A diagnostic company submits evidence for a new assay. The submission gets kicked back. Not because the science is wrong, but because the audit trail was incomplete.
So the team spends weeks reconstructing provenance from logs, emails, and spreadsheets. This happens every time.
A pharma company runs a multi-site clinical trial. Each site collects data in its own EDC system. At the end of the trial, the data management team spends months reconciling discrepancies: duplicate patient records, inconsistent variant nomenclature, conflicting lab reference ranges. None of this is new science. It's alignment work — making sure that what Site A recorded as 'BRAF V600E' is the same thing Site B recorded as 'BRAF p.V600E' and Site C recorded as 'c.1799T>A.' The trial produced the data months ago. The rework is still ongoing.
The Hidden Cost
Every re-validation, re-audit, and re-submission exists because the evidence wasn't generated properly the first time.
A trial coordinator re-checks data that was already validated at the site level, because there's no shared proof that the validation happened. A compliance team reconstructs lineage for a regulatory filing, because the execution system didn't capture it.
The science advances. The rework repeats.
This is a hidden tax on the entire ecosystem. It doesn't show up as a line item. It shows up as slower timelines, larger teams, and missed deadlines.
Veridata generates compliance artifacts during execution, not after, so there's nothing to reconstruct.