Allvue Launches PE Data Set Covering 10K Funds

Allvue Systems has rolled out the Nexius Private Equity Data Set, a large-scale performance and benchmarking database built from the operational systems of more than 10,000 private equity funds representing roughly $2 trillion in AUM. The launch expands the firm’s Nexius Data & Analytics suite and aims to give GPs and LPs a primary‑source view into private markets that have historically relied on delayed, survey‑based datasets. 

By aggregating anonymized data directly from the accounting and portfolio systems used by nearly 600 private capital firms, Nexius standardizes information covering about $9 trillion in AUM or AUA. The new private equity module spans over 10,000 funds and 60,000 portfolio companies, with more than 70 standardized KPIs including net IRR, TVPI, DPI, RVPI, NAV, capital calls, distributions and valuation history, organized consistently across vintages, strategies, geographies and fund sizes.  

Allvue said the dataset is continuously refreshed, providing what it describes as real‑time, operationally sourced benchmarks rather than static survey snapshots. 

Dmitri Sedov, Allvue’s chief data and analytics officer, said private markets have lacked “primary‑source, real‑time data pulled directly from the granular accounting systems where fund performance is actually managed,” and cast the Nexius PE data set as a way to benchmark results, analyze liquidity and enhance LP reporting with greater confidence. 

The launch builds on Allvue’s Private Credit Data Set, introduced in 2025, which tracks around 75,000 loans and 50,000 borrowers across 200‑plus KPIs, including facility structures, covenants and borrower financials.  

The credit and equity datasets are designed to provide both asset‑level fidelity and fund‑level scale, supporting underwriting, NAV financing, portfolio monitoring and AI‑driven analytics. Allvue’s 2026 GP Outlook Survey found that while AI is a top technology priority, only 23% of GPs consider themselves above average in AI usage, with data readiness still a key constraint.