Universally observable
Every mobile system expresses behavior through physical movement.
Independent measurement for Physical AI
Trust in Motion.
Paverly is building the independent measurement infrastructure that enables traceability and verification of Physical AI performance metrics.
Why motion?
Every decision leaves a trace in the real world.
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 paperIndependently measured
A separate reference records what the machine physically did.
Objectively validated
Reported state can be reconciled against observed movement.
Comparable over time
Repeated observation supports evidence, benchmarking and accountability.
Our technology
Independent measurement. Purpose-built for Physical AI.
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.
Measured vs. inferred motion
InferredDependent on internal sensors, software and assumptions.
MeasuredBounded by an independent physical reference.
BoundaryScore™
The independent verification and assurance framework for Physical AI.
BoundaryScore™ validates existing performance metrics against independently measured physical evidence, preserves traceable verification records and designates qualifying results BoundaryScore™ Verified.
Neutral by design
Independent evidence and disclosed methodology.
Measured, not claimed
Built on evidence reconciled against an external physical reference.
Traceable and actionable
Common methods, context and confidence retained.
Why Paverly?
The measurement company is the natural provider of independent verification.
Paverly develops TraceQ™
Independent motion measurement purpose-built for Physical AI.
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Paverly administers BoundaryScore™
BoundaryScore™ validates defined performance claims against independent motion evidence.
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The ecosystem benefits
Regulators, insurers, customers, researchers and the public gain an independent reference.
Applications
One measurement layer across many forms of Physical AI.
Autonomous mobility
Vehicles, shuttles, freight and delivery systems.
Industrial autonomy
Warehouses, yards, construction and agriculture.
Robotics
Mobile robots, humanoids and task-specific machines.
Emerging systems
Drones, unmanned platforms and new physical agents.
ADAS passenger vehicles
Evidence for insurers, automakers, fleets and other risk stakeholders.
Physical AI Intelligence
Demand for independent measurement is forming now.
Across the ecosystem, different voices are converging on the need for objective, independently verified performance evidence.
Regulation
Global frameworks are moving toward evidence-based safety cases.
Regulators increasingly require structured evidence, operational data and real-world validation.
Standards
Common performance methods are beginning to emerge.
New standards activity points toward common definitions, testing and reporting.
Public confidence
Confidence depends on independent evidence.
Public and professional stakeholders are asking who verifies developer-generated claims.
Research
Measurement gaps are becoming a central research question.
Academic work increasingly emphasizes exposure, context and comparable evidence.
Insurance
Risk models need operational evidence.
Underwriting and claims decisions require clearer performance and software-version data.
Government
Policy is shifting from principles to measurable competencies.
Government attention is moving toward testable behavior and operational accountability.
Sep 18, 2026Regulation
City Transportation Officials Ask NHTSA for Measurable AV Performance EvidenceNACTO
Sep 16, 2026Government
San Diego Council Asks Sacramento to Restore Local Control Over Robotaxi OperationsNewsweek
Sep 16, 2026Public confidence
Minneapolis Councilors Propose Requiring a Human Safety Monitor in Driverless VehiclesFortune
Sep 13, 2026Public confidence
OpenAI, xAI Chiefs Back Anthropic's Call to "Pace the Frontier" with Independent EvaluatorsThe Guardian
Sep 3, 2026Research
Humanoids Are the Hype, Specialized Physical AI Is the Near-Term ValueArthur D. Little
Sep 3, 2026Regulation
DOT Publishes New National Strategy for Automated VehiclesU.S. DOT
Aug 24, 2026Standards
Messy World Emerges for Humanoids, With Safety Role for SensorsFierce Sensors
Aug 20, 2026Research
Humanoid Robot Shipments Up 300% in First Half of 2026Forbes
Aug 2026Public confidence
World Humanoid Robot Games (Beijing) Show Record-Breaking Performance Alongside Control FailuresArs Technica
Aug 2026Regulation
Two Sovereignties, No Junction: A Policy Framework for Independent AV Event RecordsTal Cohen
Jul 31, 2026Regulation
Legal Analysis: AV Deployment Is Accelerating Faster Than OversightHolland & Knight
Jul 31, 2026Regulation
NHTSA Opens Second Docket: First AV Guidance Update Since 2017Federal Register
Jul 31, 2026Regulation
NHTSA Opens Public Comment on Commercial AV ExemptionsFederal Register
Jul 30, 2026Standards
NHTSA Begins Developing First National AV Performance StandardsNHTSA
Jul 30, 2026Public confidence
Safety Community Challenges Reliance on Industry-Led AV StandardsAdvocates for Highway and Auto Safety
Jul 28, 2026Government
FCC Adds Chinese-Made Humanoid/Quadruped Robots and Power Inverters to Import Covered ListReuters
Jul 9, 2026Regulation
DOT's 2026 Agenda Signals an Accelerated AV Rulemaking TrackSidley Austin
Jul 8, 2026Regulation
NHTSA Administrator letter to ADS developersNHTSA
Early Jul 2026Insurance
UK Law Firm Publishes AV Act 2024 Liability GuidanceJackson Boyd LLP
Jun 26, 2026Regulation
NHTSA Proposes FMVSS 135 Brake Rule Update, Withdraws AV STEP ProgramCrowell & Moring
Jun 24, 2026Research
Automotive Suppliers Move Into Humanoid RoboticsAutomotive News
May 22, 2026Government
House T&I Advances BUILD America 250 Act — Federal Safety Case Standard for Autonomous Commercial VehiclesHolland & Knight
May 20, 2026Research
8,000 Robots and Counting: Inside DHL's Multi-Vendor Automation StrategyFortune
May 6, 2026Regulation
UN ADS Regulation — GTR vs. UN Regulation: Legal Framework and U.S. ImplicationsInside Global Tech
Resources
The thinking behind trust in motion.
Independent measurement, validation and applications across Physical AI.
Frequently asked questions
Answers to the questions we hear most.
Clear explanations of what Paverly is building, how the pieces fit together and what is—and is not—available today.
What is Paverly building?
Independent measurement infrastructure for Physical AI, beginning with motion measured outside the machine.
What is TraceQ™?
An independent motion-measurement system that creates a separate physical record for comparison with machine-reported state.
What is BoundaryScore™?
An independent verification framework that validates defined performance metrics and claims against independent physical evidence and preserves a traceable record.
Why does Paverly administer BoundaryScore™?
Because the verification framework depends on the independent measurement infrastructure Paverly is building and operating.
Does participation imply endorsement or verification?
No. Early conversations and Jumpstart participation do not imply endorsement, certification, verification or any public designation.
When will it be available?
Paverly is building toward initial availability in 2027.
Jumpstart
Apply independent measurement to the metrics that matter.
Jumpstart is an invitation to learn, collaborate and provide feedback as the platform is developed. Participation does not imply endorsement, certification or evaluation.