# YPAI > Global managed AI delivery across implementation, data, and evaluation. YPAI provides two independently purchasable service lines: AI Implementation, and AI Data and Evaluation. The company is operated from Norway, can provide EEA-based processing where required, and serves customers worldwide. Identity updated: 2026-08-27 Service catalog updated: 2026-08-10 Corpus updated: 2026-07-24 Source fingerprint: sha256:124f0e12721d931e5aec2d6883ca4aa3f40bc1788c529a8bff1fc908437c162b ## Verified company facts - Legal entity: Your Personal AI AS, organisation number 933 915 778, registered in Brønnøysundregistrene. - Delivery network supports 150+ languages. - Parallel corpus and MTPE capability spans 300+ language pairs. ## Delivery model - **AI Implementation**: custom assistants, copilots, agents, knowledge systems, workflow automation, integrations, deployment, monitoring, and improvement. - **AI Data and Evaluation**: multilingual and multimodal collection, annotation, human review, expert evaluation, linguistic QA, model grading, regression testing, and managed delivery. - **Shared operating layer**: documented provenance, human quality controls, privacy-aware operations, practical governance, and continuous evaluation. ## Services Current commercial and specialist destinations: ### Routing hubs - [Enterprise Services](https://ypai.ai/enterprise-services/) - [Multilingual Speech and Audio Data](https://ypai.ai/speech-data/) - [AI Data Solutions Across Industries](https://ypai.ai/industry-solutions/) ### Commercial service lines - [AI Implementation](https://ypai.ai/ai-implementation/) - [AI Data and Evaluation](https://ypai.ai/data-solutions/) ### Specialist services - [AI Workflow Automation and Conversational Systems](https://ypai.ai/enterprise-automation-solutions/) - [Generative AI Implementation](https://ypai.ai/generative-ai/) - [AI and ML System Implementation](https://ypai.ai/machine-learning/) - [Multi-modal AI Training Data Collection](https://ypai.ai/data-collection/) - [Multi-modal AI Data Annotation](https://ypai.ai/ai-data-annotation/) - [Audio and Speech Annotation](https://ypai.ai/audio-speech-annotation-services/) - [Image and Computer-Vision Annotation](https://ypai.ai/image-annotation/) - [Video Annotation](https://ypai.ai/video-annotation-services/) - [Text and NLP Annotation](https://ypai.ai/text-annotation-services/) - [Semantic, Instance, and Panoptic Segmentation Annotation](https://ypai.ai/semantic-segmentation-annotation-services/) - [Lidar and 3D Point Cloud Annotation](https://ypai.ai/lidar-3d-point-cloud-annotation-services/) - [Sensor-Fusion Annotation](https://ypai.ai/sensor-fusion-annotation-services/) - [Medical Imaging Annotation by Licensed Professionals](https://ypai.ai/medical-imaging-annotation-services/) - [Robotics and Industrial Vision Annotation](https://ypai.ai/robotics-industrial-vision-annotation-services/) - [Article 10 Conformity Validation](https://ypai.ai/data-solutions/validation/) ## Compliance & Data Residency - YPAI is operated from Norway and can provide EEA-based processing where required for an engagement. - Delivery can include documented provenance, consent records, QA artifacts, dataset versioning, and sub-processor transparency. - YPAI documentation can support customer GDPR and EU AI Act obligations. YPAI does not certify customer systems as compliant. ## Contact - General inquiries: [https://ypai.ai/contact-us/](https://ypai.ai/contact-us/) - Partner with us: [https://ypai.ai/partner-with-us/](https://ypai.ai/partner-with-us/) - Schedule a call: [https://ypai.ai/schedule/](https://ypai.ai/schedule/) - Become a freelancer: [https://freelancer.ypai.ai/](https://freelancer.ypai.ai/) - Email: contact@ypai.ai - Location: Oslo, Norway ## Data Engineering - [Data Annotation Pricing: What Buyers Actually Pay](https://ypai.ai/blog/data-engineering/data-annotation-pricing-enterprise-guide/): Verified 2025-2026 data annotation pricing: per-unit rates, hourly rates by region, QA surcharges, hidden costs, and the EU compliance premium. - [Data Labeling QA: Thresholds That Actually Matter](https://ypai.ai/blog/data-engineering/data-labeling-quality-assurance-thresholds/): The published QA thresholds for data labeling: Krippendorff alpha, Cohen kappa, IoU benchmarks, label-error evidence, and what the EU AI Act requires. - [European Dialect