Summary
Karim Ghoufiri
Business Developer
TECHNOLOGY
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Intelligent software module enabling users to explore, query and synthesize structured knowledge within ontologies through a natural language conversational interface
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Technology combining large language models (LLMs) with an autonomous agent capable of navigating knowledge graphs and reproducing certain aspects of expert reasoning
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Approach designed to simplify access to complex information without requiring technical expertise in knowledge base querying
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Solution aiming to reduce hallucination risks, lower energy consumption and improve answer traceability through structured and transparent knowledge exploration
MARKET
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Industrial and technology companies using structured knowledge bases and domain-specific ontologies
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Software providers specializing in artificial intelligence, knowledge management and information systems
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Research institutions and organizations handling complex datasets requiring reliable knowledge exploration and interpretation.
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Potential applications in decision support, technical information retrieval and intelligent user assistance
DEVELOPMENT STATUS
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TRL 4 – Functional software prototype developed, tested and validated in a laboratory environment
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Successful validation of the conversational agent on a small-scale ontology
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Demonstrated ability to explore structured knowledge bases and deliver information through natural language interactions
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Technology ready for industrial testing on larger ontologies to assess performance and robustness under real-world conditions
IP
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Software developed
VALORISATION STRATEGY
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Seeking industrial partners for co-development and integration into existing knowledge management solutions
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Opportunity for direct technology licensing to an industrial partner
