Auto Insurance (B2C)
- 1New clients onboarded via Zarv ID (KYC + scoring)
- 2Portfolio monitored in real time via Zarv Signal
- 3Losses investigated via Zarv Lens with evidence generation
Continuous monitoring of behavior, location, and exposure. Pricing that tracks reality.
The price was set on day 0. Drag the timeline and see what happens to the risk over the next 90 days.
Without Signal: The insurer only finds out at renewal — or at the claim.
Everything within the pattern so far.
Illustrative simulation. Values are not from a real customer.
Common tools deliver tracking — position and speed. Signal delivers intelligence: what those data points mean for this contract's risk.
Continuous feed of GPS, LPR/OCR cameras, and mobile device data. Full trajectory history with speeds, schedules, and zones. Real-time dashboard or API. Weekly/monthly behavior reports.
Static geofences generate false positives. Signal solves this with per-individual geofences — not per-region.
Geofences created based on each driver/vehicle profile. Alerts when the vehicle deviates from expected patterns. Distinguishes behavior change from one-time events (business trip vs. systematic deviation).
Prevention is cheaper than recovery. 34x faster when the alert arrives before the incident.
Models trained by usage type (personal insurance, corporate fleet, financed). Alerts when usage deviates from baseline. Classification: observe / investigate / act. Examples: night routes in high-risk zones, abnormally slow speed (possible tow), vehicle at theft-associated locations.
An alert without context is noise. Signal delivers alerts with behavioral context — the operator knows why the vehicle was flagged and what to do.
Push via API, webhook, or dashboard. Configurable thresholds by event and severity. Integration with SIEM, CRM, and claims workflow. Automatic escalation when anomaly persists.
Low-risk drivers get reduced premiums, increasing retention. Drivers who worsened get repriced before they file a claim.
UBI isn't just insurance by mile. It's repricing based on real risk. Monthly score updates. Output: adjustment recommendation per contract with justification. Compatible with renewal or mid-term adjustment. API for policy system integration.
Lenders monitor the borrower, not the asset. Signal monitors the asset — and detects when behavior suggests the contract is at risk.
Monitors financed vehicle behavior against expected patterns. Flags default intent: atypical usage, unreported transfer of possession, vehicle in area different from contract. Alert to collections before the first missed payment.
Insurer discovers at renewal (12 months). Already paid claims for a risk it didn't price.
→Anomaly detected in month 3. Alert to risk team. Options: contact client, issue coverage extension, adjust premium mid-term.
Default arrives as a surprise. Asset already moved.
→Suspicious behavior flag: vehicle in different neighborhood, parked at atypical locations → alert to preventive collections → contact before missed payment → refinancing or recovery.
Discovered during maintenance audit. Odometer doesn't match reported usage.
→Personal use anomaly flagged automatically → report generated → fleet manager enforces internal policy.
Use the telematics you already have and start from the dashboard.
Alerts, routes and a score per vehicle, ready for your team — white-label if you want it.
Real-time alerts in your policy, collections or claims system — in minutes with our ready-made prompts.
Existing OBD and embedded GPS, LPR cameras, and a mobile SDK for your customer's app.
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