ASR Benchmark (Q3 2026)](https://ypai.ai/blog/data-engineering/european-dialect-asr-benchmark/): Every published dialect WER result for European languages 2023-2026: Norwegian, Danish, Swedish, Swiss German. Primary sources only, updated quarterly. - [Whisper Fails Outside Standard Norwegian: The Real Numbers](https://ypai.ai/blog/data-engineering/whisper-fails-scandinavian-dialects-asr-benchmark/): Whisper's WER more than quadruples from Bokmål to Nynorsk in published benchmarks. A data problem, not a model problem, fixable at the corpus level. - [AI Data Annotation Services: Evaluation Guide](https://ypai.ai/blog/data-engineering/ai-data-annotation-services-comparison/): A category-based framework for evaluating annotation providers across operating model, quality control, data handling, workforce, and delivery fit. - [AI Training Data: The Complete Enterprise Guide](https://ypai.ai/blog/data-engineering/ai-training-data-guide/): AI training data quality determines whether models succeed in production. Enterprise guide to types, collection, annotation, and compliance requirements. - [AI Training Data Procurement Checklist for Voice AI](https://ypai.ai/blog/data-engineering/ai-training-data-procurement-checklist-voice-speech/): A checklist for CTOs and procurement leads buying speech training data: legal compliance, quality assurance, provenance, and delivery standards. - [ASR Software Comparison: Choosing the Right Engine](https://ypai.ai/blog/data-engineering/asr-software-comparison/): Cloud APIs, open-source models, and self-hosted engines each make different tradeoffs. What speech recognition teams must evaluate before committing. - [Audio to Text Transcription for AI Training](https://ypai.ai/blog/data-engineering/audio-to-text-transcription-ai-workflow/): Transcription for AI training is not commodity. Tool selection, quality metrics, and pipeline design determine whether your model learns from its data. - [Audio-to-Text Transcription: Tools, APIs, Workflow](https://ypai.ai/blog/data-engineering/audio-to-text-transcription-tools-apis-workflow-ai-teams/): Audio to text transcription tools, APIs, and workflows for AI teams building production ASR systems. Covers annotation pipelines, quality benchmarks, an... - (24 more articles in this hub; see [llms-full.txt](https://ypai.ai/llms-full.txt) for the complete corpus.) ## Sovereign Infrastructure - [Computer Vision Applications: Image Annotation to Production](https://ypai.ai/blog/infrastructure/computer-vision-applications-image-annotation-production-deployment/): Computer vision requires more than model training. How to move from image annotation to production deployment on sovereign AI infrastructure. - [CTO's Guide to Sovereign AI: Architecture & Costs](https://ypai.ai/blog/infrastructure/ctos-guide-sovereign-ai-architecture-costs/): A decision framework for sovereign AI infrastructure. Compare architecture patterns, understand true TCO, and get the vendor evaluation questions you need. ## Agentic AI - [Agentic AI training data: enterprise guide](https://ypai.ai/blog/agentic-ai/agentic-ai-training-data-guide/): Agentic AI systems need training data static LLMs never needed: multi-turn dialogue, tool-use traces, and RLHF preference sets for EU AI Act compliance. - [Voice Agent Training Data: Beyond ASR Corpora](https://ypai.ai/blog/agentic-ai/voice-ai-agent-training-data-requirements/): Voice agents must handle barge-in, incomplete utterances, and multi-turn dialogue. Here is what that means for training data requirements and GDPR. ## Compliance & Regulation - [EU AI Act Article 10: What Engineers Must Actually Build](https://ypai.ai/blog/compliance/eu-ai-act-article-10-engineering-requirements/): EU AI Act Article 10 demands specific engineering work, not policy documents. Here's what data governance actually requires for high-risk AI compliance. - [EU AI Act Article 10: Engineering Checklist for ML Teams](https://ypai.ai/blog/compliance/eu-ai-act-article-10-engineering-checklist/): A practical checklist for ML engineers on EU AI Act Article 10 data requirements: what to collect, document, and verify before August 2026 enforcement. - [EU AI Act Article 10: What Vendors Must Prove to Buyers](https://ypai.ai/blog/compliance/eu-ai-act-article-10-speech-data-vendors/): Article 10 compliance extends to your speech data vendor. The documentation