One engine. Four engagements shaped around what you're trying to defend — an FDA submission, a journal revision, an investor memo, or a proprietary cohort. Priced to match scope. Scoped to match evidence requirements.
A dedicated instance of the RocSite Discovery Engine running against your proprietary patient data. The engine automatically detects contradictions between your outcomes and published literature, and generates a monthly report with evidence hashes and OSF pre-registration for every finding.
Pharma · health systems · clinical AI companies with proprietary data.
Data use agreement, environment provisioning, access controls.
Cohort definition, literature baseline sweep, contradiction thresholds.
Engine executes. Twin consensus validation. Novelty scoring.
Report delivery, pre-registration, audit trail handoff.
Independent falsification testing of your model or claim before FDA submission or hospital procurement. This is the only independent adversarial validation service with a published peer-reviewed methodology. Not proprietary. Not a black box. Citable.
Clinical AI companies · hospital systems · pharma outcomes teams.
We run the engine against your proprietary cohort. Joint analysis, joint interpretation, co-authored publication with RocSite methodology credited. All code published openly. OSF pre-registration before any analysis runs.
Academic medical centers · mid-size pharma · contract research organizations.
Run any paper, clinical study, FDA submission, or outcomes claim through the RocSite contradiction engine. Receive a scored report signed with Ed25519 cryptographic attestation — suitable for regulatory submission, investor due diligence, or a journal peer-review response.
This is the product the FDA eventually asks everyone to run first.
Per paper, per submission, per claim. Volume pricing for portfolios.
A 0–100 composite built from five independently-scored axes. Each axis runs against the full engine, not a spot-check.