Impact intelligence for institutional data
EDT traces where your datasets land in the real world: the policies they shape, the budgets they move, and the systems that run on them. It then turns that into cited reports a skeptic can audit.
Illustrative Adoption score
NDBC · National Data Buoy Center
62 / 100 · plausible range 48–74
An example of the score's shape, not a real reading. Every real figure is computed after a report is saved, from independently verified evidence, and carries its own plausible range.
Every data program eventually faces the same question: does any of this actually matter?
The buoys, models, and archives an institution funds are only as defensible as the impact it can show for them. EDT answers with research a skeptic can audit: cited evidence, a single defensible score, and the receipts behind both.
Cited evidence
Every claim links to a source a skeptic can open and check.
A defensible score
One adoption figure, weighted across six dimensions, computed server-side from stored evidence.
The receipts
A complete, exportable trail behind every number.
Three pillars · one pipeline
Measure. Discover. Prove.
One platform carries a dataset from a name to a defensible story, then keeps that story current.
- Discover sources
- Spawn researchers
- Extract findings
- Draft the dossier
- Compute REACH
- Verify citations