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Inferix
Insurance

AI compute for insurance — provable and in-jurisdiction.

Catastrophe modeling, claims automation, underwriting, and fraud detection all need serious GPU compute — and increasingly, proof of where policyholder data was processed. Inferix gives insurers elastic GPUs with data residency and cryptographic attestation built in.

GDPREU AI Act (automated decisions)State insurance data rulesAuditable execution

Built for the workloads insurers actually run

Compute-heavy, data-sensitive, and increasingly regulated.

Catastrophe & climate risk modeling

Run compute-heavy cat and climate simulations on real RTX/datacenter GPUs from the marketplace — burst to the capacity a hurricane season needs, then release it.

Claims automation

Document, image, and damage-assessment models process claims faster — with policyholder data kept inside the jurisdiction you’re allowed to operate in.

Underwriting & pricing

Train and serve risk and pricing models on your own data. Every run is metered per service so you can see exactly what a model costs to build and operate.

Fraud detection

Detect fraudulent claims with models running on auditable, attested compute — a defensible record for regulators reviewing automated decisions.

The controls a regulated insurer needs

Real, shipped platform capabilities — not roadmap promises.

Data residency

Pin workloads to approved regions. Policyholder PII never leaves the jurisdiction — enforced at rent time, not just promised.

Geo-attestation

Proof-of-Render cryptographically verifies the hardware, and region attestation shows where each workload ran — provable execution for insurance regulators and the EU AI Act’s automated-decision rules.

Elastic GPU marketplace

Rent exactly the GPUs a modeling run needs, when you need them — no idle datacenter, no single-vendor lock-in.

Model risk without moving your data.

Tell us about your catastrophe, claims, or underwriting workloads and we’ll scope a sovereign-compute deployment that keeps regulators — and your data-protection team — comfortable.

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