requirements EU enterprise buyers must demand before the August 2026 deadline. - [Data Residency vs Sovereignty: Why GDPR Is Not Enough](https://ypai.ai/blog/compliance/eu-speech-data-sovereignty-gdpr-not-enough/): GDPR compliance does not equal data sovereignty for EU speech data. The CLOUD Act risk, what EEA-native means, and questions to ask your vendor. - [GDPR and AI: Enterprise compliance requirements](https://ypai.ai/blog/compliance/gdpr-and-ai-articles-compliance/): GDPR applies directly to AI training data collection, model outputs, and automated decisions. What enterprise compliance officers must address in 2026. - [GDPR Privacy Notices for AI: Requirements Guide](https://ypai.ai/blog/compliance/gdpr-privacy-notices-ai-systems/): GDPR Articles 13 and 14 require specific disclosures when data is used for AI training. This guide covers what compliant privacy notices must include. - [Healthcare Voice AI: Clinical ASR Training Data Requirements](https://ypai.ai/blog/compliance/healthcare-voice-ai-training-data-clinical/): Clinical voice AI training data must satisfy GDPR Article 9, EU AI Act Annex III, and clinical corpus standards. What healthcare AI teams must specify. - [EU AI Act High-Risk AI Training Data Requirements](https://ypai.ai/blog/compliance/eu-ai-act-high-risk-ai-training-data-requirements/): Annex III defines high-risk AI categories. What Article 10 data quality obligations mean for each category and how to write a compliant procurement spec. - [GDPR Compliant Speech Data Collection in Europe](https://ypai.ai/blog/compliance/gdpr-compliant-speech-data-collection-europe/): Why voice data is biometric under GDPR Article 9, what lawful basis you need, and how to evaluate vendors for compliance before you sign a contract. - [EU AI Act Article 10: Data Governance Checklist](https://ypai.ai/blog/compliance/eu-ai-act-article-10-data-governance/): Translate EU AI Act Article 10 into engineering tasks. Compliance checklist for ML engineers with tools and patterns. ## Optional - [Sitemap](https://ypai.ai/sitemap-index.xml): full URL index - [LLMs full content](https://ypai.ai/llms-full.txt): every article as markdown - [About YPAI](https://ypai.ai/about-us/): company background ## Complete page index Every indexable page not already listed above, with the page's own title and description. - [AI Data, Evaluation and Implementation | YPAI](https://ypai.ai/): YPAI builds production AI systems and delivers multimodal data, annotation and evaluation under one accountable delivery model. - [Enterprise AI Data Labeling Services | YPAI](https://ypai.ai/ai-data-labeling/): Enterprise data labeling across image, text, audio, and video, with task-specific quality metrics, Human QA, and GDPR-aligned EEA delivery options. - [AI Security and Data Sovereignty | YPAI](https://ypai.ai/ai-security/): Norwegian AS with structural EEA jurisdiction, GDPR-native provenance, and a procurement-ready evidence package. Transfer controls defined per project. - [European Audio Data for Voice AI | YPAI](https://ypai.ai/audio/): 50+ European dialects. 210,000+ contributors with documented consent. Real-world noise. Full provenance. Audio datasets your ASR and TTS models can finally trust. - [Audio Dataset Catalog | YPAI](https://ypai.ai/audio/datasets/): Production-ready European audio datasets. 50+ dialects, full metadata, documented consent, EU AI Act documentation support. - [Voice Recording Services | YPAI](https://ypai.ai/audio/voice-recording/): Premium voice recording for AI training, dialogue systems, and audiobooks. Native speakers in 30+ languages. Professional studios. Secure delivery. - [Augnito Omni | Voice AI and Speech Recognition | Your | YPAI](https://ypai.ai/augnito-omni/): Augnito Omni delivers enterprise-grade voice AI and automatic speech recognition for clinical, legal, and operational workflows. GDPR-compliant. - [Automotive AI Solutions | YPAI](https://ypai.ai/automotive/): Automotive AI data services: annotation and collection for autonomous driving, voice recognition, and intelligent vehicle systems, from Oslo to global markets. - [Production AI Insights | YPAI](https://ypai.ai/blog/): Analysis on data engineering, AI infrastructure, agent evaluation, and regulation for teams that build and run production AI. - [Insights archive - Page 2 | YPAI](https://ypai.ai/blog/2/): Page 2 