Standard Metrics announced the launch of its AI Analyst, an agent that can access and analyze data across the Standard Metrics application to streamline portfolio analysis for venture capital and private equity firms.

The AI Analyst enables investors to use natural language questions when conducting analysis across their entire portfolio and receive clear, actionable answers in seconds.

Earlier this year, Standard Metrics introduced an initial version of its AI-powered analyst focused on individual portfolio companies. That early release allowed the company to observe how customers interacted with AI-driven analysis and identify where it could provide the most value.

One insight stood out from our users' prompts: customers wanted portfolio-level intelligence embedded directly into their existing workflows.

"Customers were using the early version constantly, but they kept asking broader questions," said John Melas-Kyriazi, CEO at Standard Metrics. "They wanted to understand trends across their full portfolio, compare companies in context, and do it all without leaving our platform. This launch is a direct response to that feedback."

With today's release, the AI Analyst now supports portfolio-wide analysis, streamlining traditionally manual internal processes like portfolio review, LP reporting, and ad-hoc analysis. The AI Analyst leverages on-platform portfolio data like financial KPIs and qualitative notes. Because it operates entirely within the platform, the AI Analyst's responses are grounded in the most current and relevant data available to each firm.

Over the next year, Standard Metrics will continue expanding the AI Analyst's capabilities and will add support for additional data sets and AI-driven chart creation.