CogniDAO

CogniDAO

Decentralized AI-driven governance assistant for unbiased and transparent DAO decision-making.

Created on 15th February 2025

CogniDAO

CogniDAO

Decentralized AI-driven governance assistant for unbiased and transparent DAO decision-making.

The problem CogniDAO solves

Decentralized Autonomous Organizations (DAOs) often struggle with:

  • Scalability & Bias: Current voting systems lack automated reasoning and intelligent insights, making decision-making slow and prone to manipulation.
  • Proposal Evaluation: Members rely on subjective opinions rather than data-driven assessments, leading to poor governance decisions.
    -Transparency Issues: Centralized analytics platforms introduce trust concerns in the DAO ecosystem.

🚀 Solution:
Our Cartesi Coprocessor-powered AI assistant analyzes DAO proposals, evaluates feasibility based on past governance data, and generates trustless, AI-driven reports stored on-chain for transparency and auditability.

🔹 Key Benefits:
✔️ Data-driven decision-making: AI-generated reports ensure fair evaluations.
✔️ Trustless insights: AI operates in a decentralized, transparent manner.
✔️ DAO scalability: Automates governance and reduces inefficiencies.

Challenges we ran into

1️⃣ Off-chain AI Computation in a Decentralized Manner:

Running AI models directly on-chain is computationally expensive.
Solution: Integrated Cartesi Coprocessor to perform AI reasoning off-chain while ensuring trustless execution.
2️⃣ Ensuring Transparent Proposal Evaluations:

AI-generated reports must be immutable and publicly accessible.
Solution: Stored AI reports on-chain in smart contracts to guarantee auditability.
3️⃣ Integrating AI Risk Assessment with DAO Voting:

Needed seamless integration between AI insights and governance proposals.
Solution: Developed a backend middleware to fetch AI-generated risk reports before executing DAO votes.

Discussion

Builders also viewed

See more projects on Devfolio