The Infrastructure
for Sovereign AI.
We engineer consent-verified speech datasets for regulated enterprises. Replacing grey-market scraping with documented, audit-ready provenance aligned to the EU AI Act.
Trusted by Regulated and
Production-Critical Teams
YPAI supports teams operating in automotive, healthcare, finance, and regulated enterprise AI across Europe. Every engagement is scoped, documented, and delivered to specification.
Why General Models
Fail in Production
Off-the-shelf datasets lack the acoustic and linguistic nuance required for real-world deployment. The gap between "sample pack" quality and production reality drives WER spikes.
"When systems move toward production, 'good enough audio' becomes expensive fast."
Demographic Bias
Models trained on standard US/UK distributions fail on Swiss German, regional accents, and non-native speakers.
Acoustic Mismatch
Studio recordings do not generalize to noisy in-cabin, street, or far-field environments.
Invalid Consent
Web-scraped or grey-market data blocks legal clearance for commercial deployment.
Metadata Void
Unlabeled audio cannot be filtered for specific edge cases or bias correction.
Why Teams Replace Generic Audio Vendors
Most vendors optimize for volume. YPAI is built for production reliability and regulatory clearance.
| Capability | Generic Vendors | YPAI Control |
|---|---|---|
| Consent Lineage | Partial or aggregated | Per-record, verifiable consent |
| Dialect Coverage | Standard distributions | Swiss German, UK regional, Code-switching |
| Collection Method | Browser tools / crowds | Proprietary collection app |
| Acoustic Realism | Studio-biased | In-car, street, far-field |
| Metadata Depth | Minimal / optional | Rich JSON sidecars |
| Audit Readiness | Ad-hoc documentation | Included with every delivery |
| Sovereignty | US-exposed | EU-resident delivery available |
Controlled Delivery Architecture
This is not generic sourcing. It is a controlled, documented engineering process designed for ML teams.
Proprietary Collection App
Standardized capture workflows, guided prompts, and built-in acoustic validation. We control the recording chain from device to cloud, ensuring uniform quality across thousands of hours.
35,000+ Vetted Speakers
Verified contributors enable demographic targeting and longitudinal continuity.
Acoustic Control
Define quotas by language, region, device type, and environment.
Metadata Schema
Rich JSON sidecars with device info, SNR logs, and speaker demographics.
Sovereign Delivery
EU-resident options available. Fully aligned with EU AI Act requirements.
Collection Capabilities
We capture the edge cases your model misses. From specific regional dialects to high-noise acoustic environments, every dataset is engineered to your exact SNR and linguistic requirements.
- Audio (WAV/FLAC 48kHz)
- Rich JSON Metadata
- Speaker Demographics
- Environment/Device Tags
- QA Verification Reports
ASR & Voice Command
Wake words, keywords, command-and-control, and domain vocabulary. Precision recording for trigger phrase optimization with controlled SNR.
Conversational Speech
Natural dialogues, turn-taking, and multi-speaker interactions. Simulating real human-to-human or human-to-agent interaction flows.
Multilingual & Accented
European regional accents, dialects, and real code-switching scenarios. Fixing the "standard distribution" bias (e.g., Swiss German, UK Regional).
Complex Environments
In-car, street, public spaces, office, and home conditions. Capturing the noise floor, reverb, and acoustic reflections of real usage scenarios.
Automotive
In-cabin command, road noise profiles.
Healthcare
Clinical dictation, patient flows.
Finance
Biometric auth, fraud detection.
How Quality Is Defined
and Verified
Quality is not subjective. It is measured, documented, and enforced. We ensure predictable performance when models move from lab to production.
Collection-time controls
Real-time Signal-to-Noise Ratio (SNR) thresholds, silence detection, clipping prevention, and environment validation per project.
Dataset-level validation
Speaker balance against defined quotas, accent/locale distribution checks, and environment coverage verification.
Acceptance criteria
QA pass/fail thresholds defined before collection. Re-recording triggered automatically when criteria are not met.
Security, Compliance,
and Risk Control
Designed for regulated and high-risk deployments. We assume every dataset will be audited by legal teams.
Explicit Consent
Recorded per project requirements with clear scope. No grey-market data.
GDPR-Aligned Workflows
Privacy-by-design, right to be forgotten support, and localized storage.
Audit-Ready Documentation
DPAs available. Dataset versioning and provenance logs included with delivery.
RISK CONTROL: Anonymization protocols applied where required by local jurisdiction.
Enterprise Delivery Model
Built for teams deploying across markets. This is a dedicated service engagement, not a self-serve product.
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Dedicated Account Ownership
Direct access to project managers who understand ML requirements and collection logistics.
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Predictable Timelines
Project-specific schedules with transparent milestones and weekly reporting.
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Written Acceptance Criteria
QA thresholds (WER/SNR) and acceptance definitions locked in contract before collection starts.
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Iterative Delivery & Refresh
Support for model feedback loops, gap re-collection, and locale expansion using the same baseline.
What "Audit-Ready" Actually Means
Every dataset is delivered with a governance package, not just audio files. These artifacts are designed to be reviewed by legal and compliance teams.
Consent Receipts
Scope, timestamp, and user ID mapped.
Protocol Summary
Collection method and validation gates.
QA & Acceptance Report
Pass/Fail metrics against spec.
Exception Log
Re-collection and anomaly notes.
Delivery Lifecycle
A predictable, gate-checked process designed for procurement and risk teams.
Spec Lock
Languages, quotas, metadata schema, and acceptance criteria.
Protocol Design
Prompts, scripts, and validation gates defined.
Allocation
Recruitment from vetted network aligned to demographics.
Capture
Recording via app with real-time quality checks.
Validation
Multi-pass QA, structured packaging, and delivery.
Start Your Audio
Data Project
Tell us what you need. We'll respond with a scoped plan, timeline, and quote in 1 business day.
Enterprise Ready
NDA and DPA available immediately upon request. All data handling complies with ISO 27001.
Fast Response
Dedicated account manager responds within 24 hours with detailed proposal and timeline.
GDPR Compliant
EU-based operations with full GDPR compliance and EU AI Act readiness.
How Different Teams Use This Page
ML & Data Teams
- • Review dialect coverage & acoustic realism
- • See how failure cases are captured
- • Align dataset specs to model requirements
Legal & Compliance
- • Confirm consent handling & docs
- • Review governance artifacts & DPAs
- • Validate audit readiness
Procurement
- • Understand delivery model
- • Confirm timelines & accountability
- • Check contracting readiness
Edge-Case Audit (Optional First Step)
If you already know where your model fails, start there. We can scope a targeted evaluation dataset for specific dialects, noise environments, or known failure cases.