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YPAI

YPAI

We build the AI. And the data behind it.

softwareAI ProductivityAI implementationAI data servicesdata evaluation

What is YPAI?

YPAI is a Norwegian company providing AI data, evaluation, and implementation services. It builds production AI systems around defined workflows and also delivers the multimodal data used to train, evaluate, and improve those systems. YPAI offers two service lines—AI Implementation and AI Data & Evaluation—under one accountable delivery model, with traceable data assurance records, a controlled delivery operating layer, and a continuous improvement loop from first deployment to validated release.

Key Features of YPAI

AI Implementation service line
AI Data & Evaluation service line
Connected engagement model
Owned data collection and annotation infrastructure
Data assurance records and change records
Controlled Delivery operating layer
Improvement loop methodology
Pilot / first validation option
Multi-industry operating context support
Contributor network: 210,000+, 50+ countries, 150+ languages
Self-hosted annotation infrastructure
Norwegian company with EEA-based processing

Use Cases for YPAI

1

AI and model teams

Training and evaluation data, model assessment, multilingual performance, and release evidence.

2

Automotive and mobility

In-cabin, voice, perception, and multimodal data for real-world operating conditions.

3

Robotics and Physical AI

Task demonstrations, human motion, 3D, sensor data, and evaluation for embodied systems.

4

Healthcare and life sciences

Sensitive data handling with project-specific review requirements and traceable processing.

5

Financial services

Document intelligence, workflow automation, human review, and change control.

6

Public and industrial systems

Operational AI with defined security, residency, and continuity requirements.

How to use YPAI?

1

Choose a starting point

Users can start with either AI Implementation or AI Data & Evaluation, then connect both if the system and data need to improve together.

2

Submit a project brief

Submit the project objective, known constraints, and the first delivery decision via the website brief form.

3

Scope and agree the first delivery

YPAI scopes the engagement, acceptance criteria, quality thresholds, and commercial terms before production begins.

4

Validate the first delivery

YPAI provides a pilot or first delivery to prove performance against the agreed baseline and acceptance criteria.

5

Scale and improve

After validation, YPAI iterates through the improvement loop: deploy, measure failure, change the right layer, and validate the next release.

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About the Product

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Platforms
Target AudienceAI and model teams, automotive and mobility, robotics and physical AI, healthcare and life sciences, financial services, public and industrial systems

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Tags

AI implementationAI data servicesdata evaluationtraining datadata annotationmultimodal dataAI agentsRAGdocument intelligenceworkflow automation

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