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.
Procurement position
SFT, process supervision, agent training, benchmark construction, robustness testing, targeted regeneration
Current catalogue specification
- Catalogue reference
- AMS-ENT-005
- Data family
- Curated & Hybrid
- Classification
- Hybrid
- Domain
- Cross-domain
- Scale / access
- Buyer-defined
- Format / delivery
- JSONL + source artifacts + schema + ground truth + provenance
- Evaluation access
- Calibration pack on request
- Current status
- Custom configuration
Qualification before commitment
Requires documented rights, privacy and processing basis for any real-data component before curation begins.
- 01Requirement fit
Lock intended use, target scale, format, metadata and acceptance criteria.
- 02Representative evaluation
Review the available sample, case, worked pack or product materials where supported.
- 03Documentation & rights
Confirm provenance, permitted use, de-identification or generation position as applicable.
- 04Commercial scope
Finalize delivery, licence or service terms, milestones and acceptance.
Listing and delivery controls
This public technical profile supports buyer discovery. It does not by itself transfer rights, guarantee the final delivery volume or replace definitive technical, licensing and commercial terms.
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