Enterprise Services

AI data and infrastructure for regulated teams.

YPAI brings collection, annotation, validation, infrastructure, and deployment support into one accountable operating model for buyers that need European jurisdiction and reviewable delivery records.

Operating layers

One engagement model across data, infrastructure, and governance.

01

Data Production

Multimodal training data collected and annotated with consent records, provenance, and quality controls attached from the start.

  • Speech and audio
  • Image and video
  • Text and NLP
  • Sensor data
02

AI Infrastructure and Development

Data pipelines, model workflows, and deployment environments for buyers that need residency, auditability, and operational control.

  • Pipeline design
  • Voice platforms
  • Multimodal workflows
  • Custom deployment
03

Enterprise Consulting and Deployment

Governance, architecture, and delivery support for AI programmes that must satisfy procurement, legal, data, and security stakeholders.

  • Governance frameworks
  • Risk notes
  • LLM workflows
  • Delivery documentation

Service groups

Structured around how enterprise data work is bought.

The top-level menu is grouped by annotation, collection, and model support so buyers can reach the right capability without decoding the full service catalogue.

Delivery records

Evidence is planned before production starts.

Regulated buyers need more than completed files. They need the supporting records that show consent, lineage, guidelines, QA decisions, and delivery acceptance.

Consent records
Dataset lineage
Annotation guidelines
QA sampling results
Risk notes
Delivery documentation