AI investors near Palo Alto

Every venture boom on the Peninsula has had a center of gravity: chips in the 1960s, personal computers in the 1980s, the web in the 1990s, mobile and cloud software after that. Since late 2022 it has been artificial intelligence. The shift has been fast enough that a few years of AI deals now outweigh everything else in the national numbers.

This page explains how AI changed local venture capital, lists the AI funds and programs that Sand Hill Road and Palo Alto firms have announced, with dates. It ends with a few practical points for founders. It is not a ranking and it is not investment advice. Firm strategies change quickly, so check each firm's own site before you pitch. Our venture capital guide covers the basics.

The numbers

The PitchBook-NVCA Venture Monitor for the fourth quarter of 2025 put AI at 65.4 percent of US venture deal value for the year and 39.4 percent of deal count. That gap matters. AI deals are not only more common than before; they are much larger on average. The same report found that half of 2025 deal value went to roughly 0.05 percent of completed deals. Deals with corporate venture participation reached $196.7 billion, the highest in a decade.

Put simply, a handful of companies building large AI models raised enormous rounds, often with big technology companies as investors. Underneath those headline deals sits a much larger group of startups applying AI to specific jobs, from coding tools to medical documentation.

From SAIL to ChatGPT

Stanford has been part of AI research since John McCarthy, who coined the term, founded the Stanford Artificial Intelligence Laboratory in 1963. SRI International in Menlo Park built Shakey, an early mobile robot, in the late 1960s. Our page on Stanford and the history of AI tells that story through the reopening of SAIL in 2004 and the launch of the Stanford Institute for Human-Centered Artificial Intelligence in March 2019.

For decades AI was a research field with occasional startup waves. The 2010s brought deep learning and a steady stream of AI companies. The release of ChatGPT in November 2022 changed investor behavior almost overnight. Firms that had backed AI research labs years earlier suddenly held some of the most valuable private stakes in the world. Nearly every firm on Sand Hill Road began describing AI as a priority.

Why San Francisco pulled ahead

The largest AI labs set up mostly in San Francisco. Many founders followed them. That has drawn more investor time north. Peninsula firms still hold much of the capital, though. Stanford remains a major source of AI researchers and founders. Many first meetings happen by video and in-person ones split between Menlo Park, Palo Alto and the city.

What local firms say about AI

The table lists AI-specific announcements from firms with Peninsula offices, based on their websites and the reporting cited on each firm's profile page. Dates are when the item was announced or reported.

Menlo Ventures and Anthropic

Menlo Ventures says it first invested in Anthropic in early 2023 and led a significant follow-on round in 2024. That year it also announced the Menlo Anthology Fund, a $100 million fund built with Anthropic. The firm says the fund backs AI startups from seed to expansion, with investments starting at $100,000.

Khosla Ventures and OpenAI

Khosla Ventures says it was the first venture capital firm to invest in OpenAI, years before ChatGPT. In October 2024 it formed a $405 million special purpose vehicle to invest more. In July 2026 Bloomberg reported that most of the money in the firm's next funds would go to early-stage AI startups.

Firms that describe themselves as AI first

• Mayfield puts "AI first" on its site and describes investing $3 billion in AI companies.
• Kleiner Perkins describes its latest funds as aimed largely at AI across software, health care, transportation and autonomy.
• Foundation Capital wrote the first term sheet for the AI chip maker Cerebras in 2016 and publishes a series called AI in the Real World.
• Costanoa Ventures in Palo Alto leads seed and Series A rounds in applied AI and AI infrastructure.
• True Ventures in Palo Alto offers AI Office Hours, where founders pitch AI personas built from its partners before meeting the real ones.
• Greylock points to AI infrastructure investments it made before ChatGPT launched.

Corporate investors

Big technology companies are among the most active AI investors. NVIDIA invests through NVentures, Microsoft through M12 and Alphabet through GV. Our corporate venture capital guide explains how those arms work and what to weigh before taking their money.

How AI deals differ

• Compute costs. Training and running models can cost far more than a normal software company's cloud bill. Investors ask about gross margins early.
• Speed. Some AI companies reach large revenue in a short time. Others see users leave just as fast. Investors look closely at retention.
• Big rounds and high prices. Valuations for leading AI companies have been far above historical norms, which raises the bar for later rounds.
• Platform risk. A startup built on another company's model can be hurt if that provider changes prices or launches a competing feature.
• Talent. Experienced AI researchers are expensive and scarce, so hiring plans get extra scrutiny.

Advice for founders

1. Be specific. "AI-powered" says little. Explain what the model does, what data it uses and why your approach is hard to copy.
2. Show your unit economics. Know what each customer costs you in compute and how that changes as you grow.
3. Match the firm to your stage. A $3.5 billion late-stage fund is not where a two-person team starts. Our seed funds guide covers early investors.
4. Read the terms. Large AI rounds sometimes include unusual structures. Our term sheet basics explain the standard ones.
5. Use warm introductions. A note from a founder or advisor the firm trusts still works better than an unsolicited message.

Boom risks

Concentration cuts both ways. When a few companies take most of the money, a setback at one of them can ripple through many funds. Venture veterans in the area remember the dot-com crash, when valuations fell sharply after years of fast growth. Nobody knows how the current cycle will end. Founders who keep costs in check and build real revenue tend to have more options whichever way the market turns.

Frequently asked questions