Milan, July 13th 2026
Private markets professionals can now register to access the beta before the platform’s full European rollout.
DeepTree, the AI-Fintech startup that has recently closed a €2 million funding round, is opening registrations for its European Early Access program, marking the first step in the company’s European expansion and the beginning of the rollout of its AI platform for private markets.
“Shortly after closing our €2 million funding round, we are moving into the next phase of DeepTree’s growth. The European Early Access program is not just a product milestone: it is the first step in bringing our platform to private markets professionals and preparing for a broader European rollout,” said Lorenzo Ferretti, CEO of DeepTree.
The program is designed for private markets professionals working across private equity, M&A advisory, search funds, consulting, banking and business development, offering early access to a platform built to support company discovery, target screening, market analysis, deal intelligence, pipeline management and portfolio monitoring.
DeepTree’s European Early Access program is now open for registration.
Private markets professionals can sign up over the next five days to access the beta ahead of the full European platform launch on 14 September 2026. Early-access clients will be able to use the platform for free until 16 November 2026, when the initial free access period will end.
DeepTree combines verified company data with AI-native search and analysis tools, helping dealmaking teams move faster from fragmented research to structured insight and decision-making.
Early Access registrations are available at this link till July 17th.
About DeepTree
DeepTree is an AI-Fintech startup developing a private markets intelligence platform for M&A and private equity professionals. The platform supports company discovery, target screening, deal flow management, benchmarking and portfolio monitoring, enabling investment teams to streamline research, strengthen analysis and manage deal-related activities more efficiently.
