Legal & Transparency

Built for procurement confidence — clear consent, explicit licensing scope, and audit-ready documentation. We minimize legal uncertainty so your team can approve faster and train on reality with peace of mind.

Transparency Framework

Compliance Assurance Pack

Consent & Capture Notice

Designed to reduce legal ambiguity: consent evidence, capture context, and review outcomes are recorded at upload time.

  • Capture context recorded (scene type, location class, time window)
  • Contributor acknowledgment logged during upload
  • Segment-level review with raw footage preserved

License Scope &
Permitted Use

Every delivery is labeled with a clear scope (PoC / Trial / Research / Commercial) plus written boundaries to speed up approvals.

  • Usage scope explicitly assigned per pack
  • Export / distribution constraints documented
  • Dataset ID + segment IDs retained for auditability

Audit Evidence — Diagrams

Consent Flow

Consent workflow diagram showing capture, upload, verification, and acceptance steps for dataset compliance

A standardized flow from capture → upload → verification → acceptance, with evidence retained for audits.

  • Consent status stored at upload
  • Metadata retained as immutable evidence
  • Segment-based accept/reject decisions

Permitted vs Restricted

Usage policy diagram comparing permitted and restricted dataset use cases for legal review

A clear usage matrix separating “allowed” vs “restricted” so legal review completes faster.

  • Allowed: training, evaluation, benchmarking
  • Restricted: redistribution, resale, public release
  • Scope labeling per pack (PoC/Trial/Research/Commercial)

Responsibility Boundary

Responsibility boundary diagram showing dataset provider obligations and buyer-controlled downstream use

Clear boundaries: what we guarantee and document vs what the buyer controls downstream.

  • We provide: provenance, metadata, QC, delivery integrity
  • Buyer controls: training pipeline, downstream usage, model outputs
  • Audit-ready: dataset + segment traceability

Legal Review Infographics

Visual summaries of our legal-ready data workflow, compliance controls, and risk mitigation structure for buyer, legal, and procurement review.

Legal-Ready Data. Built for Trust.

Infographic showing legal-ready data lifecycle including data capture, consent verification, anonymization, quality control, and controlled dataset delivery for AI training

A high-level overview of the data lifecycle, compliance-by-design approach, and global regulatory alignment.

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Risk Controls & Legal Safeguards

Infographic illustrating legal risk controls including data minimization, anonymization, governance framework, deletion propagation, and contractual safeguards for AI datasets

A practical legal-risk overview covering privacy controls, governance, deletion propagation, contractual protections, and SLA commitments.

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Policies & Documents

Review our data policies, contributor guidelines, and operational rules.

View Policy / Terms → View Hunter Guide →

Buyer Approval FAQ

A practical review block for procurement, legal, and compliance teams before purchase approval.

Is the data collected on public roads?

Yes. The dataset is collected in publicly accessible road environments as part of real-world urban traffic capture.

Are faces and license plates blurred by default?

Blurring or anonymization can be applied based on buyer requirements, jurisdictional needs, and approved delivery scope.

Can procurement teams review licensing terms before purchase?

Yes. Public summary information is available in advance, and more detailed licensing materials can be shared during qualification or under NDA where needed.

Is a DPA available on request?

Yes. Data Processing Agreement support can be discussed when procurement or legal review requires it.

Can provenance documentation be shared under NDA?

Yes. More detailed provenance, handling, and compliance-related materials can be provided during formal review under NDA.

Data Provenance FAQ

Key operational and governance details for security review, provenance validation, and engineering confidence.

How is the data collected?

Real-world mobile capture is performed through structured field collection workflows designed for traffic, environment, and scenario diversity.

What anonymization standards are applied?

Sensitive elements such as faces, license plates, and other identifying details can be masked, filtered, or handled according to buyer and compliance requirements.

Is raw data preserved?

Yes. Raw continuous footage may be preserved for traceability, auditability, and controlled downstream processing, while delivery scope remains segment-based.

How are minors or sensitive scenes handled?

Sensitive or review-flagged content can be filtered, restricted, or excluded based on policy, legal requirements, and delivery scope.

Is cross-border transfer involved?

Data handling and storage may involve controlled cross-border workflows depending on buyer requirements, hosting structure, and compliance constraints.

What infrastructure is used?

Cloud-based storage, controlled access, and traceable handling processes are used to support delivery integrity, audit readiness, and operational security.

Review legal framing, privacy handling, and PoC usage before requesting a sample pack.

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