This free sheet contains 100 accelerators and incubators you can apply to today, along with information about the industries they generally invest in.
This free sheet contains all the information about the top 100 unicorns, including their valuation, HQ's location, founded year, name of founders, funding amount and number of employees.
This free Notion document contains the best 100+ resources you need for building a successful startup, divided in 4 categories: Fundraising, People, Product, and Growth.
San Francisco is home to 211 unicorn startups. The city's startup environment is heavily influenced by companies in the artificial intelligence sector.
AI research company OpenAI leads the group with a $500B valuation. It is followed by other major AI players like Anthropic, which is valued at $183B.
Below is the full list of 211 San Francisco unicorn startups at this time.
Everything you need to raise funding for your startup, including 3,500+ investors, 7 tools, 18 templates and 3 learning resources.
Buy It For $97 $297 →Information about the industries, countries, and cities they generally invest in.
Get the Sheet for $50Information about their valuation, HQ's location, founded year, name of founders, funding amount and number of employees.
Get the Sheet for $50List of startup investors in the BioTech, Health, and Medicine industries, along with their Twitter, LinkedIn, and email addresses.
Get the Sheet for $50List of 250 startup investors in the AI and Machine Learning industries, along with their Twitter, LinkedIn, and email addresses.
Get the Sheet for $50List of 250 startup investors in the FinTech and Finance industries, along with their Twitter, LinkedIn, and email addresses.
Get the Sheet for $50The team at OpenAI develops some of the world's most advanced AI models, including the popular conversational AI, ChatGPT. Their work in generative AI has pushed the boundaries of machine learning and natural language processing.
Anthropic develops large-scale AI models with a core focus on safety and research. They are best known for their AI assistant, Claude, which is built to be helpful, harmless, and honest.
Databricks builds a unified data and AI platform on a lakehouse architecture, designed for data engineering, analytics, and machine learning. The team originally created the open-source technologies that power its platform, including Apache Spark, Delta Lake, and MLflow.
Ripple builds enterprise crypto solutions that enable fast, low-cost cross-border payments for financial institutions. Their platform also provides tools for digital asset custody and sourcing crypto liquidity for businesses.
JUUL launched an electronic nicotine vaporizer that offered an alternative for adult smokers. They became widely known for a discreet, USB-like device and flavored nicotine pods that fueled their rapid growth.
Cruise builds all-electric, self-driving vehicles to offer a new form of urban transportation. Their driverless ride-hailing service is designed to make getting around cities safer and more accessible.
Anysphere operates as an applied research lab creating AI tools that automate software engineering tasks. They built Cursor, a code editor designed for pair-programming with AI.
Scale AI provides a data-centric platform to help companies build and deploy AI applications. They are known for supplying the high-quality, human-annotated data required to train sophisticated models for computer vision and generative AI.
Perplexity created a conversational AI answer engine that provides direct, accurate responses to user questions. Their platform synthesizes real-time information from the web and provides citations for every answer, functioning as an alternative to traditional search engines.
Miro provides a visual collaboration platform that functions as a digital whiteboard for teams. They are best known for an infinite canvas that allows remote and hybrid teams to brainstorm ideas, map out user journeys, and run interactive workshops.
The ten most valuable companies are an impressive group, but they're only a small part of the city's startup story. Many other founders are building in fields like AI and fintech, raising tens of billions of dollars to fund their growth. Some are early in their journey while others are scaling fast, and all are part of what makes the Bay Area's scene so strong. Here’s a look at the rest of the unicorns shaping San Francisco today.
