Governed Datafor Regulated AI
YPAI helps regulated teams collect, annotate, validate, and document multimodal data with European jurisdiction, consent evidence, and production accountability.
Project experience across automotive, speech AI, and enterprise data programmes
Names shown where public project or brand evidence is already present in the site.
CAPABILITIES
What YPAI can take responsibility for.
From contributor recruitment and annotation to QA records, data infrastructure, and deployment support under one accountable engagement.
Data Collection
COREContributor recruitment, consent capture, and multimodal dataset production with traceable provenance.
Annotation & Labeling
Image, video, audio, text, and sensor annotation with guidelines, sampling, and QA records preserved.
AI Infrastructure
Data pipelines, model workflows, and delivery environments designed for residency and auditability.
AI Consulting
Architecture, governance, and deployment planning for AI systems that must pass procurement review.
Industry Solutions
Domain-specific data paths for automotive, healthcare, finance, government, and industrial AI programmes.
Compliance & Trust
EU AI Act and GDPR evidence planning across consent, lineage, QA, and delivery documentation.
PROCUREMENT READINESS
Regulated AI Needs Evidence.
Not Just Vendor Promises.
YPAI builds the records regulated buyers need before model deployment: contributor consent, dataset lineage, QA evidence, risk notes, and jurisdiction-aware infrastructure decisions. EU AI Act and GDPR requirements are treated as operating constraints from the first scoping call.
Evidence package
EU AI Act
Article 10 data governance support with provenance tracking, dataset documentation, and bias evidence.
GDPR
Consent records, lawful-basis documentation, minimization controls, and data-subject workflow support.
EU data residency
Norwegian company structure and EEA operating model for teams that require European jurisdiction.
We map the evidence package to your data, risk class, and deployment environment.
WHY REGULATED BUYERS CHOOSE YPAI
European Jurisdiction, Clear Accountability, Reviewable Evidence.
The operating model is designed for teams that have to explain where data came from, how it was reviewed, and who is accountable for delivery.
European Jurisdiction Is Structural.
YPAI is a Norwegian company, operated from the EEA. For regulated teams, that structure is part of the control model, not a paragraph added to a contract.
One Accountable Operating Layer.
Collection, annotation, validation, infrastructure, consulting, and deployment support can sit under one accountable programme. That reduces handoffs, vendor ambiguity, and evidence gaps when the project moves from prototype to production.
Domain Review Beats Anonymous Crowd Work.
Medical terminology requires medical knowledge. Legal reasoning requires legal training. Automotive functional safety requires automotive specialists. YPAI routes review through reviewers who understand the domain, the regulatory context, and the deployment consequence.
Governance Starts Before Data Collection.
Compliance cannot be repaired at the end of a dataset. YPAI scopes consent, provenance, quality controls, and risk documentation before collection starts, then keeps that evidence attached through annotation, delivery, and deployment.
YPAI BY THE NUMBERS
Languages Supported
Speech, audio, text, and multilingual data programmes.
Video Files Handled
Collection and review volume across video data operations.
Language Pairs
Parallel corpus and MTPE support for multilingual systems.
Operating Model
Norway-operated structure for regulated data buyers.
INDUSTRIES WE SERVE
Built for Buyers With Operational Risk
Healthcare, mobility, finance, government, and industrial teams need traceable data, defensible QA, and delivery records that survive review.
Defense & Government
Controlled data workflows for public-sector and defence-adjacent AI programmes.
Healthcare & Life Sciences
Clinical NLP, medical imaging, and consent-aware healthcare datasets.
Financial Services
Document AI, model governance support, and risk-focused data workflows.
Automotive & Mobility
ADAS, in-cabin AI, mobility datasets, and safety-sensitive annotation.
Manufacturing & Industrial
Quality vision, industrial data capture, and reporting automation support.
Enterprise & AI
LLM training data, RAG evaluation, RLHF, and benchmark datasets.
Or describe the operating environment and YPAI will scope the data path.
OUR PROCESS
How a YPAI Engagement Moves From Data to Deployment
A controlled path from scoping to delivery, with evidence preserved at each checkpoint.
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
One team. One evidence trail. One point of accountability.
Start With a Scoping Brief for Your Data Programme.
Share the modality, jurisdiction, risk class, and validation target. YPAI will map the first governed data path with your team.
Your information is never shared. We respond with the next scoping step.