TomNext, a London-based company focused on building an intelligence and infrastructure layer for private-market investors, has raised new funding led by Panghea Capital Partners, with participation from Consello, Blizzard the Avalanche Fund, Altea Partners, and a group of strategic backers and angel investors spanning wealth management, fintech, and digital assets.
The funding coincides with TomNext emerging from stealth mode and launching a closed beta for a select group of family offices, wealth advisors, and private-market investors. The company is positioning its platform to address longstanding inefficiencies faced by limited partners as deal flow across private markets continues to increase.
Private-market investors, commonly referred to as LPs, are managing growing volumes of opportunities across private equity, private credit, venture capital, and real assets, yet many still rely on fragmented diligence processes and largely manual workflows. TomNext aims to replace these legacy approaches with a unified, secure, AI-powered workflow layer designed specifically for LP use cases.
TomNext’s platform leverages institutional-grade artificial intelligence to structure deal collateral, streamline diligence processes, and provide improved visibility across portfolios and investment strategies. By transforming unstructured data into structured, decision-ready intelligence, the company seeks to help investors operate with greater speed, clarity, and confidence while reducing operational bottlenecks and reliance on human-intensive processes.
The company also plans to expand its platform capabilities in early 2026 by introducing digital execution and orchestration features supported by tokenization. This additional layer is intended to further modernize how LPs execute and manage private-market investments, moving beyond analytics into transaction-level infrastructure.
With private markets now representing an estimated $22 trillion ecosystem, TomNext is targeting what it sees as structural inefficiencies that slow capital deployment and limit scalability. The company’s leadership believes that institutional-grade intelligence should be accessible not only to large investment teams, but also to family offices and wealth managers with smaller operational footprints.
KEY QUOTES:
“Private market investing has scaled massively, but the workflows most LPs rely on have not. They’re manual, fragmented and opaque and they slow down decision-making at the exact moment investors need clarity and speed. TomNext is built to change that. This funding allows us to bring institutional-grade intelligence to every LP, not just those with large teams, and our beta is the first step in proving how we can help bring emerging technology to speed up and improve the quality of decision making.”
Itay Tuchman, CEO & Co-Founder, TomNext
“We backed TomNext because the industry is long overdue for an LP-first platform. Wealth managers and family offices are drowning in documents, data gaps and operational risk. TomNext’s vision in both its AI approach and its tokenized transaction-layer vision has the potential to become critical infrastructure for alternative-asset allocators globally.”
Fernando Lopez Munoz, CEO, Panghea Capital Partners
