Research Labs

Reproducibility crisis. When compute pipelines aren't verified, data provenance is unclear, and experiments can't be replicated — trust in science erodes. Every unverified computation is a potential retraction.

confidence thresholdPASSSIGNAL HEALTH — PHASE-TIME ANALYSIS
Compute Verified
SignalComputeAI OutputAuditIncidentSettlement85%AVG CONFIDENCE

If You Can't Prove It Happened, It Didn't Happen

  • 50%+ of published research results cannot be independently replicated
  • Compute pipelines produce results without verification — silent bugs propagate
  • Data provenance is unclear: which version of which dataset produced which result?
  • Collaboration confidence is low: can you trust a result you didn't compute yourself?

Verified Research Pipelines

  • VeriCompute: compute integrity for research — every result carries a provenance attestation
  • ProofCarry: verified data provenance from raw data to published figure
  • Safety Gateway: confidence-governed result promotion — reject results that don't meet reproducibility thresholds
  • CryptoFlow: document authenticity for publications and pre-prints

Research Metrics

Reproducibility Score0%
Data Provenance0%
Collaboration Trust0%

From Raw Data to Verified Publication

Every computation generates a VeriCompute attestation. Every data transformation is logged with ProofCarry. Safety Gateway gates results before they reach collaborators — only results that pass confidence thresholds get promoted. When a reviewer asks 'how did you get this result?', the answer is a complete, tamper-proof chain from raw data to figure.