
What happened
In June, Menlo Ventures announced $3 billion in new capital across two funds—Menlo Ventures XVII for seed and Series A companies, and Menlo Inflection IV for Series B and beyond—marking the firm's largest raise in its 50-year history. The capital will target companies across the AI market, from foundational models and infrastructure to enterprise, healthcare, and consumer applications.
Why it matters
The raise reflects how central AI has become to Menlo's strategy and signals the firm's conviction that winning AI companies need sustained capital through hypergrowth. Partner Matt Murphy notes that AI companies are staying private longer and winners emerge faster than in previous software cycles; the dual-fund structure lets Menlo back founders from formation through later rounds that can require hundreds of millions of dollars. Murphy also identifies a shift from Phase 1 (developers picking any model) to Phase 2 (companies optimizing spend and infrastructure choices in a multi-model world), creating new opportunities in infrastructure and software delivery tooling.
What to watch
Murphy describes the current moment as "a rare land-grab moment," with infrastructure seeing disproportionate opportunity as enterprises adopt multi-model approaches. He flags a key bottleneck: getting new code into production faster, safely, and securely—fueling tailwinds for companies like Harness, Semgrep, and Greptile. Menlo has also backed roughly five of what it believes are the best of approximately 60 model companies, with plans to lean into one or two as they ramp.
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Menlo's $3 billion raise marks a pivotal moment in how the venture firm allocates capital within AI. The dual-fund structure reflects a fundamental recognition that AI companies operate under different economic pressures than prior software generations—they require sustained, often massive capital injections to maintain hypergrowth and avoid being overtaken by competitors. Murphy's emphasis on moving from Phase 1 (undifferentiated model adoption) to Phase 2 (infrastructure and cost optimization in a multi-model world) suggests that Menlo sees the era of picking a single foundational model as closed; instead, enterprises will need specialized models and the infrastructure to manage them. This view informs the firm's expanded bets on infrastructure companies like Fireworks, Modal, and OpenRouter, alongside vertical-specific models like Chai Discovery and Skild.
Murphy also reveals an internal shift in investment discipline. Despite the abundance of capital flowing into AI, he notes that "many AI categories are overfunded, and there is a huge amount of speculation." Yet Menlo has responded not by pulling back but by doubling down selectively on what it judges to be the clearest winners—a strategy validated by its early, multi-round backing of Anthropic. The firm's willingness to deploy $100 million-plus into companies like Lovable and Suno signals confidence that the winners of this cycle will compound at "unprecedented rates," justifying both the concentration of capital and the higher valuations those companies command. This approach implicitly accepts that most AI startups will not survive the consolidation Murphy predicts.
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