Use Cases
The Rankify protocol enables a wide range of applications, from powering the next generation of AI to creating sustainable markets for knowledge work.
Powering the Next Generation of AI
Rankify provides a decentralized marketplace for sourcing bespoke, high-quality datasets with unprecedented guarantees. AI development companies can use the RFD process to commission training data that is cryptographically verified to meet specific criteria:
Bias Mitigation
Use a ZKML model to prove that a dataset has a balanced demographic distribution, helping to create fairer and more equitable AI systems.
Content Filtering
Ensure a dataset is free of harmful, toxic, or copyrighted content by requiring it to pass a ZKML classifier model.
Sustainable Markets for Knowledge Work
The protocol extends beyond datasets to any form of digital knowledge work where quality can be assessed. Potential applications include:
Decentralized Security Audits
A DAO could issue an RFD for a security audit of its smart contracts, with payment escrowed and released upon successful verification.
Verifiable Academic Research
A research foundation could fund studies by requiring researchers to submit their results along with ZK proofs demonstrating their statistical analysis was performed correctly.
Enhancing DAO Governance
The core primitives of the Rankify protocol are powerful governance tools that can be adopted by other DAOs to address common challenges like plutocracy and low participation.
Merit-Based Governance
Identify and empower members with demonstrated expertise, moving beyond simple token-based voting towards a more meritocratic governance system.
Expert Guilds
Create specialized guilds where only members who have achieved a certain competence rank can vote on technical or domain-specific proposals.