TomNext Emerges From Stealth With AI-Driven Workflow Platform for LPs

TomNext, a startup tackling inefficiencies in the $22 trillion alternative assets market, has emerged from stealth and launched a closed beta for a select group of family offices, wealth advisors, and private-market investors. The company also announced a new funding round to accelerate product development and scale its platform.

TomNext aims to modernize the workflows that slow capital deployment for Limited Partners (LPs), replacing fragmented, manual processes with a unified, secure, AI-powered platform.

Solving Bottlenecks in Alternative Investments

Despite record deal flow across private equity, venture capital, private credit, and real assets, LPs often face structural obstacles:

  • Fragmented diligence workflows
  • Unstructured deal and financial data
  • Inconsistent reporting
  • Manual, analog execution processes

These inefficiencies are compounded by the growing volume and complexity of deals. TomNext’s platform is designed to streamline diligence, structure deal collateral, and provide LPs with clearer visibility across allocations, making decision-making faster and more informed.

AI at the Core

TomNext leverages institutional-grade artificial intelligence to automate and standardize key workflows traditionally handled by human analysts. Early capabilities include:

  • Structuring and organizing deal documents
  • Aggregating unstructured data for analysis
  • Improving reporting consistency and portfolio visibility

The company plans to introduce digital execution and orchestration next year, underpinned by tokenization, potentially allowing LPs to transact and manage positions more efficiently on-chain.

CEO and co-founder Itay Tuchman emphasized:

“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.”

LP-First Approach

Investors, especially family offices and wealth managers, often operate with limited internal teams yet face increasingly complex deal processes. TomNext positions itself as an LP-first platform, giving smaller teams access to institutional-level intelligence.

Fernando Lopez Munoz, CEO of Panghea Capital Partners and an early backer, said:

“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.”

Why This Matters

The platform addresses several persistent pain points in private markets:

  1. Speed: AI-driven workflows reduce bottlenecks in diligence and execution.
  2. Clarity: Structured data and analytics improve decision-making quality.
  3. Scalability: Smaller LPs can handle more deal flow without increasing headcount.
  4. Future-Proofing: Tokenized execution lays the groundwork for blockchain-enabled alternative markets.

As private markets continue to grow, tools like TomNext could become essential infrastructure for LPs seeking efficiency, transparency, and operational resilience.

Bottom Line

TomNext’s closed beta and AI-first approach signal a shift in alternative-asset technology. By focusing on LP workflows, integrating institutional-grade intelligence, and building a future tokenized execution layer, the startup aims to modernize a market that has relied on manual, fragmented processes for decades.

For family offices, wealth advisors, and private-market investors, TomNext offers the promise of speed, clarity, and scale in managing alternative investments, potentially redefining the LP experience in private markets.

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