YeagerAI develops GenLayer, an AI-powered blockchain that executes smart contracts capable of understanding both code and natural language, enabling developers to create decentralized applications that automate complex processes. Additionally, their GenWorlds framework allows for the creation of customizable multi-agent systems, facilitating coordination among autonomous agents to achieve specific objectives without predefined limits.
Funding
$7.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Developing decentralized applications (dApps) that automate complex processes requires smart contracts capable of understanding both code and natural language. Existing frameworks lack the flexibility to create customizable multi-agent systems, hindering coordination among autonomous agents to achieve specific objectives.
Solution
YeagerAI offers GenLayer, an AI-powered blockchain designed to execute smart contracts that can interpret code and natural language, enabling the creation of advanced dApps. The GenWorlds framework facilitates the development of customizable multi-agent systems, allowing autonomous agents to coordinate and achieve specific goals without predefined limitations. By aggregating intelligence from multiple validators connected to different Large Language Models (LLMs), GenLayer ensures that subjective tasks, such as text prompts or accessing the internet, are executed with a high degree of accuracy through a novel consensus algorithm. This approach enables developers to build sophisticated, decentralized applications that leverage the power of AI for enhanced automation and decision-making.
Target Audience
The primary audience includes blockchain developers and enterprises seeking to build sophisticated, AI-driven decentralized applications with enhanced automation and decision-making capabilities.
Features
- AI-powered blockchain capable of executing smart contracts that understand both code and natural language
- GenWorlds framework for building customizable multi-agent systems with no predefined limits
- Aggregation of intelligence from multiple validators connected to different LLMs
- Novel consensus algorithm for ensuring accuracy in subjective tasks like text prompts and internet access
- yAgents: AI agent built on GPT-3, designed to autonomously build, code, test, debug, and deploy its own tools
- Interactive sandbox environment for developers to explore and build intelligent contracts