Today’s OpenGov processes remain only partially visible and accessible to governance users and are often time-consuming and largely manual. For example, extracting actionable insights requires stakeholders to manually compile and interpret data from multiple sources before making governance decisions or initiating transactions.
Clarys.AI addresses these challenges by streamlining these fragmented and labor-intensive tasks. It automates data gathering and analysis from both on-chain and off-chain sources, allowing users to focus on strategic decision-making rather than administrative work.
Ultimately, Clarys.AI aims to become a trusted source of truth for governance data by providing OpenGov contributors with faster, automated access to the critical information they need. It is built to revolutionize governance by significantly reducing the time and complexity involved in sourcing, structuring, and analyzing data. Empowering stakeholders to make informed, high-impact decisions with unprecedented efficiency.
https://clarys.ai/ is an AI assistant that supports governance stakeholders by enhancing decentralized decision-making within OpenGov, Polkadot’s pioneering decentralized governance platform.
In summary, Clarys.AI:
Clarys.AI is built to revolutionize the governance decision-making process by significantly reducing the time and complexity involved in sourcing, structuring and analyzing critical data, enabling stakeholders to make informed, strategic and high-impact voting decisions with unprecedented efficiency.
The first and current version of Clarys.AI was developed as an MVP and its development was funded by Web3 Foundations Decentralized Future grant, you can read the intro article here.
After the MVP concept has demonstrated clear potential to transform governance participation within the Polkadot OpenGov ecosystem our team shows the highest motivation to deliver a fully accessible and user friendly beta product version. You can read the full proposal draft here:
https://drive.google.com/file/d/1NYW-RcNpUfK-gN9qOHBHx4NGj69_eKK4/view?usp=sharing
We look forward to constructive feedback and engaging discussions before submitting the proposal on-chain.