MULTIMODAL TRAINING AND EVALUATION DATA. BUILT IN THE EEA

Models that pass the benchmark and fail in production have a data problem

YPAI manufactures the multimodal training and evaluation data that exposes domain shift before it ships, with consent and provenance artifacts your conformity review can read. Built in Norway, on EEA infrastructure, outside US cloud jurisdiction.

150+ Languages collected
50+ Countries covered
40,000+ Contributors
25,000+ Video files handled

Project experience across
automotive, speech, and enterprise data

  • Cerence AI
  • Nexdata
  • Hyundai
  • BYD
  • Honda
  • Kia
  • NIO

GDPR-EEA · EU AI Act Art. 10 · Norwegian AS

THE PRODUCTION GAP

What breaks outside the benchmark

Standard training data fails when deployment conditions diverge from collection conditions. We manufacture data products that anticipate and cover this gap.

  • Domain shift is the real bottleneck

    Models trained on clean inputs degrade when microphones, cameras, lighting, acoustics, and workflows change in production. We build datasets that expose and cover this variance before deployment.

    Cross-device and cross-environment coverage

  • Long-tail human variance

    Real users differ from benchmark speakers. We capture demographic, dialectal, and behavioral diversity.

    Consent-verified participant pools

  • Regulated data constraints

    Some deployments cannot use public data. We manufacture first-party datasets with audit trails.

    Governance artifacts delivered

  • Evaluation before deployment

    Standard benchmarks mask production failure modes. We design evaluation sets that reflect your actual operating conditions, not sanitized lab environments.

    Domain-shift benchmarks

MODALITY COVERAGE

Data products across input types

Audio, image, video, LiDAR and sensor, and text and evaluation data, captured first-party under controlled variability with verified consent under GDPR Article 7 and the provenance record EU AI Act Article 10 expects.

Speech captured where systems fail

Multi-dialect speech recorded in the conditions that break production models: in-vehicle noise, reverberant rooms, far-field pickup, accented and emotional speech. Captured at 48 kHz / 24-bit across 50+ dialects and 150+ languages, 100% human-reviewed.

  • In-vehicle and far-field capture
  • Multi-accent, multi-dialect pools
  • Emotion and speaking-style variation
  • Parallel corpus and MTPE, 38+ language pairs

48 kHz / 24-bit, 150+ languages

DATA PRODUCTS

From specification to production delivery

Each engagement produces a defined data product: coverage specification, collection execution, delivery formats, and optional evaluation sets.

  1. Coverage specification

    • Demographic matrix Age, gender, accent, dialect distributions
    • Environment conditions Noise types, lighting, device profiles
    • Edge case allocation Quota for low-resource segments
  2. Collection execution

    • Consent and provenance GDPR-native consent, per-sample audit trail
    • Multi-device capture Synchronized cross-device recording
    • QA pipeline Automated plus human review gates
  3. Delivery formats

    • Raw and processed Originals plus ML-ready features
    • Annotation layers Transcripts, labels, bounding boxes
    • Integration support S3, GCS, Azure, on-prem delivery
  4. Evaluation sets

    • Domain-shift benchmarks Expose production failure modes
    • Held-out segments Reserved speakers, environments
    • Regression tracking Versioned sets for iteration

Evaluation sets designed for domain shift reveal failure modes that standard benchmarks hide. We can build held-out test data that reflects your actual deployment conditions.

LANGUAGE COVERAGE

150+ languages, collected and human-reviewed

Each mark is one language we have collected and human-reviewed. The four Nordic anchors plus English are production speech capabilities.

  • Norwegian
  • Danish
  • Swedish
  • Finnish
  • English
  • the full 150+ inventory

50+ countries · 38+ MTPE language pairs · 100% human QA coverage

INDUSTRIES WE SERVE

Built for these industries

PROCUREMENT-READY DOCUMENTATION

The documents your legal and security teams will ask for

  • EEA jurisdiction (Norwegian AS)
  • GDPR-native (Articles 6, 7, 9, 12-23, 28)
  • EU AI Act Article 10
  • 30-day erasure SLA
  • Zero US CLOUD Act exposure
  • SCCs available

GDPR posture

EEA jurisdiction with documented Article 6 / 7 / 9 lawful basis, Articles 12 to 23 data subject rights workflow, Article 28 standard processor terms. SCCs available for non-EEA recipients. Withdrawal workflow with audit trail.

View document

Consent framework

Per-contributor documented consent, not platform-ToS consent. Captured at recording or annotation time with version-controlled consent forms. Withdrawal triggers downstream erasure within 30 days.

View document

Language coverage

The full 150+ language inventory with vetted contributor counts per language, dialect coverage, and minimum-utterance availability. Used by procurement teams checking language SLA achievability.

View document

Speech data overview

The umbrella page for the speech-data product family. EU AI Act readiness, DPA template, residency, retention SLA and audit-trail policies are organised here. YPAI supplies the data-governance evidence under Article 10; it does not certify your AI system as compliant. Procurement teams typically start here, then deep-link to specific documents.

View document

ENGAGEMENT PROCESS

From scoping to production dataset

  1. Describe your use case What modalities, environments, and constraints define your deployment?
  2. Technical assessment We evaluate feasibility, define QA rubrics, and identify governance requirements.
  3. Pilot delivery Small-scale data delivery to validate quality gates, formats, and integration.
  4. Production scale Full dataset delivery with ongoing QA, versioning, and support.

Include: modality, environment, volume estimate, and any regulatory constraints.

GDPR Article 7 ยท EU AI Act Article 10 ยท DPA included

GOVERNANCE

Consent, provenance, and audit readiness

What governance artifacts can be delivered with a dataset?

We can deliver documentation aligned to your risk profile: consent records, provenance logs, demographic breakdowns, QA audit trails, and data processing agreements. Format and depth depend on your compliance requirements.

  • Consent records
  • Provenance logs
  • Audit trails
Can data be collected under a specific legal basis?

Yes. We support consent-based collection, legitimate interest frameworks, and contractual necessity depending on jurisdiction and use case. Legal basis is documented per-sample.

  • GDPR
  • Consent
  • Legal basis
What data residency options are available?

Primary operations are EU-based (Norway). We can arrange US residency or on-premise delivery for restricted deployments. Residency requirements are defined in the project scope.

  • EU residency
  • US residency
  • On-premise
How is participant consent managed?

Consent is collected through our platform with clear disclosure of data use, retention, and rights. Participants can withdraw, and we support downstream anonymization or deletion requirements.

  • Withdrawal rights
  • Anonymization
  • Retention
Can YPAI sign a DPA or work under our existing agreements?

Yes. We routinely sign DPAs and can operate under client-provided agreements where feasible. Standard Contractual Clauses (SCCs) are available for cross-border transfers.

  • DPA
  • SCCs
  • Cross-border

We will define the data product required for your deployment context and constraints.


If YPAI is not the right fit, we will say so directly.

Discuss your dataset