Solutions · Autonomous vehicles

When a machine takes the wheel, motor insurance breaks.

Robotaxis, highway autonomy, port and logistics AVs — uninsurable on yesterday's policies. YAS reads multi-sensor telemetry, disengagement events, and autonomy-level transitions, then scores L2 through L5 in real time — so insurers can price each mode.

Sensor fusionL2–L5Parametric payouts

The category gap

Motor insurance was written for human drivers. AVs are not human drivers.

Frequency, severity, attribution — every assumption baked into a 50-year-old motor product breaks the moment a machine starts making the driving decisions.

01

The driver is software, not a person

Demographics, licence history, claims history — none of it applies. The thing driving the car is a model release, not a human being.

02

Risk shifts continuously, not annually

An OTA update can change the risk profile of an entire fleet overnight. Annual renewals can't see it. Telemetry can.

03

Attribution is contested

When an L4 disengages and a human takes back control, who was driving? Static policies have no answer. YAS logs every transition.

04

Failure modes are new

Sensor degradation, perception faults, path-planning errors, V2X spoofing — none of these appear in an actuarial table.

How YAS reads autonomous risk

Sensor to score, in real time.

YAS is the protocol; ARIA is the scoring engine. Together they turn raw machine telemetry into a per-vehicle, per-mode risk score the underwriter can price from and defend.

Step 01

Ingest the full sensor stack

LiDAR returns, camera frames, radar, ultrasonic, IMU, GPS, plus V2X messages, disengagement events, autonomy-level transitions and OTA release tags — streamed live, any vendor, any platform.

Step 02

Score by autonomy level

ARIA runs a continuous scoring loop. L2 assist, L3 conditional, L4 high, L5 full — each mode carries a distinct risk surface, and the score reflects which one is active right now.

Step 03

Price, trigger, settle

Threshold events fire dynamic pricing updates, fleet alerts, or parametric payouts. From verified incident to settlement in hours, not months, with no claim form in the loop.

Coverage scope

Built for the way autonomous fleets actually fail.

Six layers across pricing, settlement, fleet analytics and compliance. Every layer reads from the same live telemetry.

Live FPS

Sensor fusion scoring

Real-time risk scoring from LiDAR, camera, radar, ultrasonic and IMU. Every data packet refines the model; every score reflects the actual operational state.

L2–L5 dynamic

Autonomy-level pricing

Coverage that re-prices as the vehicle moves between autonomy modes. L2 assist, L3 conditional, L4 high automation, L5 full autonomy — each priced for its actual risk.

Auto settlement

Parametric payouts

When verified incident conditions are met, payouts trigger automatically. No manual claims, no adjuster visits — anomaly to settlement in hours.

Cross-vehicle ML

Fleet pattern analysis

Cross-referenced data from the full fleet reveals patterns invisible at the single-vehicle level. Predictive risk, not reactive claims.

14 jurisdictions

Multi-market compliance

Regulatory-ready reporting for each APAC market. 14 jurisdictions, local insurer partnerships, and licensed coverage in every active territory.

Immutable trail

Audit-ready data layer

Full audit trail from signal ingestion to settlement. Verifiable data integrity for regulatory review, dispute resolution and compliance reporting.

67
median ARIA score, AV pilots
<200ms
scoring latency
L2–L5
autonomy levels supported
14
APAC markets ready

Proof

Two live deployments. One reserve underneath.

YAS is already in production with EV fleets and robotics operators. The same protocol prices AV pilots from day one — talk to us about your deployment.

See the customer case studies

Questions

Quick answers.

Everything you need to know about AV coverage on YAS.

What autonomy levels are supported?

L2 through L5. Coverage adjusts dynamically based on the operational autonomy level — from driver-assist through fully driverless. Each mode carries a distinct risk profile and is priced accordingly.

What sensor data do you ingest?

LiDAR, cameras, radar, ultrasonic, IMU, GPS and V2X messages via our REST API, plus disengagement events, autonomy-level transitions and OTA release tags. Data is normalised into a unified risk model regardless of hardware vendor or platform.

How does scoring work?

ARIA runs a continuous scoring loop across the fleet. It incorporates live sensor data, environmental context, operational patterns, autonomy mode and historical performance into a single real-time score per vehicle.

How are parametric payouts triggered?

Configurable threshold rules monitor telemetry streams continuously. When verified incident conditions — collision, sensor failure, operational anomaly — cross a trigger point, payouts execute automatically via the settlement engine.

What markets are supported?

YAS operates across multiple markets including Hong Kong, Singapore, Thailand, Vietnam, Indonesia and Malaysia. We work with licensed insurer partners in each territory to ensure regulatory compliance for autonomous operations.

Is this available for pilots?

Yes. We work with early-stage autonomous deployments from pilot programmes of five vehicles through to enterprise-scale fleets. Contact us to discuss coverage for your deployment phase.

The frontier of autonomous risk.

Pilot or production fleet — if a machine is taking the wheel, YAS reads its risk so your insurer can price it.