Accel funding hits $3.5 billion for global startup bets

Accel funding reached $3.5 billion across four new funds as young AI companies raise larger rounds earlier in their lives. The money spans the US, Europe, Israel and India.

The venture firm, founded in 1983, said the new capital will support early-stage startups and follow-on investments across its main regions. Its recent portfolio includes artificial intelligence companies Anthropic, Cursor and Perplexity.

Four funds divide $3.5 billion

The largest component is a $1.35 billion global expansion fund, set aside for larger early-stage rounds and fast follow-on checks. Accel also raised $800 million for US investments, mainly in Silicon Valley, and another $800 million for Europe and Israel.

India will receive $550 million in new capital, which is $100 million below the size of Accel’s previous India fund. The US and Europe funds both increased to $800 million from $650 million, giving those regions larger pools than in the prior cycle.

London-based partner Harry Nelis framed the financing environment in unusually direct terms: "Companies raise more money, more quickly, earlier in their company life than ever before." He said larger checks leave the firm managing more capital while early-stage risk remains largely unchanged.

Nelis said Accel has kept its core early-stage funds relatively modest compared with many other venture firms. The expansion fund gives it a way to split larger rounds between a regional vehicle and a later-stage pool, rather than stretching one fund across both jobs.

AI rounds test seed norms

Accel’s fundraising arrives as AI startups are changing the scale of early venture deals. San Francisco Bay Area partner Steve Loughlin said the firm has expanded over the past two years from AI application and infrastructure startups into deep-tech areas such as materials science and manufacturing.

The firm’s recent deals include Periodic Labs, an AI scientific discovery platform that raised a $300 million seed round last year at a $1.3 billion valuation. Periodic Labs fits into the emerging “neolab” model, where companies take large amounts of capital at inception to finance research-heavy projects.

Other large seed-stage AI companies cited in Accel’s portfolio orbit include Thinking Machines Lab, founded by former OpenAI chief technology officer Mira Murati, and Safe Superintelligence Inc., started by OpenAI co-founder Ilya Sutskever. Those companies show how technical teams with high-profile founders can command unusually large early rounds.

Loughlin drew a boundary around billion-dollar seed-stage startups: "You can’t really construct a fund of just those types of deals." He said most early investments still target startups where Accel can secure meaningful ownership for its check.

Global footprint becomes pitch

Accel is presenting its geography as part of its offer to founders. A US startup may use Accel’s India network to add engineering capacity, while a founder in Israel can be reached quickly by partners closer to the region.

The firm is also trying to deepen ties with Silicon Valley talent before companies are formed. It has launched an in-person residency for aspiring founders next to its San Francisco office, with no required investment commitment attached.

The fundraising also comes with an internal shift. Daniel Levine, an Accel partner who backed Scale AI and Vercel, will not make investments from this fund or future funds, an Accel spokesperson confirmed.

Levine remains a partner and will continue serving on boards and supporting existing portfolio companies. The arrangement keeps his current company relationships in place while moving new investment authority to other partners.

Scenarios for Accel’s new cycle

If large AI seed and early-stage rounds continue, venture capital is likely to remain concentrated among firms with reserves for repeated checks. For Accel, that would make the global expansion fund central to defending ownership in fast-moving companies; for the wider sector, it would keep pressure on smaller funds that cannot match follow-on demands.

If AI valuations cool instead, Accel’s regional fund structure may become more useful as a pacing tool, allowing it to invest smaller checks while preserving capital. The main open test is whether founders continue accepting large early rounds at high valuations, or whether investors regain leverage as capital becomes more selective.