Enterprise AI Search Sinequa

basic information

High-precision search for highly specialized documents By combining multiple search methods such as semantic search (vector search), keyword search, statistical techniques, and natural language processing, we can accurately identify highly relevant sections within documents, targeting everything from unstructured data like Word and PDF files to structured databases. We effectively capture information that includes company-specific terminology and variations in notation, achieving excellent search accuracy even for specialized documents. Rapid and secure data integration Equipped with connectors that support over 200 enterprise applications, including SharePoint, Slack, Windchill, and Teamcenter, we can quickly make data distributed both internally and externally searchable. Access rights from the source are inherited, and search results and AI responses are reflected according to user-specific permissions, allowing for use while maintaining internal information management rules. Advanced RAG supporting evidence-based AI responses By combining your specified generative AI, we enable everything from summarization and response generation across multiple documents to advanced analysis. Since you can instantly verify the materials and relevant sections that form the basis of the responses, the risk of hallucination is reduced, leading to more reliable decision-making.

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Applications/Examples of results

- Implementation results: We have a track record of adoption by global companies and government agencies such as NASA, Airbus, Pfizer, ExxonMobil, and Siemens. - We have also been recognized as a leader in the Gartner Magic Quadrant for Insight Engines for six consecutive years.