Accel secures $5B fund to invest in late-stage startups

Accel has raised $5 billion to invest in late-stage startups, strengthening its position in global venture capital and growth-stage funding.

Apr 20, 2026 - 04:46
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Accel secures $5B fund to invest in late-stage startups

Accel said on Tuesday that it has secured $5 billion in new capital to support late-stage companies, signalling continued momentum in venture funding tied to the rapid expansion of artificial intelligence technologies.

According to details shared with Bloomberg, $4 billion of the total capital will be allocated to Accel’s Leaders Fund, which is focused on late-stage investments. The firm plans to make at least 20 investments through this fund, with each deal expected to average around $200 million. Accel indicated it intends to prioritise companies developing AI-driven technologies, particularly in sectors such as software, hardware, robotics, defence technology, and data centre infrastructure.

In addition to the primary fund, limited partners have contributed approximately $650 million toward a separate “sidecar” fund. This structure is designed to give Accel additional flexibility to increase its stake in select portfolio companies when opportunities arise, allowing the firm to double down on high-performing investments.

Accel has built a broad investment track record over the years, backing more than 800 companies globally. Its portfolio includes high-profile names such as Anthropic, Perplexity, and Lovable, reflecting its growing focus on next-generation AI platforms and tools.

The new fundraising comes at a time when competition among venture firms is intensifying, particularly in areas linked to artificial intelligence. With demand for AI infrastructure and applications accelerating, firms like Accel are increasing the size of their late-stage funds to remain competitive and secure positions in rapidly scaling companies in this space.

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Shivangi Yadav Shivangi Yadav reports on startups, technology policy, and other significant technology-focused developments in India for TechAmerica.Ai. She previously worked as a research intern at ORF.