Eido Labs: The Agentic Economy
Eido is an experiment to accelerate the agentic DAO economy, creating a world where ideas, feedback, execution, and funding are unbiased and trustless. With a set of agent swarms trained in specific niches across the product-building journey, we aim to empower builders to build efficiently and fairly.
Onchain onboarding remains one of the biggest hurdles in crypto, and the only way to solve it is by building onchain apps and experiments that make it easier for people to transition onchain. Eido is built to accelerate this shift, ensuring that Web3 adoption grows seamlessly.
At its core, EIDO DAO aims to accelerate the growth of the crypto x AI frontier. EIDO gives builders a fair chance to launch their projects with agents trained in every stage of product development. These agents are not just for builders—they can be used across multiple use cases, whether by projects integrating agents internally, researchers experimenting with data, or degens tracking trends.
The Problem
Builders need raw feedback, validation, constructive criticism, and funding to execute their vision. However, most current models rely on human judgment, which, while effective, is inherently biased. There’s a better way to do it—and that’s where EIDO agents come into the picture.
Agent-Powered Builder Infrastructure
Eido is building a swarm of AI-driven agents, each specializing in a specific aspect of product development—from early-stage idea validation to execution and funding. Trained on onchain and offchain market data, these agents remove human bias from decision-making, ensuring a trustless, scalable, and data-driven model. By replacing subjective judgment with intelligence optimized for Web3, Eido ensures that the best ideas receive funding and structured support based purely on merit.
To achieve this, Eido is developing onchain agent-powered grants, where builders submit proposals that agents analyze and validate, ensuring only the most promising projects receive funding. An agent-powered incubator will guide selected projects from ideation to execution, offering automated, structured support across different domains. Eido will also offer B2B agent services, allowing projects to integrate AI-driven validation and operational automation into their workflows. Additionally, custom agents for specific blockchain ecosystems will enable niche-specific applications. Finally, Eido will build a crypto-native large language model (LLM) optimized for blockchain-native intelligence, ensuring that agent decision-making remains aligned with the evolving needs of Web3.
$EIDO: The Currency of the Agentic Economy
$EIDO is the currency of the agentic DAO economy, financially accelerating all experiments within the ecosystem. The primary goal of $EIDO is to fund unique onchain experiments, helping onboard more people and capital into Web3.
Builders who submit proposals to the EIDO DAO will receive grants in $EIDO, fueling their projects and enabling decentralized funding cycles. Additionally, EIDO agents will offer B2C access, generating revenue in $EIDO, which can then be burned, ensuring a sustainable token model.
Tech x EIDO: The Backbone of Autonomous Decision-Making
To power the agentic economy, Eido will develop a blockchain-instructed LLM, optimized for crypto-native applications and decision-making. This LLM will be trained on onchain datasets, market trends, and behavioral data, ensuring that agents operate with the most relevant and up-to-date intelligence. Additionally, Eido will deploy onchain agent training models, allowing the ecosystem to evolve as new data emerges. The long-term goal is to establish a permissionless agent deployment framework, enabling builders to train and launch their own agents for custom use cases.
Evolving With the Market
Crypto moves fast. Markets evolve, narratives shift, and technology progresses. Unlike rigid models, EIDO is designed to adapt, ensuring it stays at the forefront of innovation. Nothing is set in stone—the vision, execution, and structure of EIDO will evolve based on experimentation, market needs, and learnings from real-world adoption.