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Medullar

3.1
💬83
💲Paid

Medullar is an AI-powered platform that helps users discover, organize, and amplify knowledge across multiple sources. It uses natural language processing and universal search to connect with over 60 applications, enabling users to find and collaborate on information efficiently.

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Platform
web
AI SpacesAI-powered searchCollaborationData discoveryFederated searchInsight platformKnowledge management

What is Medullar?

Medullar is an AI-powered platform for data discovery, insight, and knowledge amplification across multiple sources. It acts as an extended digital mind that connects to over 60 applications, allowing users to perform federated searches using natural language. Medullar combines knowledge, documents, and precise web data to amplify insights and improve data creation. It unifies scattered information from computers, emails, calendars, apps, and the web into one powerful hub, acting as a digital assistant that discovers, organizes, and amplifies knowledge.

Core Technologies

  • AI-powered search
  • Natural Language Processing
  • Retrieval Augmented Generation
  • Universal Search

Key Capabilities

  • Data discovery
  • Knowledge amplification
  • Federated search
  • Collaboration
  • Content creation

Use Cases

  • Streamline data extraction and enhance team collaboration for improved sales performance
  • Discover and collect curated data from multiple sources
  • Create smarter decisions and strategies using AI-powered insights
  • Collaborate in AI-powered Spaces for research and content sharing

Core Benefits

  • Cost savings by reducing time spent searching through multiple sources
  • Improved decision-making with accurate and real-time information
  • Enhanced team collaboration through shared AI-powered spaces
  • Privacy-first security with encryption and access controls

Key Features

  • Universal Search across 60+ apps
  • AI-powered Spaces for collaboration and content creation
  • Natural Language Processing (NLP) for complex queries
  • Retrieval Augmented Generation (RAG) solution

How to Use

  1. 1
    Connect Medullar to your apps
  2. 2
    Search using natural language
  3. 3
    Discover relevant information from search results
  4. 4
    Collect curated data
  5. 5
    Collaborate in AI-powered Spaces

Pricing Plans

My Medullar

$20 /mo per user
Limited Time Offer. Includes Universal Search, AI-Powered Medullar Spaces, 60+ App Connectors & Updates. Save 18% More with Annual Subscription.

Enterprise

Contact us
Contact us for more info on Enterprise pricing

Frequently Asked Questions

Q.What is Medullar?

A.Medullar is an AI-powered platform that acts as your extended digital mind, combining your knowledge, documents, and precise web data to amplify insights and improve data creation.

Q.How does Medullar work?

A.Medullar connects to 60+ apps, allowing you to search across multiple data sources using AI and NLP. It helps you discover, collect, collaborate, and create with AI-powered Spaces.

Q.What are the benefits of using Medullar?

A.Medullar offers cost savings, improved decision-making, enhanced team collaboration, and privacy-first security.

Q.What is Universal Search in Medullar?

A.Universal Search allows you to perform real-time queries across multiple siloed data sources from a single search bar with 60+ app connectors.

Q.What are Spaces in Medullar?

A.Spaces is a Retrieval Augmented Generated (RAG) solution transforming research, collaboration, and content sharing in team environments.

Pros & Cons (Reserved)

✓ Pros

  • Cost Savings & Efficiency: Spend less time searching through multiple sources.
  • Improved Decision Making: Make faster, higher-quality decisions with easy access to accurate information.
  • Enhanced Team Collaboration: Streamline data extraction and enhance team collaboration.
  • Privacy First: Secure data with encryption and access controls.

✗ Cons

  • Pricing information requires contacting the company for Enterprise plans.
  • Limited information on the specific AI models used.

Alternatives

No alternatives found.