Curated & Hybrid AI Data Program
Transforms suitable buyer-owned or appropriately licensed enterprise data into structured AI-ready learning assets, then expands coverage with controlled synthetic cases calibrated against measured real-world patterns.
Technical overview
Designed for
SFT, process supervision, agent training, benchmark construction, robustness testing, targeted regeneration
Before commitment
Requires documented rights, privacy and processing basis for any real-data component before curation begins.
What a qualified evaluation covers
Confirm intended use, target cohort or domain, format, scale and acceptance criteria.
Review representative samples or product materials where evaluation access is available.
Confirm provenance, permitted use, de-identification or generation position and delivery restrictions as applicable.
Lock deliverables, licence or service terms, milestones, acceptance criteria and transfer method.