Earth Observation · Risk Intelligence · Building Toward Pilot
A B2B API that turns satellite imagery into a risk decision an insurer can act on — without a site visit.
Insurers price and pay claims on properties they often can't see. Today that means manual inspections, stale data, or guesswork — slow, costly, and inconsistent.
Pricing and claims decisions that require someone on-site: slow, costly, and impossible to scale.
Insurers working from outdated surveys, desk estimates, or guesswork on property condition and exposure.
Without a standardised assessment, risk is priced differently by every underwriter for the same property.
No scalable way to evaluate a property's hazard exposure and condition without physical presence.
Inspection bottlenecks stretch turnaround from hours into days or weeks — a cost and experience problem.
Send an address or coordinate. Receive a structured risk assessment — embedded directly into your underwriting or claims workflow.
Derived from satellite imagery and spatial datasets — no manual survey required.
Authoritative spatial overlays for the three primary property perils in South Africa.
A single score with a confidence value and the components behind it — explainable, never a black box.
The data behind the score — what was used, when it was captured, and where it came from.
Four steps from request to decision. No geospatial tooling required on your side.
Send a POST /assess request with a property address or coordinate pair and your API key.
We resolve the property geometry, run hazard overlays, and extract attributes from satellite data.
A structured JSON response: score, confidence, components, attributes, hazard exposure, and evidence references.
Embed the result directly into your underwriting, claims, or portfolio review workflow — no raw imagery, no GIS.
Real assessments. Real areas. Gauteng — scored from satellite and open spatial data.
Wind/storm zone tooltip shows the underlying data source — Open-Meteo historical archive, CC-BY 4.0. Every factor is traceable to an authoritative dataset.
Satellite basemap with risk overlays. Fire/veld dominates at 0.49 exposure. Five perils scored independently — flood, fire, hail, wind, and dolomite.
Street-level view with live peril overlays. Flood corridors and medium-risk cells visible across the Sandton–Alexandra corridor.
Dolomite risk (brown) dominates the western areas. Flood exposure along the Rietvlei corridor. Five perils scored — confidence 0.9.
Start with a low-commitment evaluation. Convert to an annual plan once it's embedded in your workflow.
Pay per property scored. No long-term contract required. Ideal for evaluating the platform before integration.
Once integrated into your underwriting or claims workflow, a predictable annual plan. Product D (Water/Drought Risk) is a pure upsell on the same integration.
The same scoring engine pointed at different perils. Adding Product D requires no new integration from existing customers.
Roof, footprint, vegetation, and hazard exposure → a property risk score. The primary product, actively building toward pilot readiness over one South African metro.
POST /assess — address or coordinatesThe same scoring engine turned toward soil moisture, drought stress, and water-body levels. Sold to the same insurers and reinsurers as a zero-integration-cost upsell.
Send an address. Receive a risk decision. No site visit, no geospatial tooling, no guesswork.
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