Agentic AI: From Assistants to Autonomous Teams

TLDR

• EQT Ventures led the seed round for Clarifeye, a Paris-based startup turning domain expert knowledge into autonomous AI agents.

Key Takeaways

• Clarifeye was founded in 2025 by Mathieu Grisolia, Louis-Philippe Kronek, and Maxime Mouchet, all former Dataiku employees.
• The platform lets subject-matter experts encode their reasoning into AI agents that can handle complex, high-stakes tasks with traceability at scale.
• Target industries include law, life sciences, and manufacturing, where value concentrates in a small number of specialists who become internal bottlenecks.
• The core problem: experts forced to answer recurring internal questions lose time they would otherwise spend building new knowledge or products.
• EQT’s investment thesis cites prior work on knowledge graphs and LLM-based ontologies as validation for Clarifeye’s technical approach.

Why It Matters

• Enterprise AI adoption is bottlenecked not by models but by access to expert reasoning; Clarifeye directly targets that constraint.
• The “digital twin” framing, cloning an expert’s judgment rather than just their documents, is a concrete architectural bet distinguishing Clarifeye from generic RAG approaches.
• If expert agents can interoperate at scale, the founders and investor are explicitly asking whether that crosses into AGI-adjacent territory.

· 2026-04-28 · Read the original