Zarv
Zarv Signal

Risk moves. So does pricing.

Continuous monitoring of behavior, location, and exposure. Pricing that tracks reality.

Policy issued in January. By June, the driver moved to a high-risk zone and drives at night. The insurer doesn't know. The premium didn't change.

34x
Faster mitigation
$6M
Theft prevention saves
93%
Vehicle recovery
99.9%
Uptime SLA

Continuous intelligence. Not periodic check-ins.

GPS + LPR + mobile data, real time.

Continuous Behavioral Monitoring

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.

Common tools deliver tracking — position and speed. Signal delivers intelligence: what those data points mean for this contract's risk.

Adaptive per individual, not static per region.

Dynamic Geofences

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).

Static geofences generate false positives. Signal solves this with per-individual geofences — not per-region.

Alert before the incident.

Real-Time Anomaly Detection

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.

Prevention is cheaper than recovery. 34x faster when the alert arrives before the incident.

Alerts with context, not noise.

Predictive Alerts

Push via API, webhook, or dashboard. Configurable thresholds by event and severity. Integration with SIEM, CRM, and claims workflow. Automatic escalation when anomaly persists.

An alert without context is noise. Signal delivers alerts with behavioral context — the operator knows why the vehicle was flagged and what to do.

Reprice based on real behavior.

Usage-Based Insurance (UBI) & Repricing

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.

Low-risk drivers get reduced premiums, increasing retention. Drivers who worsened get repriced before they file a claim.

Monitor the asset, not just the borrower.

Early Default Detection

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.

Lenders monitor the borrower, not the asset. Signal monitors the asset — and detects when behavior suggests the contract is at risk.

In practice.

Auto Insurance

Mid-term repricing — driver switches to delivery app

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.

Credit & Lending

Collateral monitoring — vehicle being prepped for irregular sale

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.

Fleet

Operational anomaly — corporate vehicle for personal use

Discovered during maintenance audit. Odometer doesn't match reported usage.

Personal use anomaly flagged automatically → report generated → fleet manager enforces internal policy.

Proven results.

34x faster mitigation

Predictive alert vs. reactive response

$6M in theft prevention saves

TagPro — 2024

93% vehicle recovery rate

vs. 45% market average

↓ Loss ratio

Fewer incidents = lower loss ratio

Proven at scale.

TagPro

Insurer · Auto Insurance (B2C)

$6M
in theft prevention saves in 2024
93%
vehicle recovery rate
+3pp
gross margin increase (YoY)
1

New clients onboarded via Zarv ID (KYC + scoring)

2

Portfolio monitored in real time via Zarv Signal

3

Losses investigated via Zarv Lens with evidence generation

Arval / BNP Paribas

Leasing + Self-Insurance · Corporate Fleet (B2B)

85%
vehicle recovery rate
18%
reduction in fraud premiums
Auto
automated claims management
1

Fleet monitored continuously via Zarv Signal

2

Claims reconstructed automatically via Zarv Lens

3

Zarv ID integration underway for new lessee onboarding

Ready to integrate.

REST API + Webhooks for real-time alerts
Mobile SDK for in-app integration
Compatible with existing telematics (OBD, embedded GPS)
Operations dashboard included (white-label available)

Per asset / month (recurring SaaS). Minimum volume per contract. Volume discounts available.

Security & Compliance

Your data, protected by design.

GDPR & CCPA compliant by design
SOC 2 Type II aligned infrastructure (certification in progress)
End-to-end encryption (TLS 1.3 + AES-256)
Role-based access control (RBAC) with MFA
Full audit trail for every API query
Data retention policies with auto-purge
Privacy by design — sensitive data never stored
Penetration-tested quarterly by third parties
Incident response SLA < 24 hours

See risk before it costs you.

GDPR & CCPA Compliant · No commitment · Integration in days