Universally observable
Every mobile system expresses behavior through physical movement.
Independent measurement for Physical AI
Paverly is building the independent measurement infrastructure that enables objective verification, benchmarking and comparability across Physical AI systems.
Why motion?
Physical AI systems perceive, plan and act through software, but every decision ultimately becomes motion. Measuring that motion independently creates an objective reference outside the machine.
Read the white paperEvery mobile system expresses behavior through physical movement.
A separate reference records what the machine physically did.
Reported state can be reconciled against observed movement.
Repeated observation supports evidence, benchmarking and accountability.
Our technology
TraceQ™ is an independent motion-measurement system designed to observe platform movement outside the primary autonomy stack. It does not reproduce the machine's reasoning; it creates a separate record of what physically occurred.
BoundaryScore™
BoundaryScore™ is a benchmarking framework built on independently measured performance data. It translates verified evidence into transparent, comparable insight across systems, fleets, versions and operating conditions.
Independent governance and disclosed methodology.
Built on evidence reconciled against an external physical reference.
Common methods, context and confidence retained.
Why Paverly?
Independent motion measurement purpose-built for Physical AI.
The benchmark transforms verified evidence into comparable insight.
Regulators, insurers, customers, researchers and the public gain a common reference.
Applications
Vehicles, shuttles, freight and delivery systems.
Warehouses, yards, construction and agriculture.
Mobile robots, humanoids and task-specific machines.
Drones, unmanned platforms and new physical agents.
Evidence for insurers, automakers, fleets and other risk stakeholders.
Physical AI Intelligence
Across the ecosystem, different voices are converging on the need for objective, independently verified performance evidence.
Regulation
Regulators increasingly require structured evidence, operational data and real-world validation.
Standards
New standards activity points toward common definitions, testing and reporting.
Public confidence
Public and professional stakeholders are asking who verifies developer-generated claims.
Research
Academic work increasingly emphasizes exposure, context and comparable evidence.
Insurance
Underwriting and claims decisions require clearer performance and software-version data.
Government
Government attention is moving toward testable behavior and operational accountability.
Resources
Independent measurement, validation and applications across Physical AI.
Frequently asked questions
Clear explanations of what Paverly is building, how the pieces fit together and what is—and is not—available today.
Independent measurement infrastructure for Physical AI, beginning with motion measured outside the machine.
An independent motion-measurement system that creates a separate physical record for comparison with machine-reported state.
An independent benchmarking framework that converts verified evidence into transparent, comparable performance insight.
Because the benchmark depends on the independent measurement infrastructure Paverly is building and operating.
No. Early conversations and Jumpstart participation do not imply endorsement, certification, evaluation or any public rating.
Paverly is building toward initial availability in 2027.
Jumpstart
Jumpstart is an invitation to learn, collaborate and provide feedback as the platform is developed. Participation does not imply endorsement, certification or evaluation.