EEA-Exclusive AI Data Infrastructure

EEA-Sourced Training Data for High-Risk AI Systems.

Source 150+ languages with GDPR Article 7 consent records. Our EEA-only operations ensure absolute EU AI Act Article 10 conformance.

GDPR Art. 7 EU AI Act Art. 10 EEA-only operations
Discuss your dataset Explore the Ethical Framework
Coverage matrix 5 × 4
Modality Collection Annotation Validation Audit
Speech and audio GDPR Art. 7 consent 100% human QA IRR + bias sha256
Image and video GDPR Art. 7 consent 100% human QA IRR + bias sha256
LiDAR / 3D GDPR Art. 7 consent 100% human QA IRR + bias sha256
Text and NLP GDPR Art. 7 consent 100% human QA IRR + bias sha256
Sensor GDPR Art. 7 consent 100% human QA IRR + bias sha256
checksum verified consent attested dpa signed

Trusted by data teams at

  • Tier 1 EU automotive OEM
  • Global health system
  • EU financial services
  • Public sector · Nordics
  • Enterprise LLM vendor
  • LiDAR / 3D research lab
150+
Languages covered
40,000+
Identity-verified contributors
50+
Countries
100%
Human QA on production data

The data liability

Bad data is not just a model bug. It is a regulatory exposure.

Procurement and legal teams now treat training-data provenance as a Tier 1 compliance question. Three risks compound when AI data is sourced wrong:

Regulatory non-conformance

EU AI Act Article 10 mandates representative, traceable training data for high-risk systems. Crowdsourced or US-routed data cannot prove the chain.

Jurisdictional exposure

US-based annotation vendors are subject to the CLOUD Act, allowing foreign government access regardless of where data physically sits. GDPR Article 48 directly conflicts with that exposure.

Audit-trail gaps

Without per-contributor consent records and lineage manifests, regulators have no proof of lawful origin. A failed audit blocks deployment, not just procurement.

Operating services

Where regulated AI teams pick the right stage.

Data Collection

Source text, speech, and multimedia across 150+ languages from 40,000+ identity-verified EEA contributors. We secure explicit GDPR Article 7 consent, enabling lawful processing of GDPR Article 9 special category data.

Explore collection

Annotation

Achieve precision with 100% human QA workflows and multi-stage consensus scoring. Every annotation engagement includes a pre-signed GDPR Article 28 Data Processing Agreement, isolating your proprietary pipelines from compliance liabilities.

Explore annotation

Validation

Audit model outputs for statistical representativeness and accuracy. We execute rigorous demographic and functional distribution checks to guarantee your high-risk models achieve verifiable EU AI Act Article 10 conformance.

Explore validation

Ethical Framework

Operationalize your compliance architecture. We guarantee zero US CLOUD Act exposure, strict 30-day data erasure SLAs, and auditable lineage to meet DORA resilience mandates and MiFID II algorithmic trading standards.

Explore framework

How it works

From ingestion to delivery, every step has a record.

  1. 01

    Ingest and taxonomize

    Define modalities, languages, jurisdictions, and risk class. Map to EU AI Act Article 10 documentation requirements before collection begins.

  2. 02

    Route to vetted contributors

    Match tasks to identity-verified contributors across 40,000+ network. GDPR Article 7 consent recorded per contributor, per modality.

  3. 03

    AI-assisted tooling

    Pre-labeling and active learning reduce human time on routine cases. Self-hosted CVAT and Label Studio. No data leaves EEA infrastructure.

  4. 04

    QA and consensus

    5 to 10% double-pass sampling, inter-rater agreement scoring, demographic representativeness checks. 100% human QA on every production dataset.

  5. 05

    Secure delivery

    manifest.sha256, JSON-LD audit log, consent register, lineage record. Delivered to your EEA endpoint with the standard GDPR Article 28 DPA.

Scale

Global reach, European standards.

40,000+ identity-verified contributors across 150+ languages and 50+ countries. Zero crowdsourced anonymous labor. Every contributor goes through verification before they touch your data.

150+

Languages covered

40,000+

Identity-verified contributors

50+

Countries

100%

Human QA on production data

Regulatory citadel

Compliance is structural, not bolted on.

Every claim below maps to a named statute and a deliverable artifact. Procurement and legal teams can verify each line against our standard DPA on request.

Statutory framework

  • EU AI Act Article 10

    Data and data governance for high-risk AI systems

    All training, validation, and testing datasets supplied with documented representativeness checks, error reports, and bias assessments. Article 10 conformance is included by default, not a paid add-on.

  • GDPR Article 7

    Conditions for consent

    Explicit, demonstrable per-contributor consent recorded at collection time. Signed-at timestamp, basis, and scope captured in every delivery manifest.

