GENERATIVE AI ON EUROPEAN INFRASTRUCTURE
YPAI builds and operates generative-AI capabilities on EEA infrastructure: a packaged chatbot on your private data, or custom multimodal agents with provenance evidence.
CHOOSE YOUR DEPLOYMENT PATH
Pick the path that matches your team. The infrastructure underneath is the same.
FOR GROWING TEAMS
YPAI builds and deploys a generative-AI capability for your business: internal chatbots, document AI, RAG over your knowledge base. Hosted on EEA infrastructure. No in-house ML team required.
FOR REGULATED INDUSTRIES
For finance, healthcare, automotive, and manufacturing teams adopting generative AI under GDPR + EU AI Act constraints. Provenance, consent, and governance preserved end-to-end.
FOR ENTERPRISE ARCHITECTURE
Custom LLM integration, multimodal agent workflows, and applied AI consulting. From data production through deployment, engineered for your operational environment.
WHAT YPAI OPERATES
The same operating model powers every engagement, from a packaged SMB chatbot to a sovereign enterprise rollout.
Collection, annotation, transcription, TTS, RLHF, parallel corpus, and multimodal datasets across 150+ languages. Consent and provenance preserved per record.
Deliverable: Documented dataset with consent + provenance ledger
ASR development and deployment, custom data pipelines, RAG indexes, fine-tuning environments. EEA-resident by default, on-premise or VPC available.
Deliverable: Production environment with documented topology
Custom LLM integration, multimodal agent workflows, BPA, sales / outreach automation, conversational AI, NLP solutions, predictive analytics, governance frameworks.
Deliverable: Deployed capability with operational runbook
Collection, annotation, transcription, TTS, RLHF, parallel corpus, and multimodal datasets across 150+ languages. Consent and provenance preserved per record.
Deliverable: Documented dataset with consent + provenance ledger
ASR development and deployment, custom data pipelines, RAG indexes, fine-tuning environments. EEA-resident by default, on-premise or VPC available.
Deliverable: Production environment with documented topology
Custom LLM integration, multimodal agent workflows, BPA, sales / outreach automation, conversational AI, NLP solutions, predictive analytics, governance frameworks.
Deliverable: Deployed capability with operational runbook
COMPLIANCE BUILT IN, NOT BOLTED ON
Every deployment ships with evidence your auditor accepts.
Evidence package included with every engagement
Data governance obligations for high-risk AI systems are addressed structurally, not as an after-the-fact memo.
Lawful basis for processing is recorded per data subject, with consent receipts and erasure SLA preserved through the pipeline.
Collection, processing, and storage operate from Norwegian and EEA infrastructure. No CLOUD Act exposure.
We map the evidence package to your data, risk class, and deployment environment.
YPAI BY THE NUMBERS
Languages Supported
Speech, audio, text, and multilingual data projects.
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
Healthcare, mobility, finance, government, and industrial teams need traceable data, defensible QA, and delivery records that survive review.
Controlled data workflows for public-sector and defence-adjacent AI deployments.
Clinical NLP, medical imaging, and consent-aware healthcare datasets.
Document AI, model governance support, and risk-focused data workflows.
ADAS, in-cabin AI, mobility datasets, and safety-sensitive annotation.
Quality vision, industrial data capture, and reporting automation support.
LLM training data, RAG evaluation, RLHF, and benchmark datasets.
Or describe the operating environment and YPAI will scope the data path.
WHERE THIS LANDS
Healthcare, mobility, finance, government, and industrial teams need traceable data, defensible QA, and delivery records that survive review.
Controlled data workflows for public-sector and defence-adjacent AI deployments.
Clinical NLP, medical imaging, and consent-aware healthcare datasets.
Document AI, model governance support, and risk-focused data workflows.
ADAS, in-cabin AI, mobility datasets, and safety-sensitive annotation.
Quality vision, industrial data capture, and reporting automation support.
LLM training data, RAG evaluation, RLHF, and benchmark datasets.
WHAT THE STACK LOOKS LIKE
Every deployment has the same shape: traceable data, controlled infrastructure, reviewable evidence. The visual below is the deployment topology YPAI hands procurement.
Indexed retrieval over your documents, hosted in your jurisdiction. Vector store + embedding model + LLM, all instrumented for audit.
Custom fine-tunes on YPAI-produced or your own data. Documented training run, repeatable, reviewable.
Agents that read PDFs, images, video, and sensor streams. Action-grounded, with human-in-the-loop where the risk profile requires it.
150+ languages on the data side, 25+ in production for ASR. Multilingual agents and translation workflows come without vendor stitching.
Eval sets that match your use case. RLHF, red-teaming, and human evaluation with documented annotator agreement.
Consent ledgers, provenance chains, and audit trails are not a separate workstream. They are emitted by the pipeline that produces the deployment.
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.
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Tap the Share button, then Add to Home Screen.
