DeepIP, an AI platform dedicated to patents, announced on March 3 that it has secured $25 million in a Series B funding round, bringing its total financing to $40 million.
The round is co-led by Korelya Capital, a fund founded by Fleur Pellerin, the former French minister of the Economy and Digital Affairs, and Serena, a fund known for backing Dataiku. Existing backers Balderton (Revolut) and Headline (Mistral AI) also participated in the deal.
Founded in 2024 by François-Xavier Leduc and Edouard d’Archimbaud, the two co-founders of Kili Technology, a growth-stage company specializing in enterprise AI for Fortune 500 clients, DeepIP operates out of New York and Paris.
The problem DeepIP is aiming to solve
While AI has begun to make inroads into patent practice, most tools remain siloed: each solution tackles a single task, forcing professionals to hop between disconnected systems and manually carry context from one step to the next. In a field where precision and traceability are critical, this fragmentation creates friction.
“The first wave of AI applied to patents has largely focused on speeding up individual tasks,” explains François-Xavier Leduc, CEO of DeepIP. “Yet patent practice is built on cumulative work over time, involves multiple teams, and requires numerous decisions.”
An integration into existing tools
DeepIP’s approach is to embed AI directly into the environments where patent work is already performed—starting with Microsoft Word and extending to IP asset management platforms. The aim is not to force teams to change their tools or processes. The company notes that this approach drives up to 20% higher adoption and 40% more usage compared to standalone AI tools.
The platform currently counts more than 400 IP firms and internal IP teams as clients across 25 jurisdictions on five continents, including Greenberg Traurig, Philips, Dexcom, and Mewburn Ellis. In total, more than 40,000 dossiers are said to have been processed via the platform.
This funding is expected to accelerate the development of agentic AI capabilities to help teams cope with growing volumes without increasing their operational burden.
For Olivier Martret, Partner at Serena, the challenge is also structural: “The global market for AI applied to patents remains highly fragmented. A platform-centric positioning is essential to establish a new standard.”
