How It Works
From requirements to delivery — how we source, vet, and deliver private engineering artifacts for your AI training pipelines.
1
Requirements
You share what you need — stack, domain, artifact types, volume, quality bar, and whether you need linked artifacts across tools.
2
Sourcing
We identify candidates through our network, run programmatic quality checks (commit frequency, PR activity, code structure), and conduct human review.
3
Delivery
Artifacts are delivered with full metadata, in your preferred format. Licensing is clear, transfer is secure, and documentation is included.
4
Iteration
Ongoing delivery for teams that need continuous data. Custom batches, expanding datasets, and feedback loops to refine quality.
Compliance & Sourcing Standards
- Contract-backed sourcing
- Clear IP ownership transfer
- No scraped or synthetic data
- Secure delivery (encrypted transfer, access controls)