Clarifeye is a new Paris-based company on a mission to transform how organizations scale their most valuable resource: expert knowledge. Founded in 2025 by Mathieu Grisolia, Louis-Philippe Kronek, and Maxime Mouchet, the team combines deep technical expertise with years of experience at Dataiku, where they saw firsthand how difficult it is for companies to capture and scale the reasoning of their best experts. Their platform turns tacit, experience-based knowledge into operational intelligence, enabling enterprises to build AI agents that think and act like their top specialists.

The Genesis

I’ve known Mathieu for 10 years, and Louis-Philippe was actually my boss back at Dataiku. When Louis-Philippe left, he wanted to explore starting a company. At the same time, Mathieu was also thinking of starting a new company, so I introduced them. They spent months exploring ideas together, united by a shared ambition to democratize hidden knowledge with AI. I followed their journey closely, catching up, debating ideas, watching them sharpen their thinking, until they finally converged on Clarifeye, which sounded very much like our thesis on the space: https://stories.eqtventures.com/articles/knowledge-graphs-and-llm-based-ontologies-have-a-very-good-shot-at-unlocking-genai-in-production. It’s also about when Maxime, another former colleague at Dataiku, joined as co-founder and CTO.With this idea, and this cracked team, it was clear we would want to lead their fundraise. 

The Bottleneck Problem

What struck me about Clarifeye from the start was the scale of the problem they’re solving. In industries like law, life sciences, and manufacturing, so much of a company’s value depends on a handful of experts. These specialists become the go-to people for everyone in the organization, whether it’s answering recurring questions, validating decisions, or troubleshooting complex problems. Multiply that by thousands of employees, and those experts risk becoming little more than a glorified human FAQ system.

This creates a real bottleneck. Experts face a stark choice: spend their time on “support” (keep answering to other people's questions), or focus on “building” new knowledge, products, and processes that drive growth. Every hour lost to repetitive tasks is an hour not spent on innovation.

Unlocking Expert Time

Clarifeye changes this dynamic. Their platform provides a GenAI-ready data layer that lets subject-matter experts clone their expertise into AI agents with expert-level reasoning. Like a digital twin so to speak. Instead of always being the go-to for recurring questions, or having an LLM give generic, not accurate answers, experts can “delegate” that knowledge to a true expert level AI system that can handle complex, high-stakes tasks with accuracy, traceability, and repeatability at scale.

For me, this investment is both personal and professional. I’ve trusted Mathieu, Louis-Philippe and Maxime for years, and I’ve seen their dedication to solving this problem in a way that really matters. Clarifeye bridges the gap between AI hype and business impact, and we’re proud to back them as they build a company that could change how enterprises leverage their experts and expertise to really unlock value. 

It’s a relentless, hardworking team with a unique insight and a vision that has endless ramifications. If all Clarifeye’s expert agents were to work together at scale, wouldn’t that be AGI? 😉