Before
- Different format requests from each buyer.
- Manual rework for metadata and sync checks.
- Repeated delivery rejection and long acceptance cycles.
Use case · data aggregators
For data aggregators selling to many buyers.
Your bottleneck is rarely collection. It is buyer-specific transformation, validation mismatch, and delayed acceptance.
01 / before & after
Same capture. Different delivery economics.
After
- One pipeline and one canonical representation.
- Automated conformance checks before buyer delivery.
- Reusable exports for multiple buyer formats.
02 / integration
One gateway. Many buyer outputs.
Connect your uploader API to the BR ingest gateway. Pass required metadata. Choose one or many target buyer profiles. The pipeline returns release bundles plus signed conformance reports — one per buyer, all from the same canonical source.
03 / common questions