  • GDPR Article 28

    Processor obligations and DPAs

    Pre-signed Data Processing Agreement included with every engagement. Sub-processor register provided at scoping. Full audit rights for the controller.

  • DORA + MiFID II

    ICT third-party risk and algorithmic trading

    EEA-only ICT third-party posture. Audit-ready data provenance for algorithmic suitability testing in regulated financial workflows.

  • US CLOUD Act

    Extraterritorial data demand exposure

    Zero exposure. Norwegian Aksjeselskap, EEA-only infrastructure, no US-based sub-processors handle production data. Foreign authorities cannot bypass GDPR Article 48 to access your training data.

Audit trail artifacts

  • Per-contributor consent register (GDPR Art. 7)
  • Dataset lineage manifest (EU AI Act Art. 10)
  • QA sampling and IRR record per dataset
  • manifest.sha256 + JSON-LD QA chain on every delivery
  • Sub-processor list provided with the DPA
  • 30-day erasure SLA receipts
Request a sample compliance pack

What we deliver

Three engagements, three modalities, three regulated buyers.

Automotive and mobility

Problem ADAS perception model failed on low-light edge cases

YPAI solution EEA-sourced multi-camera + LiDAR annotation with night-condition sampling

Outcome 34% reduction in edge-case errors on validation set

Healthcare and life sciences

Problem Clinical NLP needed Nordic ambient-AI training data

YPAI solution GDPR Article 9 special-category data collection with hospital consent flow

Outcome Production deployment cleared Norwegian healthcare DPO review

Financial services

Problem Document AI for MiFID II-compliant suitability review

YPAI solution Multilingual structured text annotation with audit lineage

Outcome Algorithmic suitability assessment passed internal DORA review

Integrations

Delivers into your existing AI stack.

Supported delivery targets

  • Hugging Face
  • Databricks
  • Snowflake
  • AWS (EU regions)
  • Azure (EU regions)
  • MLflow
  • Weights and Biases
  • S3-compatible

All delivery endpoints support EEA-resident sub-processors only. API is read-only at this stage. Public access requires NDA + signed DPA.

Sample manifest fetch 

# Fetch a delivery manifest by ID
curl -H "Authorization: Bearer $YPAI_TOKEN" \
  https://api.ypai.ai/v1/deliveries/ypai-2026-Q1-AB12/manifest

# Returns JSON-LD with consent register, QA chain,
# and manifest.sha256 checksum.

Procurement FAQ

What procurement, legal, and security ask first.

How do you prevent foreign government access to our proprietary training data?

YPAI operates exclusively within the EEA as a Norwegian Aksjeselskap. We maintain zero US CLOUD Act exposure, ensuring foreign authorities cannot bypass GDPR Article 48 to access your data.

How do you document consent for data subjects involved in our datasets?

We secure and index explicit GDPR Article 7 consent records for all 40,000+ identity-verified contributors. This documentation directly supports your legal requirement to prove lawful data origin under EU AI Act Article 10.

Are your processing contracts compliant with current European data protection laws?

Yes, we include a GDPR Article 28 aligned Data Processing Agreement (DPA) standard with every engagement. This guarantees our processing occurs only on your documented instructions and restricts unauthorized sub-processor engagement.

Can we use your services to train models on special category personal data?

Yes, we implement strict safeguards to process biometric, health, and other sensitive information as defined by GDPR Article 9. We collect explicit consent tailored to AI training purposes, avoiding the liabilities of general data collection.

How do your datasets support high-risk AI system compliance?

We design validation protocols to detect and mitigate demographic and functional biases. This ensures your training data is sufficiently representative and error-free, satisfying the data governance mandates of EU AI Act Article 10.

Can we audit your data governance and annotation processes?

Yes, our GDPR Article 28 aligned DPAs grant you full rights to audit our technical and organizational measures. We provide immediate access to contributor consent logs, QA consensus scores, and deletion certificates upon request.

Beyond data

Data is one stage. Enterprise Services is the full picture.

Collection, annotation, validation, infrastructure, and deployment for regulated AI programs. See how the stages connect.

Explore Enterprise Services

DATA PROJECT INTAKE

Scope a data project.

Bring modality, volume, jurisdictions, and any regulatory context. A named project lead replies within one EU business day. NDA-first review on request.

  • EEA-only operations, Norwegian Aksjeselskap
  • DPA included, GDPR Article 28 aligned
  • Consent register, lineage, manifest.sha256 on delivery
  • Named project lead, 1 EU business day reply

GDPR Article 7 · GDPR Article 28 · EU AI Act Article 10