, the alert can automatically go to the next person. Everything is recorded, so the console stays aligned with the real world operation.

Calibrate it, then model anything.

Once the console is built, you manage and calibrate it: the data and the rules behind every reading, the recipients, and the configurations that matter, so what you see stays aligned with the real world operation.

Then ask what you want to know in simple words. AI Agents can analyze the information for a specific site, whether the job is simple or complex, combining weather, site information, past data, and other sources to produce a more useful result for that location.

For example, it can estimate tomorrow’s solar power, check flood or storm risks, or look at how conditions could affect a site.

You can use different models and data sources, and check how well they perform before using the results.

Deploy your command center.

What you deliver is a real, working command center, not just a report or presentation. It can have your own name, logo, colours, and web address. Your team gets the map, alerts, reports, and tools they need in one place.

You decide who can access it, what they can do, and how much AI Agent credit they can use.

AI Agents work inside the console, monitoring information, checking your rules, identifying what could be affected, and helping your team respond. You manage everything in one place.

Create the report you need.

Turn the results into a report your clients or team can actually use. Use your own format and branding. The report can be a forecast, assessment, situation report, or any other analysis you need.

A person reviews and approves the report before it is sent out. Then the same console is ready to run again tomorrow, or for your next site.