YPAI
Services Data Industries Company
AI Data & Evaluation
Data collection and sourcing Consent-led multimodal collection. Dataset licensing Rights-cleared datasets, ready to license. Annotation and curation Labelling, review and adjudication. Model and agent evaluation Human evaluation and regression testing. Explore AI Data & Evaluation Create, source and evaluate the data your AI depends on.
AI Implementation
Discovery and architecture Scope the use case and the system design. RAG and knowledge systems Retrieval over your own knowledge. Agents and workflow automation Agents and automation in production. Private and enterprise deployment Private, controlled deployment. Explore AI Implementation Turn a defined AI use case into a system you can operate.
Delivery
Connected Delivery Data, evaluation and implementation under one structure. Pilots Validate the delivery method before scale.
Explore all services
AI Data & Evaluation
Speech & Audio Data Multilingual speech, acoustic environments and voice data. Image, 3D & Sensor Data Images, documents, multi-view data, LiDAR and sensor fusion. Video, Physical AI & Robotics Data On-camera, conversational, egocentric and robotics data. Dataset Licensing & Sourcing Rights-cleared datasets, bespoke sourcing and acquisition. Annotation & Data Production Ontology design, labelling, review and model-ready delivery. Model & Agent Evaluation Human evaluation, multilingual testing and failure analysis.
Explore AI Data & Evaluation
Operating conditions
AI Companies & Model Developers Training data, preference data and evaluation loops. Automotive & Mobility In-cabin speech, perception, video and sensor data. Financial Services Document AI, knowledge systems and traceability. Healthcare & Life Sciences Specialist data, domain review and privacy-sensitive work. Industrial & Energy Field data, operational workflows and integration. Public Sector Controlled data operations and reviewable AI systems.
Explore industry solutions
Company
About YPAI Company, mission, operating model and delivery history. Partnerships Commercial, technology and delivery collaboration. AI Blog Research, technical perspectives and company updates. Contact Projects, partnerships, procurement and general enquiries.
Become a Contributor Contact us
YPAI
AI Data & Evaluation
Data collection and sourcing Dataset licensing Annotation and curation Model and agent evaluation Explore AI Data & Evaluation
AI Implementation
Discovery and architecture RAG and knowledge systems Agents and workflow automation Private and enterprise deployment Explore AI Implementation
Delivery
Connected Delivery Pilots Explore all services
AI Data & Evaluation
Speech & Audio Data Image, 3D & Sensor Data Video, Physical AI & Robotics Data Dataset Licensing & Sourcing Annotation & Data Production Model & Agent Evaluation Explore AI Data & Evaluation
Operating conditions
AI Companies & Model Developers Automotive & Mobility Financial Services Healthcare & Life Sciences Industrial & Energy Public Sector Explore industry solutions
About YPAI Partnerships AI Blog Contact
Contact us Become a Contributor

Speech data

Evaluation Program

Last updated: July 2026

Structured evaluation of enterprise speech data prior to production engagement. Evaluations are scoped, controlled, and contractually governed.

On this page

  • 1. Executive summary
  • 2. Purpose of the evaluation
  • 3. Evaluation scoping
  • 4. Controls applied during evaluation
  • 5. Delivery and review
  • 6. Transition to production
  • 7. Boundaries and limitations
  • 8. Evaluation FAQ

1. Executive summary

This page is an overview for internal review. Specific terms, dataset parameters, and timelines are defined contractually during evaluation scoping.

Purpose
Evaluation precedes production commitment and informs go/no-go decisions
Scope
Scope and constraints defined during evaluation scoping
Controls
Evaluation datasets use the same controls as production where supported
QA
Quality assurance and validation procedures applied during evaluation
Results
Provided for internal technical and business review
Production terms
Negotiated separately after evaluation completion
Transition
No automatic transition to production without explicit approval
Terms
Contractual and engagement-specific

2. Purpose of the evaluation

Evaluation datasets allow enterprise teams to validate speech data quality, format, and fit-for-purpose before committing to production-scale engagement.

What evaluation validates: Technical format compliance, audio quality characteristics, metadata structure, and alignment with project requirements.

What evaluation is not: Evaluation is not an open trial, production-scale delivery, or unlimited access. Scope and constraints are defined during evaluation scoping.

Intended outcome: Evaluation results inform internal technical and business decisions regarding subsequent engagement.

Evaluation scope and deliverables are defined contractually during scoping.

3. Evaluation scoping

Evaluation scoping aligns technical requirements and contractual expectations before work begins.

Scope definition: Languages, domains, audio formats, and quality criteria are discussed and agreed upon during scoping.

Constraints: Volume limits, timeline boundaries, and usage restrictions are established before evaluation commences.

Alignment: Scoping ensures technical teams and legal/procurement stakeholders share common expectations regarding evaluation deliverables.

Scoping discussions address your specific requirements. Standard parameters are not published.

4. Controls applied during evaluation

Evaluation datasets are produced using the same operational controls applied to production data where supported.

