ET Capital launches Cambridge Venture Index Fund 2 to broaden access to deeptech investing

2026-04-16 · Source: Tech.eu - Tech.eu · Field: Finance & Economics — Capital Markets & Investment Management, Entrepreneurship & Start-ups, Emerging Technologies & Innovation · Depth: Fundamental Awareness, quick

Summary

ET Capital has launched the Cambridge Venture Index SEIS/EIS Fund 2 (CVIF2), a new investment vehicle designed to back up to 20 early-stage, science-based startups from the Cambridge and Oxford ecosystems. This fund expands on their first fund, CVIF1, which was raised in 2025 and is investing in ten companies. CVIF2 aims to provide sophisticated angel investors with broader access to deeptech opportunities, focusing on diversified, risk-adjusted returns. ET Capital's strategy is based on proprietary research that analyzed nearly 200 Cambridge startups from 1992 to 2024, modeling synthetic venture funds that consistently outperformed the FTSE 100 Index. This data-driven approach contrasts with traditional venture capital's "picking winners" methodology, aiming to balance significant potential with reduced risk through diversification.

Key takeaway

For sophisticated angel investors seeking exposure to early-stage deeptech, consider diversified venture index funds like CVIF2. This approach, backed by historical data showing outperformance against traditional indices, offers a structured way to mitigate risk while accessing high-potential science-led startups from robust ecosystems like Cambridge and Oxford. Evaluate funds that prioritize data-driven portfolio construction over "picking winners" to broaden your investment reach.

Key insights

Diversified venture index funds can outperform traditional VC by leveraging data-driven portfolio models.

Principles

• Diversification reduces risk in early-stage venture investing.
• Data-driven portfolio modeling can identify high-performing startup clusters.

Method

ET Capital's method involves analyzing historical startup financing data to model synthetic venture fund performance, then applying these criteria to build diversified portfolios of science-led startups.

In practice

• Target deeptech startups from established science clusters.
• Utilize SEIS/EIS schemes for tax-efficient investment.

Topics

• ET Capital
• Cambridge Venture Index Fund
• Deeptech Investing
• Science-led Startups
• Data-driven Portfolio

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Editorial summary, takeaway, and curation by AIssential. Original article published by Tech.eu - Tech.eu.