Rivet AI

Rivet AI

Rivet AI is an AI assistant that helps teams work smarter and faster. It provides capabilities like meeting summarization, document summarization, search, and analytics.
Rivet AI image
ai assistant meeting-summarization document-summarization search analytics

Rivet AI: Intelligent Assistant for Smarter Teamwork

Discover Rivet AI, an AI-powered assistant that enhances team collaboration and productivity with features like meeting summarization, document summarization, search, and analytics.

What is Rivet AI?

Rivet AI is an artificial intelligence platform designed to help teams work more efficiently. It provides a variety of AI capabilities including:

  • Meeting Summarization - Rivet can join meetings, record the audio, take notes, and provide summaries highlighting key decisions and action items.
  • Document Summarization - Upload documents like research reports, product requirements, etc. and Rivet will summarize the key information.
  • Search - Find the information you need across your company's data by asking questions in natural language.
  • Analytics - Gain insights into areas like team productivity, work patterns, and content usage.

By automating administrative tasks and providing quick access to information, Rivet AI aims to save teams time and help them focus on more strategic work. The platform uses state-of-the-art natural language processing and machine learning developed by AI experts at Rivet Labs.

Rivet AI integrates with popular tools like Slack, Google Workspace, Office 365, and more. It's designed to be quick and easy for any team to get started using AI to work smarter.

Rivet AI Features

Features

  1. Meeting summarization
  2. Document summarization
  3. Search
  4. Analytics

Pricing

  • Subscription-Based

Pros

Saves time by providing summaries instead of reviewing full recordings/documents

Helps discover insights from meetings and documents

Powerful search makes it easy to find key information

Cons

May miss some nuances compared to full review

Requires integration with existing tools

AI model quality depends on training data


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