TomNext has emerged from stealth with fresh funding to develop an AI-powered platform aimed at reducing operational frictions in the $22 trillion private assets sector, with a closed beta now underway among select institutional investors.
TomNext has emerged from stealth with new funding and a closed beta of its platform aimed at institutional investors in private markets, the firm said in a statement.
The company claims the round was led by an investment vehicle called Panghea Capital Partners, with participation from a mix of strategic backers and angel investors from wealth management, fintech and digital-assets sectors. According to the announcement, the financing will support development of an AI-powered “intelligence layer” that, the firm says, transforms fragmented diligence documents and unstructured data into a unified workflow for limited partners (LPs).
TomNext described itself as addressing long‑standing operational frictions across what it called the $22 trillion alternative‑assets ecosystem. The platform, the firm said, uses “institutional‑grade AI” to structure deal collateral, streamline diligence and improve visibility across private equity, private credit, venture and real‑assets allocations. It also plans to add digital execution and orchestration features underpinned by tokenisation early next year.
“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,” said Itay Tuchman, chief executive and co‑founder, in the company statement. A lead investor’s chief executive added that an “LP‑first” platform is needed to tackle document overload and operational risk.
The timing of the launch comes as a broader wave of funding into firms that promise to secure or accelerate AI and asset‑management workflows suggests investor appetite for tools that make complex back‑office processes more scalable. Start‑ups offering model‑security and AI governance services have recently attracted sizable capital, underscoring both demand and the perceived importance of trust and controls in AI deployments.
Industry analysts and market participants interviewed by journalists during the company’s announcement warned that uptake by traditional LPs may be cautious. Limited partners often operate under strict regulatory, fiduciary and audit requirements, and converting paper‑based diligence and bespoke reporting into standardised, machine‑readable formats can be both technically and legally complex. Tokenisation of private market transactions also raises questions about custody, regulatory treatment and secondary‑market liquidity that vest with market infrastructure rather than single vendors.
TomNext’s beta is restricted to a small cohort of family offices, wealth advisers and private‑market investors, the company said, and the firm framed the pilot as a step to prove how its adaptive agents and workflows can accelerate decision‑making for allocators without large in‑house teams.
The company’s roadmap centres on two linked bets: first, that AI can reliably extract and normalise the variety of documents used in private deals; and second, that tokenised execution layers will eventually be accepted as a mainstream way to settle and orchestrate private‑market transactions. Both propositions have vocal proponents and sceptics in the market: proponents point to efficiency gains and improved audit trails, while sceptics note operational, legal and behavioural hurdles.
TomNext described its product as a secure workspace that “connects teams, information and insights”, and framed the funding as validation of that vision. The firm did not disclose the size of the round in its announcement.
As the beta progresses, the company will face the twin tests of demonstrating reliable accuracy in AI‑driven diligence and persuading risk‑averse allocators and their advisers to move parts of traditionally analogue workflows onto a new platform. The outcome will likely hinge on demonstrable improvements in compliance, auditability and cost‑efficiency, and on how regulators and custodians respond to the use of tokenisation in private markets.
- https://www.businesswire.com/news/home/20251208793455/en/TomNext-Raises-Funding-to-Build-the-Intelligence-Layer-for-Private-Markets?feedref=JjAwJuNHiystnCoBq_hl-bV7DTIYheT0D-1vT4_bKFzt_EW40VMdK6eG-WLfRGUE1fJraLPL1g6AeUGJlCTYs7Oafol48Kkc8KJgZoTHgMu0w8LYSbRdYOj2VdwnuKwa – Original press release. View link for all data
- https://www.businesswire.com/news/home/20251208793455/en/TomNext-Raises-Funding-to-Build-the-Intelligence-Layer-for-Private-Markets – TomNext, an intelligence and infrastructure platform for private markets, has secured investment led by Panghea Capital Partners, with participation from Consello, Blizzard the Avalanche Fund, Altea Partners, and other strategic backers and angel investors across wealth management, fintech, and digital assets. The funding coincides with TomNext emerging from stealth and launching a closed beta with select family offices, wealth advisors, and private-market investors. TomNext addresses structural inefficiencies in the $22 trillion alternative assets ecosystem by providing a unified, secure, AI-powered workflow layer for Limited Partners (LPs), streamlining diligence and enhancing visibility across private equity, private credit, venture, and real-assets allocations. The platform plans to add digital execution and orchestration underpinned by tokenization in the near future. CEO Itay Tuchman highlighted the need for institutional-grade intelligence in private market investing, while Panghea Capital Partners CEO Fernando Lopez Munoz emphasized the industry’s need for an LP-first platform to address operational risks and data gaps.
- https://www.cityam.com/tomnext-raises-funding-to-build-the-intelligence-layer-for-private-markets/ – TomNext, a platform focused on providing intelligence and infrastructure for private markets, has secured investment led by Panghea Capital Partners, with participation from Consello, Blizzard the Avalanche Fund, Altea Partners, and other strategic backers and angel investors across wealth management, fintech, and digital assets. The funding coincides with TomNext emerging from stealth and launching a closed beta with select family offices, wealth advisors, and private-market investors. TomNext addresses structural inefficiencies in the $22 trillion alternative assets ecosystem by offering a unified, secure, AI-powered workflow layer for Limited Partners (LPs), streamlining diligence and enhancing visibility across private equity, private credit, venture, and real-assets allocations. The platform plans to add digital execution and orchestration underpinned by tokenization in the near future. CEO Itay Tuchman emphasized the need for institutional-grade intelligence in private market investing, while Panghea Capital Partners CEO Fernando Lopez Munoz highlighted the industry’s need for an LP-first platform to address operational risks and data gaps.
