Independent measurement for Physical AI

Truth in Motion.

Paverly is building the independent measurement infrastructure that enables objective verification, benchmarking and comparability across Physical AI systems.

Learn why motion matters Coming in 2027

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 paper

Universally observable

Every mobile system expresses behavior through physical movement.

Independently 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 benchmark for Physical AI.

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.

Neutral by design

Independent governance and disclosed methodology.

Measured, not claimed

Built on evidence reconciled against an external physical reference.

Comparable and actionable

Common methods, context and confidence retained.

Visit BoundaryScore™
BoundaryScore™ exampleIllustrativeComing in 2027
87/100
Five-star view
Safety92
Reliability84
Performance86
Operational design82
Transparency88

Why Paverly?

The measurement company is the natural administrator of the benchmark.

Paverly develops TraceQ™

Independent motion measurement purpose-built for Physical AI.

Paverly administers BoundaryScore™

The benchmark transforms verified evidence into comparable insight.

The ecosystem benefits

Regulators, insurers, customers, researchers and the public gain a common 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.

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 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 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 6, 2026Regulation UN ADS Regulation — GTR vs. UN Regulation: Legal Framework and U.S. ImplicationsInside Global Tech

Resources

The thinking behind truth in motion.

Independent measurement, validation and applications across Physical AI.

Foundational paper

TraceQ™: A New Way to Measure Motion

Introduces direct motion measurement as the technical foundation for independent machine-performance validation.

Read whitepaper ↗

Technical Q&A

Why Motion?

Explains why motion is universal, economical, privacy-enabling and uniquely suited to independent validation.

Read Q&A ↗

Technical Q&A

Motion Validation Envelope™

Shows how alignment creates confidence and meaningful discrepancy creates evidence for review.

Read Q&A ↗

Foundational paper

Independent Verification for Physical AI

Explains the case for an external reference beyond the machine's own reporting systems.

Read whitepaper ↗

Physical AI Q&A

Building Trust in Physical AI

Shows how independent, granular evidence supports builders, operators and the deployment ecosystem.

Read Q&A ↗

AV safety brief

The Missing Independent Signal for AV Safety Leaders

Explains why AV safety teams need an independent motion signal for monitoring, validation and investigation.

Read brief ↗

Regulators & standards Q&A

A Real-Time Trust and Validation Layer

Explains how BoundaryScore™ complements oversight with continuous, affordable and industry-governed evidence.

Read Q&A ↗

Insurance Q&A

Quantifying Performance and Insurer Risk

Shows how consistent, physics-based and auditable evidence can improve risk understanding and pricing.

Read Q&A ↗

Consumer Q&A

Understanding a BoundaryScore™ Rating

Clarifies what the rating means, what it does not mean and why availability will vary by manufacturer.

Read Q&A ↗

Governance Q&A

Boundary Collective™ Governance

Explains how the industry—not one company—governs scoring, methodology, data and privacy.

Read Q&A ↗

1–3 of 10

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 benchmarking framework that converts verified evidence into transparent, comparable performance insight.

Why does Paverly administer BoundaryScore™?

Because the benchmark depends on the independent measurement infrastructure Paverly is building and operating.

Does participation imply endorsement or a rating?

No. Early conversations and Jumpstart participation do not imply endorsement, certification, evaluation or any public rating.

When will it be available?

Paverly is building toward initial availability in 2027.

Jumpstart

Help shape the future of independent measurement.

Jumpstart is an invitation to learn, collaborate and provide feedback as the platform is developed. Participation does not imply endorsement, certification or evaluation.