Clarifeye offers a data layer that enhances generalist LLMs, making them reason like an organisation’s best human experts. The funding will be used to further develop Clarifeye's platform and hire top talent.

Most of a company’s core business value in complex industries such as law or regulation, life sciences, and manufacturing, relies on a few key experts. These experts carry the company’s institutional knowledge, years of contextual experience, and unique reasoning strategies. Their knowledge is scarce, difficult to develop, and impossible to scale. And because there are so few true experts in an organisation, they often become a bottleneck for critical decisions, slowing organisations down.

Today’s Generative AI systems cannot solve this. Current RAG (Retrieval-Augmented Generation) systems and LLMs excel at generalist queries, but lack traceability and repeatability, and cannot capture the nuanced decision-making patterns and knowledge of a company’s domain experts. As a result, companies are struggling to implement GenAI to replicate their expert’s work. According to a recent study by MIT, 95% of GenAI pilots at companies are failing

Proprietary business knowledge and data remains unstructured: spread across documents, databases – and in people’s minds.

Clarifeye, founded by a seasoned team of ex-Dataiku leaders and serial entrepreneurs, addresses this challenge by offering a GenAI-ready data layer that bridges raw enterprise data with human expertise. The platform enables collaborative building between developers and experts to co-create, test, and refine LLM-powered workflows that run on a company’s proprietary, validated data. Subject-matter experts can also input their reasoning strategies, connections, and decision-making patterns, transforming previously informal or experience-based knowledge into operational intelligence that AI agents can leverage consistently.

The result is expert GenAI agents that operate with a whole new level of reasoning depth, accuracy, and repeatability – even on the most complex and intricate tasks – on par with an organisation’s best human experts. When these agents are introduced gradually – use case by use case across an organisation – they lay the foundation for true collective intelligence at scale. Clarifeye empowers experts to extend the reach of their knowledge, freeing up time for deeper collaboration with colleagues and ongoing creation of net new knowledge.

Mathieu Grisolia, CEO of Clarifeye, said: “Most GenAI efforts fail because companies are forced to choose between generalist AI – which is fast but shallow – or vertical AI – which is narrow but rigid. Neither captures the true 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.”

Gustav von Sydow, Partner, EQT Ventures added: “The gap between GenAI deployment and business impact is one of the most pressing challenges today. Too many platforms harvest expertise and lock it away in proprietary systems. Clarifeye takes the opposite approach: empowering and elevating the experts who make the world go round. By turning tacit knowledge into collective intelligence, Clarifeye helps enterprises unlock not just the potential of AI, but the full potential of their people.”

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