Tetrix, an AI investment platform for limited partners in alternative markets, has secured $15 million in a Series A round co-led by White Star Capital and Innovation Endeavors, alongside several angel investors. The New York-based company will use the funding to advance its product, expand its team and accelerate international growth as institutional investors face an expanding volume of complex private-market data. Tetrix says its platform already supports clients overseeing more than $100 billion in assets under management, positioning the business to address a large infrastructure gap across the more than $20 trillion alternative-investment market.
Modernising Private-Market Intelligence
Private markets have expanded rapidly over the past decade, but the technology used to manage information within the asset class has not evolved at the same speed. Limited partners often rely on PDFs, spreadsheets, disconnected reporting tools and manual analyst work to assess fund managers, portfolio performance and risk exposure. Tetrix is targeting that inefficiency with software designed to transform difficult-to-use source material into structured intelligence that can inform investment decisions.
The platform collects proprietary investor data, extracts financial information from complex fund documents and consolidates it into a single operating environment. It combines agentic workflows, AI-based data normalisation and real-time analytics to help investment teams work with information that would otherwise remain dispersed across documents and systems. Rather than serving as a general-purpose AI assistant, Tetrix is built specifically around the reporting formats, diligence processes and portfolio-monitoring requirements of private-market allocators.
Customer Adoption and Workflow Gains
Since launching commercially in September 2024, Tetrix says it has signed dozens of institutional clients in the United States, Canada, Europe and Southeast Asia. Its users include endowments, foundations, pension funds, sovereign wealth funds, fund-of-funds managers and family offices, many of which oversee multi-billion-dollar portfolios. The company said the breadth of this client base reflects growing demand for technology that can give decision-makers faster visibility across their fund investments.
Tetrix claims its platform can compress some analyst processes from around 45 days to a single day and reduce thousands of hours of manual work per investment. Innovation Endeavors partner Harpinder Singh said this performance represented a more substantial shift than a conventional productivity improvement, describing Tetrix as a potential system of record for investment teams. White Star Capital general partner Christophe Bourque also said the company was building an AI-native data and orchestration layer for a sector still dependent on ageing infrastructure.
From Diligence to Decision-Making
The company’s stated objective is to close the gap between information collection and portfolio-level decision-making. Ben Choi, managing partner at Next Legacy, said Tetrix had simplified manager diligence and strengthened his firm’s ability to assess a portfolio spanning more than 30,000 companies and hundreds of funds. By automating the interpretation and standardisation of recurring fund data, the platform is intended to give investors a more current view of exposures, opportunities and potential issues.
Tetrix was founded by Olivier Babin and Naunidh Singh Bhalla, who met while studying at Stanford Graduate School of Business. Their backgrounds in private-market investing and fintech engineering led them to focus on the operational constraints created by legacy data systems in alternative assets. The founders launched Tetrix to apply recent advances in artificial intelligence to an area of finance where reporting remains largely unstructured and time-consuming.
The Series A financing gives Tetrix additional capital to develop its product, hire across the business and extend its presence in global institutional markets. Its long-term opportunity rests on whether private-market investors increasingly replace manual, document-heavy workflows with AI-driven data infrastructure that can operate in real time. As asset allocators seek deeper transparency and faster analysis, Tetrix is aiming to become a core technology provider for how they monitor and manage private-market portfolios.