of the YPAI Insights archive, with source-bounded analysis on AI data, infrastructure, evaluation, and regulation. - [Insights archive - Page 3 | YPAI](https://ypai.ai/blog/3/): Page 3 of the YPAI Insights archive, with source-bounded analysis on AI data, infrastructure, evaluation, and regulation. - [Insights archive - Page 4 | YPAI](https://ypai.ai/blog/4/): Page 4 of the YPAI Insights archive, with source-bounded analysis on AI data, infrastructure, evaluation, and regulation. - [Agentic AI | YPAI Insights](https://ypai.ai/blog/agentic-ai/): How to evaluate and operate agent systems in production. - [YPAI Engineering | YPAI Insights](https://ypai.ai/blog/author/YPAI%20Engineering/): Articles by YPAI Engineering in YPAI Insights. - [YPAI Research | YPAI Insights](https://ypai.ai/blog/author/YPAI%20Research/): Articles by YPAI Research in YPAI Insights. - [Compliance & Regulation | YPAI Insights](https://ypai.ai/blog/compliance/): What the EU AI Act, GDPR, provenance, and procurement controls require in practice. - [Data Engineering | YPAI Insights](https://ypai.ai/blog/data-engineering/): Collection, annotation, evaluation, and the pipelines behind production-ready models. - [Data Engineering - Page 2 | YPAI Insights](https://ypai.ai/blog/data-engineering/2/): Page 2 of Data Engineering in YPAI Insights. Collection, labeling, pipelines, and quality assurance for multimodal AI data at enterprise scale. - [Data Engineering - Page 3 | YPAI Insights](https://ypai.ai/blog/data-engineering/3/): Page 3 of Data Engineering in YPAI Insights. Collection, labeling, pipelines, and quality assurance for multimodal AI data at enterprise scale. - [Norwegian Dialect Speech Recognition Accuracy | YPAI](https://ypai.ai/blog/data-engineering/asr-norwegian-dialect-failures-accuracy/): Why commercial ASR fails on Norwegian dialects. WER benchmarks, phonological failure modes, and how dialect-balanced training data fixes the problem. - [Audio Annotation Pipeline for Speech Data Labeling | YPAI](https://ypai.ai/blog/data-engineering/audio-annotation-pipeline-speech-data-labeling/): How a production audio annotation pipeline works: stages, QA gates, common failures, and what to require from annotation vendors. - [Voice Command Datasets for Automotive NLU Training | YPAI](https://ypai.ai/blog/data-engineering/automotive-nlu-voice-command-dataset-training/): Why generic NLU datasets fail in automotive voice systems, and what a proper voice command dataset for in-car NLU training actually requires. - [Automotive Voice Data: In-Cabin AI Requirements | YPAI](https://ypai.ai/blog/data-engineering/automotive-voice-data-in-cabin-ai-requirements/): Generic ASR datasets fail in-cabin AI. Acoustic, speaker diversity, and metadata specifications for automotive-grade voice training data. - [Beyond Whisper: Custom Speech Data for Low-Resource ASR | YPAI](https://ypai.ai/blog/data-engineering/beyond-whisper-custom-speech-data-low-resource-languages/): When fine-tuning Whisper stops working and custom data collection is the only path to production-quality ASR. - [Build vs. Buy Voice Training Data for Enterprise ASR | YPAI](https://ypai.ai/blog/data-engineering/build-vs-buy-voice-training-data-enterprise/): Build vs. buy voice training data for enterprise ASR: when internal collection makes sense, when vendors win, and the hybrid model most teams use. - [Contact Center Voice AI: Training Data Procurement | YPAI](https://ypai.ai/blog/data-engineering/contact-center-voice-ai-training-data-procurement/): Contact center voice AI has unique training data requirements. What procurement teams miss when sourcing audio data for CX and call center AI systems. - [Data Collection Companies for AI Training | YPAI](https://ypai.ai/blog/data-engineering/enterprise-data-collection-ai-training/): How enterprise teams evaluate data collection companies for AI training: sourcing models, quality controls, compliance requirements, and vendor criteria. - [German Dialect ASR: Enterprise Training Data Requirements | YPAI](https://ypai.ai/blog/data-engineering/german-dialect-asr-enterprise-training-data/): Why German-language ASR fails across Bavaria, Saxony, Switzerland, and Austria -- and what production-grade training data must include to close the gap. - [Multilingual Speech Data for EU Enterprise | YPAI](https://ypai.ai/blog/data-engineering/multilingual-speech-data-eu-enterprise-procurement/): Why