YPAI builds production AI systems and provides the multimodal data used to train, evaluate and improve them. Its two service lines—AI Implementation and AI Data & Evaluation—can be engaged separately or combined under one delivery model when a project depends on both system performance and data quality.

Implementation services cover discovery and architecture, AI assistants and chatbots, retrieval-augmented generation (RAG), knowledge systems, document AI, workflow automation, agents, and private or enterprise deployment. YPAI helps turn defined workflows into systems that can be operated, evaluated and improved.

Data services include consent-led collection, dataset sourcing and licensing, annotation, labeling, validation, and human evaluation. Supported data types include speech and audio, images, video, text, 3D, and sensor data. The company also offers pilots to validate a delivery approach before scaling.

YPAI connects project requirements with contributor qualification, consent and rights records, technical checks, human review, and versioned delivery. Its stated goal is to keep evidence about how data was produced, assessed and updated linked to each release, supporting traceability and accountable delivery across a range of industries.