AI startups in Palo Alto

Palo Alto's AI scene is quieter than San Francisco's. The city has no giant AI campus and few billboards. What it has is a cluster of well-funded companies in downtown walk-ups and research park buildings, a university that has studied artificial intelligence since 1963 and a large share of the investors who fund the field. Many companies that started here have also moved on, either to San Francisco or to bigger offices in nearby towns.

This guide maps the scene as of late 2026. It links to our individual company profiles, which carry the details and sources. For the money side, read our guide to AI investors. For the history, see Stanford and the history of AI.

AI companies based in Palo Alto

These companies give Palo Alto as their base on their own sites, legal pages or recent press releases. Most do not take visitors.

A few patterns

Video generation is unusually strong here. Pika was founded in 2023 by Demi Guo and Chenlin Meng, former Stanford Ph.D. students. It runs from a downtown office. Luma AI, founded in 2021, also gives Palo Alto as its base. Health care is another theme: Hippocratic AI builds voice agents for hospitals and insurers, while Machinify works on payment accuracy for health plans.

Safe Superintelligence is the most unusual. Ilya Sutskever, Daniel Gross and Daniel Levy announced it on June 19, 2024. It says its only product will be safe superintelligence and it raised a reported $1 billion in its first round. Its profile on our site explains what is and is not public about it.

AI companies in the neighboring towns

Many companies that people think of as Palo Alto companies are a few miles away:

• Mountain View: Nuro at 1290 Terra Bella Avenue, which licenses self-driving technology. Contextual AI, an enterprise AI company, lists 150 West Evelyn Avenue, Suite 200, in its privacy notice.
• Los Altos: Toyota Research Institute at 4440 El Camino Real, Toyota's AI and robotics lab.
• Redwood City: C3 AI at 1400 Seaport Boulevard and Character.AI. Character.AI announced a Chapter 11 sale process on October 13, 2026.

Companies that moved away

The area also exports AI companies. Our research found that SambaNova is now in San Jose, Glean in San Francisco, Fireworks AI in San Mateo and Applied Intuition in Sunnyvale. Snorkel AI and Groq use San Francisco datelines. Growing companies need more space than downtown Palo Alto offers. Many also want to be near the San Francisco AI labs that recruit from the same talent pool.

Stanford's AI labs

Stanford is the root of most of this. John McCarthy, who coined the term artificial intelligence, founded the Stanford Artificial Intelligence Laboratory, SAIL, in 1963. The lab worked from the D.C. Power building in the foothills from 1965 to 1980, then merged into the computer science department. It reopened under Sebastian Thrun in 2004.

The Stanford Institute for Human-Centered Artificial Intelligence, known as HAI, launched in March 2019. It funds research across disciplines, hosts public seminars and publishes an annual AI Index report on the state of the field. In November 2024 the School of Engineering opened the Stanford Robotics Center in the basement of the Packard Electrical Engineering Building, which ties AI to physical machines. See our robotics startups guide for more.

Founders spin out of these labs through the Office of Technology Licensing and student programs. Our guide to Stanford entrepreneurship covers OTL, StartX and the free Entrepreneurial Thought Leaders talks. The autumn 2026 ETL series included Pika co-founder Demi Guo on November 18.

Other research nearby

SRI International in Menlo Park built Shakey, an early mobile robot that planned its own actions, between about 1966 and 1972. NASA Ames at Moffett Field and the corporate labs in Stanford Research Park also employ AI researchers. Our research labs guide covers them.

The investors

AI dominates venture funding. According to the PitchBook-NVCA Venture Monitor, AI accounted for 65.4 percent of US venture deal value and 39.4 percent of deal count in 2025. Local firms that invest heavily in AI include:

• In Palo Alto: Accel at 500 University Avenue, DCVC at 270 University Avenue, Fusion Fund at 550 Lytton Avenue, Eclipse at 514 High Street and Playground Global at 380 Portage Avenue.
• On Sand Hill Road: Khosla Ventures, which says it was the first venture investor in OpenAI.
• On El Camino Real in Menlo Park: Menlo Ventures, which runs the $100 million Anthology Fund with Anthropic.

Our AI investors guide, linked above, explains how these firms describe their AI strategies and how AI deals differ from other software rounds.

Working in AI in Palo Alto

AI companies here hire research scientists, machine learning engineers, infrastructure engineers and product people. Compensation tends to be high and equity-heavy. Offices are often small, with hybrid schedules. Downtown and California Avenue are walkable from Caltrain, which makes commuting from San Francisco possible.

The city's office market has room. Kidder Mathews reported Palo Alto office vacancy of 15.1 percent in the third quarter of 2026, with asking rents of $7.50 per square foot per month. Our office space guide explains how leases work here.

Where to see the scene in person

AI companies rarely open their doors, but the people who work at them are easy to meet. Stanford's Entrepreneurial Thought Leaders talks run on Wednesday afternoons during the academic year and are open to everyone. HAI hosts seminars and an annual conference. In the evenings, AI meetups, paper reading groups and demo nights are listed on Luma and Meetup for Palo Alto, Menlo Park and Mountain View. Student builders gather at TreeHacks each February. Our guides to tech and startup events and hackathons list dates where organizers publish them.

The Computer History Museum in Mountain View has galleries on the history of computing and runs CHM Live, a public series of conversations on technology and its effect on society.

Tips for founders starting an AI company here

• Budget for compute early. GPU credits from cloud providers and accelerators can stretch a seed round.
• Think about data rights from day one. Customers and investors will ask where your training data came from.
• Join the Stanford talk circuit even if you are not a student. Many talks are free and open to the public.
• If your product touches health, finance or hiring, expect regulatory questions. Bring in counsel early.

Frequently asked questions