multilingual speech data for EU enterprise is harder than multiple monolingual corpora, and procurement decisions that affect scale. - [Multilingual Voice Dataset for Nordic ASR Training | YPAI](https://ypai.ai/blog/data-engineering/multilingual-voice-datasets-nordic-asr-training/): Nordic ASR fails on dialects because public datasets are too narrow. Here is what a dialect-balanced corpus requires for enterprise ASR. - [Why Scandinavian Enterprises Need EEA-Native Speech Vendors | YPAI](https://ypai.ai/blog/data-engineering/scandinavian-enterprises-eea-native-speech-data-vendors/): Nordic languages are systematically underrepresented in global voice datasets. Why Scandinavian AI deployments need EEA-native speech data suppliers. - [Speaker Diarization Training Data: Corpus Requirements | YPAI](https://ypai.ai/blog/data-engineering/speaker-diarization-training-data-requirements/): Diarization models need different training data than ASR. Multi-speaker corpus requirements and why single-speaker data fails in production. - [Speech Corpus Collection Services for Enterprise ASR | YPAI](https://ypai.ai/blog/data-engineering/speech-corpus-collection-enterprise-asr/): What separates a production-grade speech corpus from bulk audio. Requirements, data quality standards, and GDPR-compliant sourcing for enterprise ASR. - [Speech Corpus Collection Pricing: Enterprise Cost Drivers | YPAI](https://ypai.ai/blog/data-engineering/speech-corpus-collection-pricing-enterprise/): Five factors that determine enterprise speech corpus collection costs, and what cheap data actually costs when errors compound during model training. - [Custom Speech Corpus TCO vs Off-the-Shelf Datasets | YPAI](https://ypai.ai/blog/data-engineering/speech-corpus-tco-custom-vs-off-the-shelf/): Custom speech corpus vs off-the-shelf datasets: how to calculate the real total cost of ownership for your AI training data decision. - [Speech Data Vendor Due Diligence: 12 Questions | YPAI](https://ypai.ai/blog/data-engineering/speech-data-vendor-due-diligence-procurement/): Twelve due diligence questions to ask a speech data vendor before signing. Covers compliance, quality, sovereignty, and SLA requirements. - [Speech Data Vendor Evaluation for Enterprise ASR | YPAI](https://ypai.ai/blog/data-engineering/speech-data-vendor-evaluation-enterprise-asr/): Six criteria that separate production-grade speech data vendors from bulk suppliers, and how to run a pilot evaluation before committing. - [Speech Data Vendor RFP: Requirements Framework | YPAI](https://ypai.ai/blog/data-engineering/speech-data-vendor-rfp-requirements/): What to specify in a speech data vendor RFP: language scope, quality thresholds, GDPR compliance requirements, delivery format, and evaluation criteria. - [Speech Data Vendor Scorecard: Evaluation Framework | YPAI](https://ypai.ai/blog/data-engineering/speech-data-vendor-scorecard-evaluation-framework/): A weighted scorecard framework for evaluating and comparing speech data vendors across quality, compliance, coverage, documentation, and SLA criteria. - [Speech Data Vendor SLA Requirements for ASR | YPAI](https://ypai.ai/blog/data-engineering/speech-data-vendor-sla-requirements-production-asr/): WER thresholds, IAA minimums, batch rejection rights, and GDPR-specific SLA clauses to require from speech data vendors. - [Swedish and Danish ASR Dialect Challenges | YPAI](https://ypai.ai/blog/data-engineering/swedish-danish-asr-dialect-challenges-enterprise/): Swedish and Danish dialect variation causes ASR failures that Whisper fine-tuning cannot fix. What dialect-balanced training data requires. - [Synthetic Data Generation Tools for AI Training | YPAI](https://ypai.ai/blog/data-engineering/synthetic-data-generation-tools/): Synthetic data generation tools: GAN, LLM, and TTS approaches compared. Where they help, where they fail, and what data labeling companies recommend. - [Transcription Quality Benchmarks for LLM STT Training | YPAI](https://ypai.ai/blog/data-engineering/transcription-quality-benchmarks-llm-stt-training/): How transcription errors compound during LLM fine-tuning, which quality metrics matter, and what to require from annotation vendors. - [Sovereign Infrastructure | YPAI Insights](https://ypai.ai/blog/infrastructure/): Runtime, retrieval, and serving decisions