Revolutionize Regulatory Audits
Create un-hackable, verifiable clinical trial pipelines that provide cryptographic certainty to regulators like the FDA.
The Problem: Opacity and the Risk of P-Hacking
Proving the integrity of a clinical trial analysis is a high-stakes, manual, and often opaque process.
Regulators need absolute certainty that the statistical analysis plan wasn't altered after the trial data was unblinded—the very definition of p-hacking. How do you prove, with cryptographic certainty, that your methods were defined *before* you saw the results?
The Solution: Verifiable Workflows
Composable Science provides distinct, cryptographically secure, and timestamped workflows to ensure the highest degree of scientific integrity.
Workflow 1: Pre-Registered & Blinded Analysis (The Gold Standard)
This workflow provides maximum integrity by ensuring the analysis method is locked in before the data is seen.
1. Code is Committed First (Pre-Registration)
Before the trial is unblinded, the analysis script is committed to the ledger as a verifiable attestation. This creates a permanent, timestamped record of the exact methodology.
2. Data is Ingested
After the trial is complete, the dataset is ingested and attested to on the ledger. Its timestamp is provably *after* the code commitment.
3. Verifiable Randomization
A trusted Composable Science bot deterministically randomizes participants into treatment and control groups, creating a new, verifiable artifact. This removes any possibility of human bias from this critical step.
4. Blinded Analysis is Verified
The final step runs the pre-registered code on the randomized data. The result is an unbreakable, verifiable chain of evidence from methodology to conclusion, making p-hacking impossible.
Workflow 2: Privacy-Preserving Claims with Later Revelation
For sensitive data, make a private claim backed by a Zero-Knowledge Proof, then verify it publicly once the data can be revealed.
1. Private Claim is Made
A computation is performed on private data. A ZKP is generated, and a socially attested claim is published with the public outputs, but not the private inputs.
2. Data is Revealed
At a later date (e.g., after a patent filing or trial conclusion), the original private data is made public and ingested via a standard `external_data_import` attestation.
3. Public Verification Confirms Claim
A final `verification_of_revealed_computation` attestation is created. It re-runs the computation on the now-public data and verifies that the output matches the original private claim, closing the trust loop.
An Ironclad, Automated Audit Trail
Cryptographic Certainty
The Composable Science explorer makes this chain of events visually explicit. A regulator can see with certainty that the analysis code was locked in *before* the data was available.
Full Traceability
The final result is verifiably linked to *both* the pre-registered code and the specific dataset, eliminating any ambiguity in the process.
Privacy-Preserving Path
For sensitive trials, claims can be made privately first using a `private_computation_proof` and then fulfilled later with a `verification_of_revealed_computation`, preserving privacy without sacrificing verifiability.
Automated Verification
This isn't just a promise of good practice; it's a verifiable, machine-readable proof of integrity that can be checked automatically.