ClimateExpert is a geospatial AI platform that forecasts climate events months ahead, asset by asset, on a 25 × 25 km grid: droughts 1–3 months out with 90% accuracy, floods 1–6 months out with 88%. Every forecast is published in advance, then shown next to the fact.
Hazardous weather events grow 8–9% a year. Loss tables built on history systematically misprice today's risk.
ECB & EBA climate stress tests, IFRS 9 provisioning, Solvency II and ORSA all demand quantified physical climate risk.
Scenario platforms describe the year 2100 for disclosure. Underwriting, renewals and credit decisions happen this season. ClimateExpert operates exactly there: 1–12 months ahead.
Portfolio on the map, per-asset probabilities, alerts and one-click reports, recorded on the live system.
The product video is being recorded.
Request a live walkthrough and we will show the platform on a call.
Upload your assets: sites, fields, plants, pipelines. The platform answers the questions a risk team actually asks.
ML probabilities per asset for each hazard, with traffic-light scoring and differentiated tariffs by risk level.
Portfolio map with geographic risk concentrations and probable maximum loss for catastrophic scenarios.
Seasonal outlooks moved cat reinsurance pricing by 15–20% at the 2026 mid-year renewals (TSR). Hold an asset-level signal and justify your reinsurance structure to the board and the regulator.
The platform confirms the natural event and shows the insured asset inside the impact zone, automating first-pass claims verification.
Forecasts recompute as new data arrives. Alerts fire when an asset's risk shifts past your threshold, in-app and by email.
CSV, XLSX and PDF exports for a region or a portfolio. The PDF includes the map and risk tables, a ready document for the board or the regulator.
The same engine screens investment projects for climate risk at one of Eastern Europe's largest banks.
On-premise deployment with integration into internal systems, role-based access and team training. Portfolio data never leaves your infrastructure.
Forecasts are published in advance and later shown next to the fact. The free month includes a backtest on your own loss history.
Drought materialised where predicted, six weeks after the forecast was published.
No drought, as predicted. Opposite outcome to region A, both correct.
Also on the map: permafrost degradation and earthquakes as historical-event layers with probabilistic hazard assessment. Models run on ERA5 / Copernicus / GFS, radar and station data, with EM-DAT, CRED and NOAA event records, using ensemble and deep-learning methods.
Our 2024 seasonal flood forecast was published 30 days before a major river flood and confirmed by satellite imagery: street-level flood extent and water depth, exactly where predicted.
How much seasonal outlooks moved catastrophe reinsurance pricing at the 2026 mid-year renewals.
Avoidable losses at a single dam in a single year under forecast-based drought operation.
Your number depends on your book. The result of applying the technology: smoother financial results through catastrophe scenarios, optimised reinsurance spend, stronger capital adequacy, and the ability to work in regions once considered too risky.
The market sells climate analytics through opaque enterprise quotes. Our tier structure is open, and the trial costs nothing.
Quotes depend on portfolio size and deployment. Custom hazard layers, for crops or building types, are scoped individually.
The first month is free and includes an accuracy backtest on your own loss history. No company data enters the system.