behind production AI systems. - [Audio Data QA & Acceptance Criteria for AI | YPAI](https://ypai.ai/compliance/audio-data-qa/): Define measurable acceptance criteria, review coverage, exception handling, and evidence packages for audio data quality assurance. - [Dataset Provenance & Audit Documentation | YPAI](https://ypai.ai/compliance/provenance-audit/): Complete data lineage with provenance records, consent documentation, and audit-ready exports. Built for EU AI Act and GDPR compliance. - [Cookie Policy | YPAI](https://ypai.ai/cookie-policy/): Learn how YPAI uses cookies on ypai.ai. We use essential, analytics, and preference cookies in compliance with GDPR. - [Data Collection Infrastructure at YPAI: Technical Brief | YPAI](https://ypai.ai/data-collection/technical-brief/): Engineering-grade reference for ML, security, and procurement teams: architecture, schemas, evidence packages, and integration paths. - [Data Processing, Subprocessors and Security | YPAI](https://ypai.ai/data-processing/): How YPAI processes customer and project data: roles, data categories, lifecycle, security controls, subprocessors, transfers, retention and the documents available for review. - [EU Data Residency for AI Training Data | YPAI](https://ypai.ai/data-residency-eea/): How YPAI handles EU data residency: where data lives, who can access it, sub-processors, and jurisdictions that can compel disclosure. - [Managed Annotation Operations | YPAI](https://ypai.ai/data-solutions/annotation/): YPAI runs your annotation workload as a managed operation and delivers accepted, versioned ground truth judged against criteria agreed before volume. - [Multi-modal AI Training Data Collection | YPAI](https://ypai.ai/data-solutions/collection/): Audio, image, video, LiDAR, text, TTS, and parallel corpus under one master DPA. Per-contributor GDPR consent, EEA contributors. - [Ethical Framework | Sovereign EEA AI Data, GDPR | YPAI](https://ypai.ai/data-solutions/ethical-framework/): Norwegian Aksjeselskap, EEA residency by default, no US corporate entity. GDPR Article 28 DPA, 30-day erasure SLA, EU AI Act Article 10 documentation. - [Disclaimer | YPAI](https://ypai.ai/disclaimer/): Legal disclaimer for YPAI (ypai.ai). Information is provided as-is. Norwegian law applies. - [Arabic Speech Datasets (All Dialects) | YPAI](https://ypai.ai/en/data/arabic-speech-dataset/): Arabic speech datasets covering Modern Standard Arabic and regional dialects. Transcribed audio with license and provenance for enterprise ASR training. - [Speech and Voice Dataset Catalog | YPAI](https://ypai.ai/en/data/catalog/): Browse our collection of enterprise-grade audio datasets for voice AI development. - [German Speech Datasets (DE-DE, DE-AT, DE-CH) | YPAI](https://ypai.ai/en/data/german-speech-dataset/): German speech datasets covering DE-DE, DE-AT, and DE-CH. 1,000+ hours of off-the-shelf transcribed audio with license and provenance for ASR training. - [Indic Language Speech Datasets (Hindi, Tamil, Telugu) | YPAI](https://ypai.ai/en/data/indic-language-speech-datasets/): Indic language speech datasets covering Hindi, Tamil, Telugu, Bengali, Marathi, and Gujarati. Transcribed audio with license and provenance for ASR training. - [Multispeaker Datasets for Speaker Diarization | YPAI](https://ypai.ai/en/data/multispeaker-diarization-datasets/): Multispeaker diarization datasets with timestamped who-said-what speaker labels. Built for training and evaluating production speaker diarization systems. - [Noisy Speech Datasets for Model Robustness | YPAI](https://ypai.ai/en/data/noisy-speech-datasets/): Noisy speech datasets recorded in cafes, streets, offices, and vehicles. Real-world audio for training ASR models that stay robust in production noise. - [Nordic Language Speech Datasets | YPAI](https://ypai.ai/en/data/nordic-speech-datasets/): Nordic speech datasets for Norwegian, Swedish, Danish, Finnish, and Icelandic. Transcribed audio with license, provenance, and metadata for enterprise ASR. - [Training Datasets for TTS & Voice Cloning | YPAI](https://ypai.ai/en/data/tts-voice-cloning-datasets/): TTS and voice cloning datasets with studio-quality, high-fidelity recordings. Voice AI training data delivered with license, provenance, and metadata. - [Wake Word & Hotword Datasets | YPAI](https://ypai.ai/en/data/wake-word-datasets/): Wake word and hotword