Collection controls: Data is collected through controlled channels with appropriate consent mechanisms and quality validation.

Quality assurance: Validation and QA procedures are applied during evaluation. Specific QA methods are documented in evaluation deliverables.

Separation: Evaluation data is not sourced from open or crowdsourced channels. Provenance is documented and available for review.

Specific controls and validation procedures are defined during evaluation scoping.

5. Delivery and review

Evaluation data is delivered according to specifications agreed during scoping.

Delivery format: Format, encoding, and metadata structure follow technical specifications agreed upon during scoping.

Accompanying artifacts: QA summaries, metadata manifests, and provenance documentation are provided where supported and agreed.

Review process: Your internal team reviews evaluation deliverables. Feedback is documented and addressed according to agreed procedures.

Delivery method, access duration, and artifact scope are defined during scoping.

6. Transition to production

Evaluation completion does not constitute automatic transition to production engagement.

Evaluation outcomes: Evaluation results inform your internal decision regarding subsequent engagement. Outcomes are documented for your review.

Production terms: Production scope, terms, and pricing are negotiated separately. Evaluation terms do not automatically apply to production.

Approval required: Transition to production requires explicit approval from designated stakeholders. There is no obligation to proceed.

Production engagement follows standard enterprise scoping and contracting processes.

7. Boundaries and limitations

Evaluation programs operate within defined boundaries to ensure appropriate scope and expectations.

  • Evaluation does not guarantee production outcomes or specific results.
  • Evaluation data may not be reused beyond agreed scope without separate authorization.
  • Terms are engagement-specific and do not create precedent for future engagements.
  • Evaluation scope is limited to parameters agreed during scoping.
  • Evaluation access is time-bound as defined in the evaluation agreement.

Specific limitations and boundaries are documented in the evaluation agreement.

8. Evaluation FAQ

Is the evaluation free?

Evaluation terms, including any associated costs, are defined during evaluation scoping. We work with your procurement team to establish appropriate terms based on scope and requirements.

How large is a typical evaluation dataset?

Dataset size is defined during evaluation scoping based on your technical requirements and validation needs. We do not publish standard sizes as evaluation scope varies by engagement.

Does evaluation data match production quality?

Evaluation datasets use the same controls and quality procedures as production where supported. Specific quality criteria and validation methods are defined during scoping.

Can we define custom evaluation criteria?

Custom criteria and validation requirements are addressed during evaluation scoping. We work with your technical team to establish appropriate evaluation parameters.

What happens after evaluation?

Evaluation outcomes inform subsequent decisions. Production terms, if applicable, are negotiated separately. There is no obligation to proceed to production following evaluation.

Can evaluation data be retained?

Data retention terms are defined in the evaluation agreement. Retention scope and conditions are agreed upon during scoping based on your requirements and applicable regulations.

Who reviews evaluation results?

Evaluation results are provided to your designated internal team for technical and business review. Review procedures and deliverables are defined during scoping.

Is there a time limit on evaluation?

Evaluation timelines and duration limits are defined contractually during scoping. We work with your team to establish appropriate timeframes based on project requirements.

What if evaluation does not meet our needs?

There is no obligation to proceed following evaluation. Evaluation outcomes inform your decision whether to engage further. Feedback on evaluation results is welcomed.

Is evaluation available for all languages and domains?

Language and domain availability for evaluation is discussed during scoping. We assess feasibility based on your requirements and current capabilities.

How is evaluation data delivered?

Delivery format and method are defined during evaluation scoping. Delivery follows the same technical specifications applicable to production where supported.

Can we request changes during evaluation?

Scope changes during evaluation are handled through agreed procedures. Change requests are assessed for impact and require appropriate approval before implementation.

Request an enterprise consultation

Evaluation scope is defined during initial consultation based on your project requirements.

Speech data overview · Service Level Agreement · Technical specifications · DPA overview · Audio data QA and acceptance criteria · Whisper improvement for European languages

Start with the requirement, not a predefined package.

Bring the objective, current system or dataset, and known operating constraints. YPAI will map the appropriate service line, delivery structure and first validation step.

Contact us Scope a pilot

AI systems, data and evaluation under one accountable delivery model.

New projects · accepting data and AI requirements
Engagement scoped before build
Acceptance defined before delivery
Services
AI Data & Evaluation AI Implementation Controlled Delivery Dataset Licensing
Capabilities
Speech & Audio Image, 3D & Sensor Data Video Data Annotation & Evaluation
Company
About YPAI Partnerships Contact Become a Contributor
Resources & Legal
AI Blog Privacy Terms Cookie Policy Data processing
YPAI · Org. nr. 933 915 778 · Oslo, Norway · Global delivery
Disclaimer LinkedIn ↗ GitHub ↗
EEA-BASED PROCESSING AVAILABLE WHERE REQUIRED · ARTICLE 28 DPA TERMS AVAILABLE
© 2026 YPAI
Install YPAI Faster reopens, offline shell, share-target ready.

Add YPAI to your home screen

Tap the Share button, then Add to Home Screen.