Clarifeye raises €4M to transform expert knowledge into scalable AI agents

The platform turns expert know-how into GenAI systems, unlocking value in industries reliant on scarce specialists.
Clarifeye raises €4M to transform expert knowledge into scalable AI agents

Paris-based Clarifeye, the platform enabling organisations to build expert AI agents at scale, has raised a €4 million pre-seed round led by EQT Ventures. The round also includes participation from Drysdale Ventures, Olivier Pomel (CEO and founder of Datadog), Jean-Luc Robert (ex-CEO of Kyriba), Alexandre Berriche (Fleet) and other prominent angel investors.

Clarifeye provides a GenAI-ready data layer that connects raw data, human expertise, and LLMs, enhancing generalist models to reason like an organisation’s best experts and enabling teams of any size to build expert-level AI agents quickly.

In complex sectors such as law and regulation, life sciences, and manufacturing, core value often rests with a small group of specialists who hold institutional knowledge, contextual experience, and distinctive reasoning methods. This expertise is scarce, slow to develop, hard to scale, and can create decision bottlenecks.

Current generative AI cannot fully address this. RAG and LLMs handle general queries but lack traceability, repeatability, and the ability to capture nuanced expert judgment. As a result, many companies struggle to replicate expert work with GenAI, while proprietary knowledge remains fragmented across documents, databases, and people.

Clarifeye addresses this gap with a data layer that links enterprise data to human expertise. The platform enables developers and domain experts to co-design, test, and refine LLM-powered workflows on proprietary, validated data. Experts can encode their reasoning, relationships, and decision patterns, turning informal know-how into operational intelligence that AI agents can use consistently.

The result is domain-specific agents with greater reasoning depth, accuracy, and consistency, even on complex tasks, approaching the performance of top experts. Rolled out use case by use case, these agents help establish collective intelligence at scale, freeing experts to focus on collaboration and creating new knowledge.

According to CEO Mathieu Grisolia, many GenAI initiatives fail because organisations are pushed to choose between fast but shallow generalist AI and specialised but rigid vertical AI, neither captures the full depth of expertise.

Clarifeye takes a different path: we capture what is in your experts’ minds, turning it into an always-on AI that thinks like them, delivering ultra-specialised AI out of the box. This funding enables us to grow our team and accelerate that vision.

Clarifeye will use the new funding to support ongoing platform development and the recruitment of top talent.

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