Weather and hazard data
High-resolution forecasts, radar, observations and official alerts, with flood, elevation and rainfall data where the hazard calls for them.
From weather data to decisions: impact models, AI and workflows.
We start from weather forecasts and observations, then build what they leave out: what a hazard will do to your sites, assets and people, machine learning that learns from what happened, and the tools and workflows that act on the result.
From forecast to decision.
Four layers, from weather data to the people who act: AI/ML, operational context, and the workflows that deliver it to the people who act.
Forecasts are the starting point. Our work is what comes after: what that weather means for one site, one crew or one asset, and what to do about it.
Each layer turns raw forecast data into something a team can act on.
AI and machine learning
Models that learn from what actually happened and convert a hazard into its expected impact on people and assets.
Operational context
Sites, assets, work types, exposure and thresholds: what decides whether a given hazard matters to your organization.
Products and workflows
Alerts, approvals, records, APIs and integrations that put model output into daily operations, as ready products or built around your process.
Where the modeling goes next.
Higher-resolution weather data is in development, to carry forecast detail down to a single site. It is not yet part of any product.
Global simulations resolve the atmosphere in fine detail. The open question is how much of that detail still holds when the question shrinks to one building.
An open research question, not yet a product.
Illustration: NASA GEOS-5 global atmospheric model output (William Putman / NASA Goddard Space Flight Center, public domain). A NASA model run shown for illustration only; Tempra did not build or run this model, and its products do not use it.
Rigorous underneath. Plain on the surface.
Forecasts, observations and models do the heavy lifting in the background. What reaches your team is a recommendation it can explain, question and defend.
The forecast is the input. The operational decision is the product.
Make scope and uncertainty visible.
What a technical buyer should ask any weather-intelligence vendor, and what we answer.
What is measured?
Which inputs are forecasts, which are calculated, and which are observed outcomes.
What does a score mean?
A ranking, a calibrated probability, a dollar range or a health tier: we say which, and never mix them.
How current is it?
Issue time, valid period and refresh behavior for every source, and what happens when data is missing.
How is it evaluated?
Replays against past events, with misses and false alarms counted, before anyone relies on it.
Who acts?
Your people. Tempra supports the decision and keeps the record; it does not make the call.