Standard Metrics secured $20 million in Series B funding, led by 8VC, to expand its AI powered portfolio management tools for VC and PE firms that already serve over 150 investors managing $400 billion in assets and 10,000+ portfolio companies.
Standard Metrics, an AI driven portfolio management platform for venture capital and private equity, announced a $20 million Series B funding round. The round was led by 8VC, with participation from Salesforce Ventures, Spark Capital, January Capital, First Trust Capital Partners, Socii Capital, Kindergarten Ventures, Calm Ventures, Gaingels, and others.
The company has raised roughly $50 million to date overall, with a substantial portion coming from its own customers. This Series B follows earlier capital raises that included a seed round of approximately $5.8 million in 2020 and a $23.7 million Series A in 2022 (also led by 8VC), along with subsequent smaller rounds.
What is Standard Metrics?
Founded in 2020 (originally as Quaestor) by John Melas-Kyriazi (co-founder and CEO) with support from the 8VC Build program, Standard Metrics set out to address longstanding inefficiencies in private market investor relations. Traditional processes relied heavily on spreadsheets, email threads, and PDFs for portfolio updates, KPI tracking, and reporting, creating fragmented data, high administrative burdens for both GPs and portfolio companies, and limited visibility for LPs and auditors.
Melas-Kyriazi, a former investor at Spark Capital with a background as a research scientist at Stanford (materials science and engineering), brought direct experience from both sides of the investor-operator relationship. The platform began as a reporting network focused on automating collaboration between investors and portfolio companies. It has since expanded into a centralized system of record for portfolio performance and investment data.
Key product capabilities now include:
- Automated data collection with configurable templates, progress tracking, and integrations with systems of record (e.g., accounting tools).
- AI document parsing that extracts financial data from board decks and statements, combined with a human QA layer for audit grade accuracy.
- An on-platform AI Analyst that answers natural language queries across the portfolio on performance, risk, benchmarks, and more.
- Model Context Protocol (MCP) server interoperability, allowing connection to tools like Claude and ChatGPT for querying portfolio data within existing workflows.
- Embedded BI and visualization tools, Excel syncing/export options, institutional grade tear sheets, and LP reporting templates.
- Benchmarking against an aggregated, anonymized dataset of more than 10,000 venture backed companies.
Customers report significant efficiency gains, such as reducing time spent on data collection and structuring by up to 90%, cutting quarterly reporting processes dramatically (e.g., from 15 days to 2 days in one case), and improving data quality and response rates from portfolio companies.
The platform supports more than 150 investment firms managing over $400 billion in assets under management, along with more than 10,000 portfolio companies and over 20 million company metrics. Approximately 30% of investors on the current Forbes Midas List are customers. Named clients include General Catalyst, Bessemer Venture Partners, Accel, Lux Capital, 8VC, Spark Capital, January Capital, and others.
Business growth has been substantial: roughly 20x since the Series A. The company is headquartered in San Francisco with a distributed team and emphasizes SOC 2 and GDPR compliance.
Proceeds will deepen AI capabilities (including further development of document processing, the AI Analyst, and MCP features), expand the team, and broaden adoption among private market investors and portfolio companies. The company frames AI as both an enabler of its product and a broader force reshaping private markets, unlocking faster data ingestion, analysis, and decision making in a competitive environment where proprietary AI infrastructure is costly for individual firms to build.
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Leadership emphasizes that firms adopting AI native tools now will shape the next era of private markets. The platform’s network effects (denser data improves benchmarks and reduces reporting friction for companies dealing with multiple investors) and data moat (standardized, auditable metrics from thousands of companies) are positioned as durable advantages.
Private markets remain relatively analog compared with public markets, despite financing highly innovative companies. Rising LP demands for transparency, the need for faster portfolio reviews and valuations, audit/compliance pressures, and the competitive intensity of VC/PE create demand for modern infrastructure. AI tailwinds accelerate this shift by enabling agentic workflows and reducing reliance on manual processes.
Standard Metrics competes in the portfolio monitoring and reporting space against tools such as Vestberry, Visible.vc, Chronograph, Cobalt, and broader fund operating systems or BI platforms. It differentiates through institutional grade data governance and auditability, AI native features (including MCP interoperability), deep benchmarking, and a dual sided network serving both investors and portfolio companies. It is frequently cited as a strong fit for institutional and growth stage VC/PE firms seeking a system of record rather than lightweight founder-facing tools.
The investor syndicate is notable for continuity and strategic fit. 8VC has been involved since the company’s founding and continues as lead; Salesforce Ventures, Spark Capital, and others (including customer-investors) reinforce product market fit and potential ecosystem integration. 8VC manages over $9 billion in committed capital and has a track record in financial services and enterprise software.
The round signals confidence in Standard Metrics’ ability to scale its AI driven platform amid growing private market digitization. With strong traction among top-tier firms, a clear product roadmap centered on AI, and a mission to create more efficient infrastructure for the innovation economy, the company is positioned to expand its role as a foundational data and analytics layer for VC and PE portfolio management.
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