The reproducibility crisis is a provenance crisis. Parable Research gives every experiment a verifiable chain of custody — from instrument calibration and raw data capture, through analysis and peer review, to publication and replication. Quantum-resistant by default. Mathematical certainty, not voluntary trust.
More than 70% of researchers have failed to reproduce another scientist's results. In cancer biology, replicated effect sizes were 85% smaller than originally reported. An estimated $85 billion a year is wasted globally on research that cannot be reproduced — and fraudulent science is now growing faster than legitimate science.
The root cause is structural: there is no verifiable chain of custody from instrument to publication. Today's safeguards are voluntary, fragmented, and trust-based. Parable builds integrity in from the first byte — so deviations become visible the moment they happen, not years later in a retraction.
Analysis plans bent after the fact to manufacture significance.
2% of scientists admit fabricating; raw data is rarely signed at source.
The exact transformations applied to data are undocumented and unverifiable.
Genomic & clinical data with 50-year lifespans face harvest-now, decrypt-later attacks.
Every claim backed by cryptographic proof. A new standard above “peer-reviewed”: provenance-verified.
Every hypothesis, dataset, transformation, and result carries its own verifiable chain of custody. Know what was done, by whom, when, and with which parameters — end to end.
NIST FIPS 203/204 (ML-KEM, ML-DSA) signatures protect datasets for 50+ years. The only integrity layer built to outlive the cryptographically-relevant quantum computer.
Maps directly to ALCOA+, 21 CFR Part 11, GLP/GMP and ISO 17025. Forensic-grade chain of custody per RFC 3227 and ISO/IEC 27037 — designed for compliance, never retrofitted.
A cryptographic proof at each stage of the research lifecycle. The protocol doesn't care what the data describes — it proves where it came from, what happened to it, and that nothing has changed.
A lightweight agent signs raw data at the point of generation — mass spectrometers, sequencers, microscopes, analytical balances — binding instrument state, calibration, operator identity and environmental conditions to every reading.
Every notebook entry signed with researcher identity and timestamp. Each edit creates a new signed version linked to the last — a tamper-evident history of the science as it happened.
Containerised computation produces a Computation Proof Certificate — hashing input data, code, environment, dependencies and random seeds against outputs. Verifiable evidence that these inputs produced these results.
Replicators access the full provenance chain of the original study, compare conditions side by side, and pinpoint exactly where methods diverged — turning failed replications into precise, actionable findings.
Parable runs alongside the platforms labs already trust — adding a cryptographic layer beneath the tools researchers use every day.
Sign every entry at the notebook layer, with versioned chains per edit.
21 CFR Part 11 integrity for trial data and regulatory submissions.
Quantum-resistant provenance for data with 50-year lifespans.
Dataset and model-card provenance for reproducible ML & EU AI Act readiness.
A provenance layer beneath the identifiers research already relies on.
JATS-compatible API and a “provenance-verified” badge for journals.
Parable Research is powered by the Ma'atara Protocol — a patent-pending, 7-layer post-quantum architecture delivering sub-millisecond verification from the laboratory edge to the institutional core.
Edge-first and federated: no central point of failure, no single-vendor dependency, and privacy-preserving verification so labs can prove integrity without exposing proprietary datasets.
We're open-by-default and collegial by design. Whether you run a lab, build research software, publish journals, fund science, or invest in deep-tech — we want to co-develop this with you.
Pilot the instrument gateway and ELN anchor on a live study. We'll work hands-on with your team and shape the SDK around real bench workflows.
An open plugin SDK for ELN, LIMS, and ML-tracking vendors. Add cryptographic provenance to your product without re-architecting it.
Offer a “provenance-verified” tier and turn funder data-management mandates into something measurable and enforceable.
We actively engage NISO, RDA, FORCE11 and CODATA to advance FAIR with a cryptographic enforcement layer — contributions welcome.
A multi-billion-dollar market with regulatory tailwinds (FDA, EMA, NIH, UKRI) and a worsening crisis as the wedge. Ask for the strategic brief.
Systematic, preventive monitoring for ORI, UKRIO and ARIC — pre-crime provenance instead of post-hoc retraction.
Every layer maps to internationally recognised data-integrity and evidence standards.
We work with universities, pharma, CROs, publishers, funders and research-software teams to deploy quantum-resistant integrity infrastructure. Tell us about your work — we'd love to collaborate.