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Artificial intelligence

Generative Artificial Intelligence Enterprise Search Patent Application Revealed

Strategic Insights

— 1 min read

Advancements in artificial intelligence and machine learning are rapidly transforming the way we interact with information systems. A recent patent application, filed by Michael Haines, Romain Juban, Nikhil Krishnan, Louis Poirier, and Thomas M. Siebel, showcases an innovative approach to enterprise search, leveraging generative artificial intelligence to revolutionize human-computer interaction.

Key Takeaways:

  • The patent application describes a system that combines user search with natural language processing, generative AI, and predictive analysis to enable enterprise users to ask open-ended, multi-level, context-specific questions.
  • The system can receive natural language input, process it using machine learning, and retrieve relevant information from various data domains, including disparate data sources, categorized data, and industry-specific data.
  • The innovation enables dramatically increased access to information, analyses, and predictive analytics associated with and derived from a combination of enterprise and external information systems.
  • The system supports granular enterprise access controls, privacy, and security requirements, providing traceable references and links to source information underlying the generative AI insights.
  • The claimed solution overcomes problems specifically arising in the realm of computer technology, particularly in conventional approaches that require users to have technical expertise and are limited to simple query-based interfaces.

Statistics:

  • The patent application has not been assigned to a company or institution.
  • The system can operate in both connected and non-connected computing environments.
  • Enterprises running sensitive workloads in cloud-native, on-premise, or air-gapped environments can implement the system.
  • The system can support various deployment factors and data domains.
  • The claimed solution has 21 distinct claims, addressing various aspects of the generative AI enterprise search system.

Sources:

  • Haines, Michael; Juban, Romain; Krishnan, Nikhil; Poirier, Louis; Siebel, Thomas M. Generative Artificial Intelligence Enterprise Search. U.S. Patent Application Number 20250190475, filed February 21, 2025 and posted June 12, 2025.
  • Patent URL (for desktop use only): https://ppubs.uspto.gov/pubwebapp/external.html?q=(20250190475)&db=US-PGPUB&type=ids

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