datasets: record any custom phrase. Wake word training data delivered with transcripts, speaker metadata, and license terms. - [Enterprise knowledge assistants for employees | YPAI](https://ypai.ai/enterprise-knowledge-assistants/): Build an internal knowledge assistant around approved company sources, employee permissions, citations, freshness controls and evaluation. - [AI Training Data for Financial Services | EU AI Act | YPAI](https://ypai.ai/financial-services-ai-solutions/): AI training data and annotation for financial services: EU AI Act Article 10 evidence, DORA Article 28 ICT risk, MiFID II retention. EEA-native delivery. - [Geospatial Data Solutions | YPAI](https://ypai.ai/geospatial-data-solutions/): Geospatial data collection, annotation, and validation services. Maps and spatial information turned into AI-ready datasets with EEA-only processing. - [Named Entity Recognition (NER) Annotation Services | YPAI](https://ypai.ai/named-entity-recognition-ner-annotation-services/): Managed NER annotation with custom entity schemas, reviewer calibration, adjudication, acceptance criteria, and pipeline-compatible delivery formats. - [AI Consulting, Data Services & Solutions | YPAI](https://ypai.ai/our-services/): End-to-end AI consulting, data services, model development, and governance by YPAI. From experiment to operational advantage for enterprise teams. - [Contact partnerships – YPAI | YPAI](https://ypai.ai/partners/contact/): Full-cycle AI data and infrastructure partner for regulated and enterprise AI. - [Schedule Partnership Meeting | YPAI](https://ypai.ai/partners/schedule/): Book a meeting with YPAI's partnership team. Choose from introductory calls, partnership reviews, technical demos, or strategic planning sessions. - [Robot Learning and Physical AI Data Collection | YPAI](https://ypai.ai/physical-ai-data-collection/): Collect, structure, annotate and evaluate robot-learning and industrial-vision data. Egocentric demonstrations, teleoperation, synchronized sensors, episode QA and format-native de - [Physical AI Data for Robotics and Robot Learning | YPAI](https://ypai.ai/physical-ai-data/): Recover, collect, structure, annotate and evaluate physical-world data for robot learning, autonomous systems and industrial vision. - [AI Pilot Projects for Data and Implementation | YPAI](https://ypai.ai/pilots/): Validate a customer-specific AI data, evaluation or implementation workflow against agreed requirements before production. Review the results in a dedicated pilot workspace. - [Privacy Policy | YPAI](https://ypai.ai/privacy/): How YPAI collects, uses, and protects personal data across the website and contributor platform. - [Audio Data Collection for AI | YPAI](https://ypai.ai/services/audio-data-collection/): Audio data collection for ASR, voice AI, and speech recognition. 210,000+ contributors, 150+ languages, documented per-contributor consent. - [In-Cabin Voice Training Data + ADAS Annotation | YPAI](https://ypai.ai/solutions/automotive/): In-cabin voice corpora in 150+ languages plus ADAS annotation. Wake-word, intent, and DMS audio in real cabin noise. - [Education AI training data and build engagements | YPAI](https://ypai.ai/solutions/education/): YPAI delivers procurement-grade training data, evaluation, and managed builds for education-AI teams, with Article 10, GDPR and WCAG evidence per engagement. - [Improve Whisper for European Languages | ASR Engineering | YPAI](https://ypai.ai/solutions/fixing-whisper-european-languages/): Managed ASR diagnosis, error analysis, adaptation, evaluation, and regression planning for European-language speech workloads. - [Clinical AI Data, Audit-Ready, EEA-Resident | YPAI](https://ypai.ai/solutions/healthcare/): Commission clinical AI data and evaluation, or turn a defined healthcare use case into an operational AI system. Consent, custody and delivery controls documented per engagement. - [Healthcare AI Data Solutions | YPAI](https://ypai.ai/solutions/healthcare/custom-data-collection/): Enterprise-grade, GDPR-aligned AI training data for healthcare. Accelerate diagnostics, drug discovery, and clinical operations with secure data infrastructure. - [Speech Data for Ambient Clinical AI | GDPR + EU AI Act | YPAI](https://ypai.ai/solutions/healthcare/hipaa-compliant-speech-data/): EEA-native speech data for ambient clinical AI, with GDPR Article 