The AI InfrastructureThat Survives Production

YPAI provides end-to-end AI data infrastructure for regulated industries. We cover seven service lines: data collection across 150+ languages, multi-modal annotation with domain specialists, AI infrastructure and MLOps, strategic consulting, compliance architecture, industry-specific solutions, and production deployment. Unlike vendors that offer one piece of the pipeline, YPAI handles everything from raw data acquisition through annotation, model training, compliance certification, and production deployment — under one contract, one DPA, and one point of accountability.

YPAI's infrastructure is designed to satisfy EU AI Act, GDPR, HIPAA, SOC 2, and FedRAMP requirements simultaneously. Our EU AI Act readiness includes Article 10 data governance with full provenance tracking, bias documentation, and transparency requirements built into every dataset. For GDPR, we provide data protection by design with consent management, data minimization, and lawful basis documentation. For US-regulated sectors, our infrastructure aligns with HIPAA for healthcare data and FedRAMP for government AI procurement.

YPAI is Norwegian-incorporated and EU-hosted. This means your data is structurally outside US jurisdiction — not by contractual arrangement, but by corporate law. The CLOUD Act (Pub. L. 115-141, 2018) allows US federal law enforcement to compel US-incorporated companies to produce data regardless of where it is stored. Because YPAI is not a US entity, this does not apply. For organizations building AI that processes European citizen data, this jurisdictional structure eliminates an entire category of compliance risk.

YPAI serves six regulated verticals: defense and government (ITAR-cleared operations, FedRAMP-compatible infrastructure), healthcare and life sciences (HIPAA-compliant pipelines, clinical NLP), financial services (document AI, risk modeling), automotive and mobility (ADAS, autonomous driving, in-cabin AI with ISO 26262 compliance), manufacturing and industrial (quality vision, predictive AI, CSRD reporting), and enterprise AI (LLM training data, RAG pipelines). Each vertical has purpose-built data pipelines that understand the specific compliance requirements, terminology, and deployment constraints.

Engagements follow three phases. First, we scope your requirements — data needs, compliance obligations, deployment timeline — and deliver a signed data strategy document. Second, our domain experts collect and annotate your data using industry-specific taxonomies, with quality verified by specialists (not statistical sampling alone) and audit-ready documentation at every checkpoint. Third, we deliver production-ready datasets with monitoring, versioning, and compliance documentation, plus ongoing governance for regulatory changes. One team handles all three phases.

YPAI prices on a per-project basis, scoped to your specific data requirements, volume, complexity, and compliance needs. We do not use per-seat or per-API-call pricing. Every engagement starts with a scoping call where we map your requirements and provide a detailed proposal. For enterprises with ongoing data needs, we offer retainer agreements with predictable monthly costs. Contact us to discuss your specific requirements — there is no commitment required for the initial scoping conversation.

Data security is architectural, not bolted on. All data is processed in EU-hosted infrastructure with full data residency controls. We maintain no third-party data processors in our pipeline — collection, annotation, infrastructure, and compliance are all in-house. Every dataset ships with provenance chains, consent documentation, and bias audits. Access controls, encryption at rest and in transit, and audit logging are standard. For classified or sensitive workloads, we offer isolated infrastructure with additional security controls tailored to your requirements.

Yes. YPAI has two AI products in active production deployment: ThinkSustainAI for automated CSRD and ESG reporting in industrial companies, and Augnito Omni for clinical speech recognition across Nordic languages (Norwegian, Swedish, Danish, Finnish). Both products are built on YPAI's proprietary speech corpora, annotation pipelines, and GDPR-native data infrastructure — proving that our infrastructure can deliver end-to-end from data to deployed product. Additional vertical products are in development for automotive and agentic AI workflows.