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Metorial Build AI agents with drag and drop.

What is Metorial?

Metorial provides a no-code platform designed to simplify the creation and integration of custom AI agents into applications, particularly for SaaS companies. It addresses the complexities associated with AI implementation, such as managing data pipelines, building infrastructure, and monitoring performance, by offering a visual, drag-and-drop interface called Metorial Flows. This allows users to construct AI workflows without requiring specialized coding skills, significantly reducing development time from months to days.

The platform incorporates several key components to enhance functionality and user experience. Metorial Actions enable agents to connect seamlessly with various tools, databases, APIs, and real-time web data, grounding responses in accurate information. Metorial Trace offers detailed monitoring and logging capabilities for observing agent performance, debugging issues, and optimizing interactions. Additionally, Metorial Portals allow users to build customizable ChatGPT-like interfaces that can be embedded into existing websites or deployed as standalone portals, complete with user management and branding options.

Features

  • Visual Agent Builder: Create AI agents using a drag-and-drop interface (Metorial Flows).
  • Tool & Data Integration (Actions): Connect agents to documents, databases, APIs, and the web for real-time data and task completion.
  • Performance Monitoring (Trace): Monitor, analyze, log, and debug agent performance in detail.
  • Customizable Interfaces (Portals): Build embeddable or standalone ChatGPT-like interfaces for agents.
  • Multiple Model Provider Support: Utilize various AI models (e.g., OpenAI, Gemini).
  • Built-in Rate Limiting: Manage agent usage effectively.
  • Integrated Billing Support: Facilitates billing for AI-powered features.
  • Detailed Logging: Store and replay agent runs for auditing and improvement.
  • User Management & Authentication: Included with standalone portals.

Use Cases

  • Integrating custom AI features into SaaS applications.
  • Building AI agents without extensive coding knowledge.
  • Automating workflows using AI.
  • Creating personalized user experiences with AI.
  • Developing custom ChatGPT-like interfaces for specific tasks.
  • Monitoring and optimizing AI agent performance.
  • Connecting AI agents to external tools and data sources.

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