Live2023
EV & Commercial Fleets
Electric and commercial fleets at scale.
Fleet operators running EV taxis, logistics vehicles, and mixed commercial assets. Live telemetry covers every driver, every shift.
We operate the AI layer that prices, monitors, and manages risk across the machine economy — from electric and commercial fleets to autonomous vehicles, robotics, and industrial assets.
Focus areas
In production today across electric vehicles and fleets — and expanding to robotics, humanoids, and beyond.
EV & Commercial Fleets
Fleet operators running EV taxis, logistics vehicles, and mixed commercial assets. Live telemetry covers every driver, every shift.
Robotaxi & AV
Continuous risk scoring per vehicle, per route, per operating condition — read from real behaviour, not actuarial approximations.
Humanoid Robots & Industrial
As humanoid robots move from warehouses to public-facing operations, traditional liability frameworks break down. We build the risk layer from first principles.
Urban Mobility Infrastructure
Mixed-mode urban environments with autonomous, electric, and human-driven assets operating together require a unified risk-intelligence layer.
The YAS protocol
Every machine streams what it's doing. YAS turns that into a clear risk score — so insurers can price it, operators can improve it, and regulators can trust it.
Machine signals — streaming
Outputs — scored, documented, auditable
Use cases
Three core product surfaces show how YAS tracks live fleets, predicts claim risk, and scores driver behaviour in real time.
Feature 01
Every active autonomous machine on one map — delivery robots, EV taxis, AVs — with live speed, risk score, and incident flags.
Kilometres of operating data processed
Trips analysed with full telemetry resolution
Active drivers scored in real time
Insurers, fleets and robotics operators running live YAS deployments.
Trusted by Zurich Insurance, Generali, etiqa, Axonex, Rice Robotics, JOIE, TADA and China Taiping.
Signal briefs
Short-form analysis on how live risk signals turn machine risk into something the market can price — across fleets, robotics, healthcare AI, supply chains, and AI agents.
When people list what unlocks autonomous machines, insurance rarely appears — and that read is correct. Insurance follows the technology. The open question is whether it can price the risk fast enough to keep capital flowing, and the bottleneck is data.
Read analysis
As machines move from pilots into daily work, risk teams need a live operating layer that reads context, not a static file after the fact.
Read analysis
Robotaxi and AV programs are moving from technical milestones to repeatable operations. The missing layer is often a trusted evidence loop.
Read analysis
Humanoids will operate around staff, visitors, inventory, and changing floor plans. That makes context the core design problem.
Read analysisFleet operator or insurer — if machine risk is your problem, YAS turns it into a signal you can act on. Let's talk.
