Federated search lets users search multiple data sources at once through a single interface, instantly combining results from each system- without having to move or copy the data anywhere else.

• Real-Time, Relevant Results: AI-enhanced federated search retrieves the most current and relevant information by querying live sources, ensuring rapid and accurate answers to complex queries across multiple systems without delays from outdated indexes.
• Advanced Security & Compliance: Federated search powered by AI respects source-level access controls, ensuring sensitive data remains protected while allowing only authorized individuals to discover and access needed information, promoting regulatory compliance.
• Insightful Decision Making: Natural language processing (NLP) and semantic search extract deep insights from both structured and unstructured text, helping teams find connections and surface actionable knowledge for data-driven decision making.
• Automated Data Consolidation & Enrichment: Machine learning automatically normalizes, enriches, and ranks results from disparate formats and data structures, improving the discoverability and usefulness of content from internal and external sources.
• Scalability & Adaptability: AI-driven federated search systems can flexibly integrate new data sources and accommodate massive, rapidly changing data volumes, future-proofing the search experience as organizational needs evolve.

Medullar uses AI-powered federated search to instantly query multiple data sources from a single search bar, offering a unified view of relevant results without duplicating data. With natural language processing, smart ranking, and semantic search, Medullar finds and prioritizes information based on user intent- across email, files, cloud apps, and more. The platform also secures privacy with end-to-end encryption and never stores user data, while its automatic tagging and collaborative Spaces features help teams organize and share findings easily.

• Real-Time Cross-Platform Searching:
  • Medullar’s federated search technology distributes each user’s query simultaneously across all connected sources (emails, files, chats, cloud apps, etc.) without duplicating or moving the data.
  • Search results are instantly aggregated and displayed in one unified interface, allowing users to find information across organizational silos without switching platforms.
• AI-Powered Search Intelligence:
  • Medullar uses Natural Language Processing (NLP) and the latest large language models to interpret conversational queries, so users can enter requests in everyday language—no complex syntax required.
  • Intelligent ranking algorithms assess intent, context, and past behavior to deliver relevant and personalized results. Features like synonym detection and context awareness further refine search effectiveness.
• Enhanced Privacy & Security:
  • No data movement- information remains in its original repository; Medullar only fetches and presents what's needed for your query.
  • All data interactions are encrypted (AES-256), and platform-level granular access controls ensure users and AI agents can only access data they're authorized to see.
  • Medullar is designed to comply with enterprise security requirements, ensuring both privacy and regulatory compliance.
• Collaboration & Productivity:
  • Medullar introduces features like Spaces—secure collaborative environments where teams can organize, summarize, and share findings from federated searches.
  • Integration with various apps and platforms means users can quickly surface documents, emails, or knowledge from anywhere their organization’s information is stored, driving productivity and informed decision-making.

Medullar’s federated search leverages AI to understand natural language, intelligently rank results, and instantly aggregate information from over 60 platforms. AI enables the system to process queries as conversations, surface the most relevant answers, and learn from user interactions to improve search accuracy over time. In collaborative Spaces, Medullar integrates AI-driven tools—like automatic summarization, tagging, and retrieval-augmented generation—so teams can not only find but also organize, summarize, and act on collected knowledge together. The combination of federated search and AI transforms raw data into actionable insight, making Medullar much more than just a search tool—it’s an engine for smarter decisions and efficient teamwork.