Three data products, one platform. Atlas United grades every U.S. address across 54 perils. AtlasCast forecasts 10 storm perils to each one, refreshed four times a day. TrueFixR storm data shows where damage has already hit. The risk a property carries, the storm coming for it, and what it left behind.
Our deterministic peril model spans 282.9 million addresses across 54 perils, calibrated against two decades of observed severe events and a sixteen-day forward layer. Every score is timestamped, versioned, and accompanied by a reason code — patent claim 30, USPTO 64/070,786 — built to survive regulatory examination.
Single call, batch CSV, or streaming. Rooftop geocoding plus parcel-shape resolution where assessor records exist.
Fifty-four peril layers, climate normals, and historical events. Each value is timestamped, versioned, and cached to a parcel hash.
Letter grade, percentile rank, top contributing perils, and full methodology trace — all in one sub-200ms response.
/v1/risks/fast — single-PK lookup at carrier scale.From acute hurricane risk to chronic heat-stress trajectories, every peril is normalized to a 0–100 percentile and an A–F grade with full methodology trace.
Static grades tell you what a property is. AtlasCast tells you what's coming — a live, per-address severe-weather forecast built on federal weather models, refreshed around the clock.
Grades tell you what a property is. AtlasCast tells you what's coming. TrueFixR storm data tells you what already hit. Use one, or all three through the same API.
A deterministic A–F grade and 0–100 percentile for every address across 54 perils, with the model version and methodology trace on every response.
Trained machine-learning forecasts for 10 storm perils, scored against 282.9M U.S. address points and refreshed four times a day from NOAA weather models.
Address-level storm-damage leads and event history, built for roofers, restoration crews, adjusters and emergency management offices that want the data itself.
Atlas United is engineered for the workflows that actually price and accept risk: actuarial, underwriting, accumulation management, and public-program design.
Underwrite admitted books with a rate-filable peril score and accumulation control at policy inception.
For carriersStand up new programs faster — surplus, parametric, and niche peril MGAs use Atlas as their primary risk lens.
For MGAsPortfolio rollups, PML/AAL benchmarking, and cession-quality validation for treaty pricing and ILS structuring.
For reinsurersMitigation grant prioritization, hazard mapping, and BRIC/HMGP application support — auditable, citable, defensible.
For public sectorCitable peril datasets for peer-reviewed climate, housing, and equity research with reproducible methods.
For researchAtlas United is a purpose-built deterministic peril model. Each layer is independently calibrated against decades of observed events and folded into a single audit-ready grade per address — no black-box blending, no proprietary aggregator math.
Legacy stacks were built when peril modeling meant licensing one vendor's black box and trusting the output. Atlas United is a transparent deterministic model with per-field methodology trace — designed for the way underwriters and regulators actually work.
| Atlas United | Verisk / AIR | Cotality | First Street | |
|---|---|---|---|---|
| Transparent methodology | ✓ Per-field | Vendor docs | Vendor docs | ✓ |
| Cited provenance per score | ✓ Per-field | Vendor docs | Vendor docs | Partial |
| Sub-200 ms address API | ✓ p50 ~10 ms | Batch only | Available | ✓ |
| All 54 perils, one schema | ✓ | Fragmented | Fragmented | 5 perils |
| Federal-source citation per response | ✓ Per-field | No | No | Methodology PDF |
| Per-call pricing, no seat fees | ✓ | License | License | Tiered |
30-day evaluation with API keys, sample data for your book, and a deployment engineer assigned to your account.