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ChainML
Shaping a Better Future Powered by AI Agents

What is ChainML?

ChainML is an AI research and development company focused on creating a better future powered by AI agents. The company's core offerings include Council Analytics and the open-source Council framework.

Council Analytics is a generative AI-powered platform that facilitates conversational analytics. It enables secure integration of talk-to-data capabilities into software products through an API. The open-source Council framework allows developers to build and deploy production-grade AI agents with advanced control and scalability, leveraging LLMs like GPT-4, Llama 2, and Claude 2.

Features

  • Council Analytics: Generative AI-powered platform for conversational analytics.
  • Talk-to-data API: Enables effortless and secure integration of talk-to-data capabilities into software products.
  • Council Open-Source: Framework for building and deploying production-grade AI agents.
  • AI Agent Protocol: Web3-enabled execution and utilization layer for AI Agents.

Use Cases

  • Integrating talk-to-data capabilities into software applications.
  • Performing advanced data analytics via natural language.
  • Building and deploying custom AI agents for various business needs.
  • Developing decentralized AI agent applications.

Related Tools:

Blogs:

  • Best AI tools for Lawyers

    Best AI tools for Lawyers

    streamline legal processes, enhance research capabilities, and improve overall efficiency in the legal profession.

  • Top 6 AI note-taking tools for 2026: in-person, online, and hybrid use cases

    Top 6 AI note-taking tools for 2026: in-person, online, and hybrid use cases

    Most AI note-taking lists are really lists of meeting bots, which join your video call and transcribe it. That's useful, but it's half the picture. Decisions happen in hallway conversations, client dinners, on-site visits, and hybrid rooms where nobody is on a video link. This guide covers different parts of the note-taking workflow: hardware capture for in-person settings, platform-native tools for online calls, and AI layers for organizing and synthesizing what you've captured. It compares six tools by capture context, workflow fit, pricing, and limitations.

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