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Cell The Ask AI Layer For Your Product

What is Cell?

Cell introduces a conversational AI layer designed to integrate seamlessly with existing products. It empowers end-users to interact with product functionalities using natural language commands, simulating a direct conversation with the product's capabilities. This approach aims to enhance user engagement and simplify complex workflows.

The platform facilitates this interaction by connecting with a product's existing APIs, transforming API specifications into intelligent agents capable of performing tasks. Cell features smart tool recognition, allowing it to understand user intent from queries and select the appropriate function or tool within the product. It also offers features like multi-tenancy support for larger organizations, ensuring secure and context-aware interactions across different user groups.

Features

  • Conversational AI Layer: Adds a language-first interface directly onto a product's UI.
  • API Connectivity: Option to connect your product's APIs, turning specifications into functional agents.
  • Smart Tool Recognition: Intelligently understands user queries to select and activate the correct tool or feature.
  • Full Screen Mode: Provides an expanded interface view, suitable for internal team usage.
  • Multi-tenancy Support: Offers secure, isolated environments with shared context for larger customers.
  • Human In The Loop: Incorporates mechanisms for human oversight or intervention (details not specified).
  • Product Analytics: Provides insights into how users interact with the product via the AI layer (details not specified).

Use Cases

  • Enhancing product usability with a natural language interface.
  • Allowing users to perform actions within an application via chat commands.
  • Reducing user friction by simplifying complex workflows.
  • Integrating disparate tools and functions through a unified conversational agent.
  • Providing internal teams with a conversational way to interact with company tools and data.
  • Understanding customer needs and product usage patterns through conversational interactions.

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