Standard Metrics
Standard Metrics builds AI portfolio monitoring and reporting software for venture capital and private equity firms.
Founded
2020Standard Metrics builds AI portfolio monitoring and reporting software for venture capital and private equity firms.
Standard Metrics runs an AI portfolio monitoring platform that lets venture capital and private equity firms centralize performance data, financial documents, and portfolio metrics. The software automates data collection and reporting so investors can run portfolio reviews and prepare LP reports without manual spreadsheets.
Portfolio companies submit standardized metrics and reports to multiple investors through one platform, which reduces duplicate data entry across investor requests. The product also covers benchmarks, embedded dashboards, an AI analyst, document parsing, and data integrations for moving portfolio data in and out.
Private market investors have long tracked portfolio performance in spreadsheets and one-off email requests, a process that breaks down as funds scale and back more companies. Standard Metrics targets this manual reporting drag as venture and private equity firms manage larger, more active portfolios.
The move toward standardized data infrastructure in private markets mirrors earlier digitization in public markets. As limited partners demand more frequent and consistent reporting, tools that centralize portfolio data are positioned to become core infrastructure for capital allocators.
Standard Metrics standardizes how portfolio companies report metrics to many investors at once, which cuts duplicate data entry across overlapping investor requests. Its AI analyst and document parsing turn unstructured board decks and financial statements into structured, comparable data.
Embedded dashboards and benchmarks let investors compare holdings without building custom spreadsheets. Dozens of global venture firms use the platform, and several of those firms are also investors, which builds a network effect around shared reporting standards.