RAGforTwins

Project Concept

We are building an AI-powered data pipeline that transforms messy, heterogeneous industrial data into clean, structured, and reliable information. Our system uses a specialized RAG engine to ingest sensor feeds, historical logs, and other raw sources, then automatically cleanse, standardize, and enrich them. The result: high-quality, actionable data that can seamlessly power next-generation industrial digital twins.

Entry

Status: Not Started

Team Roster

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Philippe Duhamel Team Lead

Founder at Zadynn

Entrepreneur | Tech & Market Discovery I work at the intersection of innovation, market discovery, product feedback and sales development. Currently focused on applying generative AI and digital twin technology to operational and industrial processes, looking for “compelling” use cases and bringing AI into the physical world. Previously developed GenAI-powered claims automation platform for insurance companies (failed). Interested in our energy tech future, aerospace, economics, the battle of Midway, and white wine.

Digital twins + AI

Martina Terskaia

Data scientist at Axens