illumex
- 28/06/2024
- Unknown
- $13,000,000
illumex empowers organizations to unlock the full value of their enterprise data through its Generative Semantic Fabric. It automates the complex process of mapping data semantics and resolving inconsistencies across business silos, making data GenAI-ready and enabling transformative enterprise use cases for generative AI.
Never touching or moving your data, illumex looks at metadata to create a unified knowledge graph that acts as a single source of truth and serves as a translator for business user input. It understands “business” natural language, which may not necessarily match the database semantics, and aligns it with existing business logic and terminology to provide deterministic and governed answers. Likewise, it establishes an automated orchestration framework for any data or LLM runtime. The platform serves as a seamless, automated substitute for the labor-intensive RAG/GarphRAG process, allowing for GenAI prompt explainability, GenAI governance (including verifiable and well-explained GenAI responses), and preventing specific lock-in of LLM.
- Industry Software Development
- Website https://illumex.ai/
- LinkedIn https://www.linkedin.com/company/illumexai/
Related People
Inna Tokarev SelaFounder
Inna is the founder and CEO of illumex, the pioneer of Generative Semantic Fabric that empowers organizations with AI-readiness. Throughout her career leading Data Products monetization and as a data stakeholder, Inna recognized the oxymoron of our domain: despite huge investments in data and analytics, most business decisions are still not based on data or insights. Therefore, she brings her vast industry and academic experience to solve this conundrum and help data and business teams scale trust-based decision-making.
Before embarking on her entrepreneurial journey with illumex, Inna was VP of AI at Sisense and Senior Director of Machine Learning at SAP. She led the product and GTM for cloud and machine learning, built AI-driven platforms within the organizations, and established data science departments.
She authored several patents on knowledge graphs, natural language and deep learning, and she is a frequent speaker at leading D&A and AI conferences. Inna is a graduate of the Stanford MBA executive program, and holds an MSc in information systems with neural nets, and a BSc in physics and computer science from Tel Aviv University. She has 20 years of experience with data, analytics and graphs. Inna leads the Israeli chapter of Women in Data.