Risk intelligence forthe machine economy.

We turn live driving and machine data into a risk score in real time. Fleet teams use it to improve driver safety, while insurers use it to underwrite risk more fairly.

Our approach

We're changing the way risk is measured and priced. In real time.

Risk should move with the operation — not lag a year behind it. When pricing responds to live behaviour, safe operators are rewarded fairly as they run, and licensed insurers keep authority over every decision.

01

Measure

We read how each machine actually behaves, in real time — every trip, every shift.

02

Score

That behaviour becomes one live risk score, built on what happened, not assumptions.

03

Price fairly

Operators run safer and licensed insurers price more fairly — authority always stays with the insurer.

Insurers, fleets and robotics operators running live YAS deployments.

Trusted by Zurich Insurance, Generali, etiqa, Axonex, Rice Robotics, JOIE, TADA and China Taiping.

The YAS protocol

YAS turns machine data into evidence you can trust.

Every machine streams what it is doing. YAS turns that into a clear risk score — so insurers can support pricing, operators can improve, and regulators can trust the evidence.

Machine signals — streaming

GPS & position
Speed events
Hard braking
Sharp cornering
Weather
Road & route

Outputs — scored, documented, auditable

AURA score
Risk narrative
Coaching flags
Audit notes

Who it's for

Improving business outcomes for our partners carrying machine risk.

Operators, insurers, platforms, and regulators act on the same live score. Here's what changes for each.

Fleet operators

Robotaxis, EV fleets, and robotics operators turn live machine behaviour into safer operations and clearer economics.

Before YAS

  • Risk stays invisible until a claim lands.
  • Everyone pays the fleet average.
  • Safe drivers subsidise risky ones.
  • See risk per driver and unit, live.
  • Coach behaviour before losses happen.
  • Safer fleets, lower loss ratios.
See the fleet case study

Insurers & underwriters

A scored, auditable view of every risk before pricing or deployment decisions. The actuary sees what the live data shows.

Before YAS

  • Priced on age and demographics.
  • Repriced only once a year.
  • Driven by behaviour no one measured.
  • Price on live behaviour you can explain.
  • A scored, auditable view of every risk.
  • Authority stays with the licensed insurer.

Platforms & builders

Autonomous and robotics platforms need evidence partners can review. YAS turns machine behaviour into a record others can diligence.

Before YAS

  • Risk claims partners can't verify.
  • Evidence scattered or missing.
  • An auditable record others can diligence.
  • Machine behaviour partners can trust.
  • Faster partner and capital conversations.

Regulators & supervisors

Reviewable scores, governance records, and audit trails as autonomous systems move into real deployments.

Before YAS

  • Oversight after incidents, on paper.
  • No view into live behaviour.
  • Live scores and audit trails, on demand.
  • Governance records as systems deploy.
  • Reviewable evidence, not assertions.
0M km

Kilometres of operating data processed

0M+

Trips analysed with full data resolution

0

Active drivers scored in real time

Where we're live

Deployed today. What's next.

In production across electric fleets today, expanding to robotaxis, robotics, humanoids, and mixed urban mobility.

Live2023

EV & Commercial Fleets

Electric and commercial fleets at scale.

Fleet operators running EV taxis, logistics vehicles, and mixed commercial assets. Live driving data covers every driver, every shift.

Scaling2026

Robotaxi & AV

Autonomous vehicles in commercial operation.

Continuous risk scoring per vehicle, per route, and per operating condition, read from real behaviour rather than actuarial approximations.

Expanding2026

Humanoid Robots & Industrial

Robots entering commercial deployment.

As humanoid robots move from warehouses to public-facing operations, traditional liability frameworks break down. We build the risk layer from first principles.

Next2026–2027

Urban Mobility Infrastructure

The city as a risk environment.

Mixed-mode urban environments with autonomous, electric, and human-driven assets operating together need one shared risk record.

Use cases

See the platform in action.

Three product views: live fleet tracking, claim-risk focus, and driver scoring. Plain overview here; full technical detail on the platform page.

01 / 03
Live Machine Tracking
Live machine tracking dashboard with a Hong Kong map, active vehicles, and fleet safety scores.

Feature 01

Live Machine Tracking

Every active machine on one map: delivery robots, EV taxis, and AVs, with live speed, risk score, and incident flags.

Get started

From first conversation to live deployment.

We reply within 48 hours. No template integration.

  1. 01

    Tell us your deployment

    Tell us about your fleet, robots, markets, and data sources. We map the fastest path.

  2. 02

    Pilot in sandbox

    Qualified teams build against reference APIs without touching production.

  3. 03

    Go live with a carrier partner

    Scoring validated against outcomes; the licensed insurer retains authority.

Questions

The questions partners ask first.

Straight answers on AURA scoring, integration, and how YAS works with licensed insurers.

View all FAQs

About YAS

What does YAS actually do?

YAS turns how a machine behaves into one live, explainable risk score — AURA. Operators see where to coach risk down; licensed insurers get a factor-level view that informs pricing. We are the risk-intelligence layer; we are not the insurer.

Do we need to be technical to work with YAS?

No. Many customers start with a conversation — we handle integration scoping and connect you to the right path. Technical teams can use sandbox APIs and developer docs; operators and insurers can work through our partner programme.

Which markets are supported?

YAS works with licensed insurer partners across APAC. Specific market availability depends on the carrier programme — tell us your deployment geography and we'll confirm.

AURA & scoring

What machines can you score?

Today: commercial EV fleets and robotics deployments, with autonomous-vehicle pilots expanding as markets open. The same scale applies across machine types — see the roadmap for what's next.

Integrating

Can we try the API before committing?

Yes. Qualified pilots get sandbox credentials and reference docs to build against without touching production. Start at the developer hub or talk to our technical team.

How does data get into YAS?

Through certified telematics connectors, our edge-capture SDKs, or a custom feed for non-standard schemas. Trip and telemetry data is normalized into the ODD Engine before scoring.

Trust & data

How is our data protected?

Encryption in transit and at rest for production systems, role-scoped access, and audit trails on scoring outputs. See Trust & Safety for the full programme, and request our DPA for contractual terms.

Who holds underwriting authority?

Always the licensed insurer. YAS provides decision support — scores, explanations, and attestation records. A qualified person makes the final call.

Fleet operator or insurer? Let's talk.

If machine risk is your problem, YAS turns live behaviour into evidence you can act on. See the platform for how it works, or contact us to scope a deployment.