On-chain provenance
Every registered dataset and algorithm a graph: who did what, when, with which inputs. The chain stores hashes and metadata, while bulk data stays in your secure storage.
From experiments to verifiable chains.
Most scientific results still live in scattered folders. We bind participants, experiments, analyses, and outputs to blockchain entries so anyone can see what was done, when, and with which data.
Our infrastructure is designed for real labs: messy data, evolving protocols, and limited engineering support.
The animated scientist is a metaphor: experiments and code flow into a test tube, and out comes a cryptographic link that attaches to a larger chain of evidence.
Every registered dataset and algorithm a graph: who did what, when, with which inputs. The chain stores hashes and metadata, while bulk data stays in your secure storage.
We pin exact versions of analysis images and configurations, so downstream users can re-run and confirm figures are indeed representing what was originally claimed.
Smart contracts act as programmable gatekeepers: they govern who can discover, request, or compute over your datasets, while you keep custodial control.
Built for labs, consortia, and data infrastructures that need more than nice figure panels.
Lock pre-registered analysis plans and parameter ranges on-chain, so deviations and explorations are visible, not hidden.
Publish datasets with a formal provenance trail and attach them to analysis contracts that anyone can re-run.
Use tokens or credits to reward robust replications, meta-analyses, and stress tests instead of only rewarding novel claims.
We’re looking for labs, data consortia, and infrastructure teams interested in piloting blockchain-backed scientific workflows.
Tell us about your data, your constraints, and what guarantees you wish you had today.