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Solutions

The challenge isn't data.It's defining risk —and putting it to work.

We provide robot and technical support, AURA scoring, and support for insurer pricing workflows — then apply them in the operating contexts where your machines already run.

AEGIS

We help operators and platform partners plan deployments, integrate live machine feeds, and keep fleets reviewable as they scale — from pilot sites to production routes.

  • Scope the deployment: sites, units, data sources, and coverage partners.
  • Wire live machine behaviour into one evidence trail operators can act on.
  • Support day-two operations with technical review as fleets expand.

Where it applies

  • Security robots
  • Drones
  • Humanoids
  • Delivery & logistics
Security robot on patrol in a commercial facility.
Live fleet map with active vehicles and risk indicators.

AURA

AURA ingests telemetry across fleets and robotics, normalises it, and scores behaviour so operators, platforms, and licensed insurers share the same auditable view — without moving underwriting authority.

  • Ingest from OEM feeds, telematics, and edge SDKs into one model.
  • Score trips and units with factors partners can review.
  • Export evidence for operations, diligence, and insurer workflows.

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.

Where it applies

  • EV fleets
  • Security robots
  • Robotaxi & AV
  • Drones

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

LIBRA

YAS turns scored behaviour into inputs licensed insurers can use to support dynamic and usage-based pricing.

  • Support per-kilometre and behaviour-linked rating with live evidence.
  • Keep factor-level views actuaries and underwriters can diligence.
  • Authority stays with the licensed insurer — always.

Where it applies

  • EV fleets
  • Security robots
  • Robotaxi & AV
JOIE electric taxi on a Hong Kong street — live behaviour scored for pricing support.

Where it applies

See where the solutions apply.

Contexts show how the same three solutions land in the worlds where machines already run.

Who it is for

Choose the path that matches your role.

Operators, insurers, and platforms each get a clear way in.

01

For operators

Fleet and robotics operators see risk per unit and driver, live — coach behaviour before losses land.

  • Risk per unit and driver, updated as operations run.
  • Coach behaviour before claims accumulate.
  • Share an evidence trail your insurer and partners can review.
02

For insurers

Licensed insurers get a scored, auditable view of live behaviour — authority stays with the insurer.

  • Price on live behaviour you can explain.
  • Factor-level views your actuaries can review.
  • Authority stays with the licensed insurer — always.
03

For platforms

Builders get a diligence-ready record of machine behaviour partners and capital can review.

  • An auditable record others can diligence.
  • Faster partner and capital conversations.
  • A shared score operators and insurers can act on.

How it works

Measure. Score. Price fairly. In real time.

Risk should move with the operation — not lag a year behind it. Safe operators are rewarded 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.

Tell us your deployment.

We reply within 48 hours.