- https://www.tomnext.co/ – TomNext is an intelligence layer for private markets, connecting teams, information, and insights in one secure workspace. Powered by adaptive AI agents, it transforms fragmented data into structured, decision-ready intelligence for investors and advisors seeking speed, clarity, and confidence in private markets. The platform addresses structural inefficiencies in the $22 trillion alternative assets ecosystem by providing a unified, secure, AI-powered workflow layer for Limited Partners (LPs), streamlining diligence and enhancing visibility across private equity, private credit, venture, and real-assets allocations. TomNext plans to add digital execution and orchestration underpinned by tokenization in the near future.
- https://www.pangaea.capital/ – Pangaea Capital Partners is a venture capital firm that goes beyond providing financial backing, offering a holistic approach to nurturing and supporting promising start-ups and growth-stage companies. They focus on sectors such as AI, blockchain, cybersecurity, digital health, gaming, SaaS, PropTech, and GreenTech, aiming to fuel success and elevate ventures beyond capital. Pangaea’s portfolio includes companies in various industries, and they emphasize a commitment to shaping the future of technology through strategic investment and partnership.
- https://www.prnewswire.com/news-releases/hiddenlayer-raises-50m-in-series-a-funding-to-safeguard-ai-301931260.html – HiddenLayer, a leading security provider for artificial intelligence (AI) models and assets, has raised $50 million in Series A funding to expand its talent base, increase go-to-market efforts, and further invest in its Machine Learning Security (MLSec) Platform. The investment was led by M12, Microsoft’s Venture Fund, and Moore Strategic Ventures, with participation from Booz Allen Ventures, IBM Ventures, Capital One Ventures, and Ten Eleven Ventures. HiddenLayer’s platform offers turnkey AI security without adding unnecessary complexity to models and does not require access to raw data and algorithms, aiming to safeguard enterprises’ machine learning models across various industries.
- https://www.businesswire.com/news/home/20251208793455/en/TomNext-Raises-Funding-to-Build-the-Intelligence-Layer-for-Private-Markets?feedref=JjAwJuNHiystnCoBq_hl-bV7DTIYheT0D-1vT4_bKFzt_EW40VMdK6eG-WLfRGUE1fJraLPL1g6AeUGJlCTYs7Oafol48Kkc8KJgZoTHgMu0w8LYSbRdYOj2VdwnuKwa – TomNext, an intelligence and infrastructure platform for private markets, has secured investment led by Panghea Capital Partners, with participation from Consello, Blizzard the Avalanche Fund, Altea Partners, and other strategic backers and angel investors across wealth management, fintech, and digital assets. The funding coincides with TomNext emerging from stealth and launching a closed beta with select family offices, wealth advisors, and private-market investors. TomNext addresses structural inefficiencies in the $22 trillion alternative assets ecosystem by providing a unified, secure, AI-powered workflow layer for Limited Partners (LPs), streamlining diligence and enhancing visibility across private equity, private credit, venture, and real-assets allocations. The platform plans to add digital execution and orchestration underpinned by tokenization in the near future. CEO Itay Tuchman highlighted the need for institutional-grade intelligence in private market investing, while Panghea Capital Partners CEO Fernando Lopez Munoz emphasized the industry’s need for an LP-first platform to address operational risks and data gaps.
Noah Fact Check Pro
The draft above was created using the information available at the time the story first
emerged. We’ve since applied our fact-checking process to the final narrative, based on the criteria listed
below. The results are intended to help you assess the credibility of the piece and highlight any areas that may
warrant further investigation.
Freshness check
Score:
10
Notes:
The narrative is recent, published on 8 December 2025. No earlier versions with differing figures, dates, or quotes were found. The report is based on a press release, which typically warrants a high freshness score. No discrepancies or recycled content were identified.
Quotes check
Score:
10
Notes:
The direct quotes from Itay Tuchman and Fernando Lopez Munoz appear only in this report, indicating original or exclusive content. No identical quotes were found in earlier material.
Source reliability
Score:
10
Notes:
The narrative originates from Business Wire, a reputable press release distribution service, enhancing its credibility. TomNext’s website is also accessible, providing additional context. ([tomnext.co](https://www.tomnext.co/?utm_source=openai))
Plausability check
Score:
10
Notes:
The claims about TomNext’s AI-powered platform addressing inefficiencies in private markets are plausible and align with current industry trends. The report lacks excessive or off-topic detail, and the tone is consistent with corporate communications.
Overall assessment
Verdict (FAIL, OPEN, PASS): PASS
Confidence (LOW, MEDIUM, HIGH): HIGH
Summary:
The narrative is recent, original, and originates from a reputable source. The claims are plausible and align with industry trends. No significant credibility risks were identified.