9 and EU AI Act Annex III evidence controls. US requirements reviewed during scoping. - [How to De-Identify Audio Data Under HIPAA | YPAI](https://ypai.ai/solutions/healthcare/how-to-de-identify-audio-data-hipaa/): Step-by-step guide to HIPAA-compliant audio de-identification: Safe Harbor and Expert Determination under 45 CFR 164.514, voice print handling, code examples. - [AI Act Risk Classification & Training Data | YPAI](https://ypai.ai/speech-data/ai-act-risk-classification/): EU AI Act risk classification guide. Article 10 training data requirements for high-risk AI systems. Understanding compliance obligations for AI providers. - [Consent Collection Framework | GDPR Speech Data | YPAI](https://ypai.ai/speech-data/consent-framework/): How we collect and document consent for speech data. Lawful basis under Art. 6, consent mechanics, data subject rights, and controller responsibilities. - [Data Residency & Sub-Processors | Enterprise Speech Data | YPAI](https://ypai.ai/speech-data/data-residency/): Data residency and cross-border handling for enterprise speech data collection. GDPR-aligned, sub-processors disclosed, controlled infrastructure. - [DPA Overview | Enterprise Speech Data | YPAI](https://ypai.ai/speech-data/dpa/): Data Processing Agreement overview for enterprise speech data collection. GDPR Article 28 aligned, sub-processors disclosed, audit documentation available. - [Engagement Model | Enterprise Speech Data | YPAI](https://ypai.ai/speech-data/engagement-model/): Enterprise engagement model for speech data collection projects. Phases, responsibilities, acceptance criteria, and governance procedures defined during scoping. - [EU AI Act Compliant Training Data | YPAI](https://ypai.ai/speech-data/eu-ai-act-compliant/): Audit-defensible speech data for regulated AI systems. Training data governance and documentation for organizations subject to EU AI Act conformity requirements. - [Evaluation Program | Enterprise Speech Data | YPAI](https://ypai.ai/speech-data/evaluation-program/): Structured evaluation of enterprise speech data before production engagement. Scope, controls, and terms defined during consultation. Enterprise only. - [GDPR-Compliant Speech Data Collection | Enterprise Defensible | YPAI](https://ypai.ai/speech-data/gdpr-compliant/): GDPR-compliant speech data collection with verifiable consent chains. Art. 6 lawful basis, Art. 9 biometric compliance, full audit trail. - [Language & Dialect Coverage | Enterprise Speech Data | YPAI](https://ypai.ai/speech-data/language-coverage/): Multilingual speech data with dialect-accurate coverage. 150+ languages delivered through enterprise engagements. Coverage defined per engagement during scoping. - [Retention & Deletion | Enterprise Speech Data | YPAI](https://ypai.ai/speech-data/retention-deletion/): Data retention and deletion governance for enterprise speech data. GDPR-aligned lifecycle handling and enforceable deletion obligations. - [Service Level Agreement | Enterprise Speech Data | YPAI](https://ypai.ai/speech-data/sla/): Service Level Agreement overview for enterprise speech data collection. Delivery milestones, acceptance criteria, quality gates, and reporting. - [Technical Specifications | Enterprise Speech Data | YPAI](https://ypai.ai/speech-data/technical-specifications/): Enterprise speech dataset specifications: audio formats, sample rates, metadata manifests, segmentation, and QA outputs for production ML pipelines. - [Contributor Terms of Service | YPAI](https://ypai.ai/terms/): Terms of Service for the YPAI contributor platform and website accounts. Enterprise engagements are governed by their own contracts. - [ThinkSustain AI | Sustainability Intelligence | Your | YPAI](https://ypai.ai/thinksustain-ai/): AI-powered sustainability intelligence for enterprise ESG reporting, carbon footprint analysis, and environmental data management. GDPR-compliant, European - [Video Data Collection and Evaluation | YPAI](https://ypai.ai/video-data/): Managed video data projects spanning collection, specialist modalities, rights, quality, acceptance and versioned delivery. - [Voice Recognition Solutions for Automotive | YPAI](https://ypai.ai/voice-recognition-for-automotive/): Automotive voice training data across 150+ languages, with in-vehicle acoustic conditions, contributor metadata, consent evidence, and annotation.