Solutions · Robotics & humanoids

Robots and humanoids, finally insurable.

YAS scores each machine live from its telemetry — the risk signal a licensed insurer needs to cover what standard policies never could. Per unit, per deployment.

See the case study
100
patrol robots live with AIMO
8
failure modes beyond standard cover
<200ms
per-unit risk scoring
TBD
anomaly-to-settlement — confirm + source
The gap

Traditional insurance can't price the way autonomous machines fail.

Delivery bots, warehouse AMRs, port cranes and humanoids are already deployed across Asia — almost all of them uninsured. Traditional underwriting rests on three things: hard evidence of a loss, risks that fail independently, and a base rate that holds for a year. Autonomous machines break all three, and there's no actuarial history for a machine that's never existed — so the risks that matter most are the ones a standard policy can't even see.

YAS ingests, processes and scores sensor data from robots to provide the input a licensed insurer needs before it can underwrite the risks.
risk typelegacy insurancewhat's left exposedsensor data captured
Physical damage & theftCovered
Repair & warrantyCovered
Third-party liabilityCovered
Decision riskNot Covered"The robot chose a harmful path" — no such clause exists.Disengagements · near-miss rate
Fleet-wide failureNot CoveredOne firmware push downs a hundred units — one event, not a hundred claims.Version manifest · rollout radius
Sensor degradationNot CoveredRisk climbs before any incident — there's no claim to file.Calibration drift · sensor health
Adversarial & cyberNot CoveredThe loss looks ordinary; the cause hides in the data.Command integrity · sensor anomaly
Model & version driftNot CoveredEach software update resets the risk; an annual price is stale in a sprint.Build version · distribution shift
ODD breachNot CoveredRisk spikes the moment a machine leaves its safe envelope.Geofence · operating context

Physical damage & theft

Covered

Repair & warranty

Covered

Third-party liability

Covered

Decision risk

Not Covered

"The robot chose a harmful path" — no such clause exists.

Disengagements · near-miss rate

Fleet-wide failure

Not Covered

One firmware push downs a hundred units — one event, not a hundred claims.

Version manifest · rollout radius

Sensor degradation

Not Covered

Risk climbs before any incident — there's no claim to file.

Calibration drift · sensor health

Adversarial & cyber

Not Covered

The loss looks ordinary; the cause hides in the data.

Command integrity · sensor anomaly

Model & version drift

Not Covered

Each software update resets the risk; an annual price is stale in a sprint.

Build version · distribution shift

ODD breach

Not Covered

Risk spikes the moment a machine leaves its safe envelope.

Geofence · operating context

How YAS scores robots

From first unit to live coverage in three steps.

Connect the fleet. Let the ARIA engine score it. Coverage and payouts follow the telemetry, not the calendar — YAS supplies the signal, the licensed insurer sets the price.

Step 01

Connect the fleet

Push operational telemetry into the YAS API — ROS middleware, vendor SDKs, IoT gateways, fleet-management platforms. Coverage activates per unit, per deployment, the moment a robot comes online.

Step 02

Score each unit

Movement, load, environment, sensor health, software version — the ARIA engine reads them as a single risk signal and scores each unit against its own behaviour, not the fleet average. As the fleet runs, that signal becomes the loss history this category never had.

Step 03

Pay out on triggers

Threshold breach, collision, overload, environmental anomaly — the telemetry fires the insurer's pre-authorised response: an alert, a policy adjustment, or an automatic payout. The operator doesn't fill in forms; the data does.

From signal to cover

From a live risk score to protection legacy can't price.

The ARIA engine scores each unit from its telemetry — and that one signal is what an insurer prices against. So coverage can finally reach the emergent failures standard policies were never built to hold. Traditional cover comes included, table stakes off the same signal.

Live risk scoring

The ARIA engine reads each unit's telemetry — movement, load, sensor health, software version — and turns it into a live per-unit risk score. That one signal is the input every downstream price, policy and payout is built on.

Correlated, fleet-wide failure

One firmware push or model update can down a hundred units at once. YAS reads the rollout's blast radius as it spreads, so an insurer can price the aggregated event standard policies can't hold.

Autonomous-decision liability

When the machine's own decision causes harm — "the robot chose a harmful path" — the planner and disengagement logs score the exposure, so the licensed insurer can cover a risk no standard clause was written for.

Cyber & adversarial

Spoofing, jamming, sensor manipulation, remote takeover. Anomaly patterns in the live stream flag the event and trigger protection legacy motor cover never contemplated.

Parametric payouts

Sensor thresholds and anomaly triggers fire the insurer's pre-authorised payout directly — anomaly to settlement in hours, the scoring engine doing the work no claims form could.

Standard cover, included

Physical damage, third-party liability, repair and warranty come as table stakes — priced off the same live signal, not a separate annual quote.

Live deployment

100 patrol robots across Hong Kong, already live.

AIMO runs a security-robot fleet across commercial properties in Hong Kong. YAS reads telemetry; YAS Assurance sits on top of Zurich's standard cover as the reserve-backed tail-risk layer — built for the eight failure modes a standard policy was never written for.

Robotics & autonomous systemsLIVE
Read the AIMO case study
In partnership with
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Questions

Quick answers before you deploy.

What gets covered, what gets priced, what the API expects.

What kinds of robots can YAS price?

Delivery and sidewalk robots, warehouse AMRs, port cranes, service and hospitality bots, industrial arms, and humanoids. Anything that streams operational telemetry — directly or through a fleet manager — can be onboarded.

How does per-unit pricing actually work?

Each robot is registered via the API and given its own risk profile — type, environment, operational parameters. YAS scores it; the licensed insurer prices off the score. Coverage activates one unit at a time, so the fleet doesn't get a blanket policy — it gets a portfolio of individually scored, individually priced units.

What telemetry do you accept?

Any sensor stream, ROS middleware feed, fleet management platform, or IoT gateway. Movement, load, environmental readings, operational state, software version — all normalised into YAS's risk model.

How are parametric payouts triggered?

Configurable rules watch the live telemetry streams. When a threshold is crossed — collision, overload, environmental breach, software regression — the system fires the insurer's pre-authorised response: an alert, a policy adjustment, or a payout, without manual adjudication.

Where is coverage available?

YAS operates through locally licensed insurer partners across multiple markets. Each territory pairs with a regulated underwriter, so the policy stays compliant where it's issued.

What's the minimum fleet size?

From ten units through to enterprise deployments of 5,000+. Smaller pilots are welcome — the platform was built to grow with the deployment, not to require it upfront.