Controlled, enterprise-grade speech data for production AI systems
YPAI is an enterprise speech data provider delivering datasets and corpus production for organizations in regulated environments. Not a marketplace.
A closed contributor network, run inside YPAI infrastructure
Enterprise speech data needs procurement-defensible provenance: identity-verified contributors, per-recording consent, documented chain of custody, and explicit IP status. YPAI runs that as a closed, production-grade speech data collection system, built for legal review and long-term use.
How this differs from a marketplace
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Closed contributor network
No open-submission marketplace. Identity-verified contributors only, vetted at intake.
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Per-recording provenance
Every sample carries documented sourcing, consent record, and chain-of-custody metadata.
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Article 7 + Article 9 consent
Per-contributor, per-project, separated for special-category data. Not platform-ToS consent.
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Documented copyright + IP status
Legally attributable, audit-defensible. No grey-zone scraped or repurposed data.
The YPAI Standard
- Collected inside our controlled platform
- Performed by vetted, region-specific contributors
- Technically validated (samplerate, environment)
- Reviewed by humans on every recording
- Legally attributable and fully auditable
What Enterprise Speech Data Means
Regulated Environments
Safe for use in healthcare, finance, and automotive.
Audited Internally
Full trace of consent and data origin.
Defensible
Ready for procurement, legal, and external audits.
Reusable
Use across model versions without provenance risk.
Who This Is For
ML & AI Teams
- Low-noise multilingual speech data
- Dialect-accurate, region-specific
- No silent data corruption
Procurement
- A vendor, not a platform
- Contractual clarity & SLAs
- Avoid marketplace risk
Legal & Compliance
- Verifiable consent & provenance
- Jurisdiction-specific handling
- Audit ready for years
OUR PROCESS
How Speech Data Collection Works
Controlled production pipeline. No open submission. 100% human verified.
Scope the Evidence Model
We map the model objective, data sources, consent path, regulatory constraints, quality bar, and deployment environment before collection begins.
Deliverable: Project brief with data, risk, and governance requirements
Produce and Validate the Data
Collection, annotation, review, and model-support workflows run with preserved consent records, QA checkpoints, and domain review where the risk profile requires it.
Deliverable: Validated datasets with QA and provenance records
Deliver and Govern
Delivery includes versioning, documentation, deployment notes, and governance support so the asset remains usable after procurement review.
Deliverable: Delivery package with documentation and control notes
Scope the Evidence Model
We map the model objective, data sources, consent path, regulatory constraints, quality bar, and deployment environment before collection begins.
Deliverable: Project brief with data, risk, and governance requirements
Produce and Validate the Data
Collection, annotation, review, and model-support workflows run with preserved consent records, QA checkpoints, and domain review where the risk profile requires it.
Deliverable: Validated datasets with QA and provenance records
Deliver and Govern
Delivery includes versioning, documentation, deployment notes, and governance support so the asset remains usable after procurement review.
Deliverable: Delivery package with documentation and control notes
Custom Speech Data Collection
For specialized models, we design bespoke collection protocols. This is not just filtering existing data: it is targeted origination based on your technical requirements.
Scope of Customization
- Domain-specific scripts (Medical, Legal, Auto)
- Phonetically balanced prompts
- Multi-turn conversational scenarios
Demographic Control
- Specific accent and dialect regions
- Age, gender, and speaker distribution
- Environment and noise floor profiles
Designed for Production AI
Proven at Enterprise Scale
Nordic telecom provider
50,000+ hours of speech data
European automotive OEM
In-vehicle ASR datasets
Regulated healthcare
Multi-country collection
Frequently Asked Questions
Common questions about enterprise speech data, compliance, and how we work with you.
Data & Technical
How does YPAI source contributors?
YPAI runs a closed, production-grade speech data collection system. All data is collected inside YPAI-controlled infrastructure by vetted, contracted contributors with documented identity verification and per-project consent under GDPR Article 7.
How does YPAI differ from a data-labeling marketplace?
What languages do you support?
- 50+ languages with native speaker coverage
- European, Asian, and Middle Eastern languages
- Dialect-level specificity available
What audio formats do you deliver?
What is your quality assurance process?
Business & Compliance
Is YPAI GDPR compliant?
- European jurisdiction operations
- Explicit contributor consent
- Full data subject rights
- EU-based data storage
Can you provide a Data Processing Agreement?
- Sub-processor disclosure
- Data retention policies
- Security measures documentation
What is the minimum project size?
What are typical project timelines?
How is data secured?
- TLS 1.3 for data in transit
- AES-256 encryption at rest
- EU-based cloud infrastructure
- Regular security audits
Explore Documentation
Detailed documentation for technical, compliance, and procurement review.