RAVIN SONAR™ for underwriting

Find underwriting risk without adding customer friction.

A hidden intelligence layer for digital motor insurance journeys, built to surface misrepresentation, risk drift and evidence gaps while good customers keep moving.

Better risk selection without turning every quote, change or claim into manual review.

RAVIN SONAR™ · Underwriting layer
Risk selection intelligence
No added friction
The journey stays fast.

SONAR runs behind the scenes and flags only what deserves attention.

Use drift
Timing
Evidence
Portfolio
Added customer steps
0
Risk signals connected
100+
Use drift Declared vehicle use starts to look inconsistent.
High
Timing anomaly Policy activity appears unusually close to loss.
Med
Evidence gap Vehicle proof is incomplete or hard to reconcile.
Med
Claim echo Claim facts challenge the original risk profile.
New
Trusted by global brands

Built for enterprise insurance environments.

Global insurers, fleets and mobility leaders rely on RAVIN to turn vehicle evidence into operational intelligence.

Hertz
Guidewire
Sapiens
IAG
Mercedes-Benz
Toyota
Avis Budget Group
Shell
Sompo
NRMA
Openlane
KAR Global
SOC 2 attestation Security controls for enterprise review.
GDPR-ready workflows Built for regulated data handling.
ISO 27001 aligned Security program alignment.
Enterprise integration Designed for controlled deployment.

Keep the digital journey effortless. Add the intelligence layer that knows when the risk story changes.

The hidden underwriting layer

Risk often enters before the claim exists.

Declarations, policy changes, vehicle evidence and claim facts all carry signals. SONAR connects them into one underwriting risk view.

Protect automation without slowing it down.

At quote Declared use, drivers, garaging, mileage and vehicle identity.
After bind Changes to cover, driver profile, address or vehicle facts.
At capture Images, documents, condition and evidence quality.
At claim Claim facts that expose risk selection gaps.
Across portfolio Patterns by segment, channel, product or workflow.
Fits existing journeys Works behind quote, policy and claim flows.
Vehicle-first AI Built on RAVIN’s inspection and damage foundation.
Human review where needed Escalates patterns, not every customer.
Enterprise controlled Use-case activation and protected logic.
High-value use cases

Concrete enough to matter. Broad enough to fit your book.

Start where exposure is most visible: usage, timing, evidence, condition or portfolio feedback.

Use risk

Declared use vs real-world use

Surface signs that the vehicle is being used differently from the accepted risk.

Policy drift

Risk changes after bind

Watch drivers, address, cover, usage and vehicle details as exposure changes.

Evidence

Vehicle proof that does not align

Identify missing context, mismatch, weak evidence or inconsistent vehicle data.

Timing

Suspicious sequence of events

Connect quote, policy, benefit, evidence and claim timing.

Vehicle truth

Condition, mileage and value

Bring VIN, odometer, damage and condition into underwriting decisions.

Portfolio loop

Claims that improve underwriting

Feed recurring evidence patterns back into pricing, rules and controls.

Connected SONAR

One intelligence layer. Separate risk views.

Underwriting sees selection and portfolio exposure. Claims sees leakage and settlement risk. SONAR connects both.

Controlled access

Request an underwriting SONAR preview.

Tell us where risk is entering your journey. We will share more after use-case fit and qualification.

Access depends on use case, legal review, operational readiness and commercial fit.