Consensix Labs

Consensix Labs

Research

We publish research on practical applications of blockchain technology — ideas grounded in real problems and aimed at solutions that could realistically be built.

Some of our research produces conceptual frameworks and architectural proposals that map out how a problem could be solved. Some goes further, resulting in working proofs of concept that demonstrate a solution end to end. And some evolves into fully functional applications and tools. What ties it all together is a focus on practicality: we’re not interested in research for its own sake, but in work that moves toward something usable.

Published Research

Transparent Charitable Donation Tracking

Transparent Charitable Donation Tracking

A protocol and working proof of concept for transparent tracking of charitable funds throughout their full lifecycle: donation, allocation to specific purposes, and disbursement to recipients. A single Solidity contract holds donated ETH in escrow and records every decision on-chain with timestamps, amounts, and SHA-256 hashes linking to off-chain evidence. The charity retains full operational control; the blockchain adds an independent, real-time audit trail that anyone can query without the charity’s cooperation.

The proof of concept implements the protocol as a single Solidity 0.8.28 contract and exercises it through shell scripts against a local Hardhat node. A “Clean Water Initiative” scenario walks through campaign creation, donations from three donors, allocation to two purposes, disbursement to recipients, and full audit-trail queries. A second scenario demonstrates the refund mechanism for campaigns that fail to reach their funding goal. The paper discusses the trust model (“transparency, not truth”), existing blockchain approaches in the charitable sector, gas costs and Layer 2 deployment, and future directions including stablecoin support, milestone-based release, and fiat on-ramp integration.

Cross-Chain Asset Provenance Registry

Cross-Chain Asset Provenance Registry

A protocol for building provenance records as chains of cryptographically signed attestations anchored on public blockchains. Each attestation – an origin declaration, a transfer of custody, an authentication report, or a significant event – is a signed data structure whose SHA-256 hash is recorded on-chain. The key innovation is that a single asset’s provenance chain can span multiple blockchains: different parties anchor their attestations on whichever chain they prefer, and the chain is stitched together by content hashes rather than on-chain pointers.

The protocol is implemented on two architecturally different blockchains – Ethereum (Solidity) and IOTA Rebased (Move). A demonstration scenario traces a painting through five parties – artist, gallery, appraiser, collector, and restorer – with attestations alternating between the two chains. A cross-chain verification script walks the chain from the most recent attestation back to the origin, checking each link’s on-chain status across all relevant chains. A forgery detection scenario demonstrates that inserting a fake attestation with an unregistered parent hash produces a detectable break in the provenance chain. The paper discusses the protocol design, existing approaches, the EU Digital Product Passport, and future directions including JWT signing, NFT integration, and selective disclosure.

Decentralized Professional Credentials

Decentralized Professional Credentials

A protocol and working proof of concept for decentralized professional credentials. Issuers create cryptographically signed credentials following the W3C Verifiable Credentials Data Model v2.0. Credential content stays with the holder – no central database, no platform lock-in. SHA-256 hashes are anchored on-chain for tamper-proof verification and transparent revocation.

The protocol is implemented on two architecturally different blockchains – Ethereum (Solidity) and IOTA Rebased (Move) – to demonstrate genuine chain-agnosticism. The proof of concept includes a CLI, a web interface, and automated end-to-end scenarios for three credential types: employment history, professional certifications, and peer endorsements. The paper presents comparative results, developer experience findings, and discusses future extensions including selective disclosure.

AI-Verified Software Delivery Escrow

AI-Verified Software Delivery Escrow

A proof of concept for using AI agents as third-party verifiers in smart contract escrow arrangements. An AI oracle evaluates software deliverables against agreed-upon requirements — building, running, and testing them in Docker — then records the result on an Ethereum blockchain.

The smart contract uses a graduated autonomy model: high-confidence passing scores trigger automatic fund release, clear failures allow resubmission, and uncertain results are escalated to a human arbiter with a detailed verification report. The paper discusses the concept, architecture, limitations, and presents results from testing with intentionally varied deliverables.