| Unicorn Startup | Main Industry | Year Founded | Amount Raised | Valuation |
|---|---|---|---|---|
| Fintech | 2019 | $1.3B | $17B | |
| Education | 2016 | $2.4B | $17B | |
| Crypto | 2011 | $1.3B | $20B | |
| Crypto | 2015 | $995.4M | $15B | |
| AI | 2009 | $1.4B | $13B | |
| Retail | 2017 | $1.7B | $13B | |
| Fintech | 2017 | $1.7B | $12.3B | |
| AI | 2025 | $2B | $12B | |
| Fintech | 2003 | $1.2B | $12B | |
| Retail | 2019 | $974.7M | $12B | |
| Infrastructure | 2013 | $1.4B | $12B | |
| Crypto | 2017 | $563.9M | $10.2B | |
| AI | 2023 | $483.6M | $10B | |
| AI | 2023 | $896M | $10B | |
| AI | 2023 | $635M | $10B | |
| Media | 2016 | $343.2M | $10B | |
| AI | 2011 | $497.5M | $10B | |
| Fintech | 2011 | $746.1M | $10B | |
| Media | 2010 | $770M | $9B | |
| AI | 2022 | $1B | $8B | |
| Logistics | 2013 | $2.7B | $8B | |
| Media | 2005 | $985.9M | $7.5B | |
| Fintech | 2012 | $1.2B | $7.4B | |
| AI | 2015 | $583M | $7.25B | |
| Fintech | 2016 | $752M | $7B | |
| Fintech | 2013 | $1.3B | $6.1B | |
| Biotech | 2012 | $411.9M | $6.1B | |
| Enterprise | 2015 | $1.3B | $6B | |
| Infrastructure | 2014 | $433M | $6B | |
| AI | 2013 | $526M | $5.2B | |
| Security | 2017 | $800M | $5B | |
| Crypto | 2025 | $500M | $5B | |
| AI | 2020 | $496.1M | $5B | |
| AI | 2013 | $570M | $5B | |
| AI | 2014 | $740.1M | $5B | |
| Healthcare | 2020 | $487M | $5B | |
| Logistics | 2011 | $821M | $4.2B | |
| AI | 2018 | $503M | $4.15B | |
| Infrastructure | 2017 | $575M | $4B | |
| AI | 2021 | $447M | $4B | |
| SaaS | 2013 | $334.9M | $4B | |
| Fintech | 2017 | $452.2M | $4B | |
| Fintech | 2010 | $170.2M | $4B | |
| Fintech | 2017 | $918M | $4B | |
| Data | 2018 | $721.2M | $4B | |
| Education | 2014 | $434M | $4B | |
| AI | 2014 | $549.1M | $4B | |
| Media | 2013 | $413.3M | $4B | |
| Fintech | 2011 | $468.2M | $4B | |
| Energy | 2013 | $523.5M | $4B | |
| Automation | 2011 | $1.4M | $4B | |
| Media | 2020 | $110M | $4B | |
| Analytics | 2014 | $654.1M | $3.45B | |
| AI | 2022 | $533.5M | $3.3B | |
| Healthcare | 2014 | $514M | $3.3B | |
| AI | 2023 | $156M | $3.21B | |
| Enterprise | 2017 | $141M | $3.2B | |
| Enterprise | 2014 | $334M | $3.2B | |
| Marketplace | 2008 | $773.2M | $3.2B | |
| AI | 2023 | $626M | $3B | |
| AI | 2013 | $717.3M | $3B | |
| Crypto | 2019 | $264M | $3B | |
| Crypto | 2017 | $487M | $3B | |
| Fintech | 2016 | $474.5M | $3B | |
| Crypto | 2021 | $268M | $3B | |
| Infrastructure | 2012 | $217M | $3B | |
| Media | 2015 | $1.1B | $3B | |
| Media | 2015 | $240.2M | $3B | |
| Cloud | 2013 | $729.5M | $3B | |
| AI | 2018 | $253.8M | $3B | |
| Enterprise | 2015 | $914.6M | $3B | |
| Crypto | 2012 | $461.4M | $3B | |
| Real Estate | 2017 | $263.5M | $3B | |
| Analytics | 2018 | $250.1M | $3B | |
| Infrastructure | 2013 | $248M | $3B | |
| Enterprise | 2015 | $330.3M | $3B | |
| Healthcare | 2015 | $622.5M | $3B | |
| Media | 2017 | $1.1B | $3B | |
| Fintech | 2019 | $496M | $3B | |
| AI | 2024 | $470M | $2.8B | |
| Enterprise | 2009 | $1.1B | $2.7B | |
| Media | 2013 | $498M | $2.4B | |
| Cloud | 2012 | $334.2M | $2.25B | |
| Enterprise | 2020 | $371.3M | $2.2B | |
| Media | 2009 | $151.9M | $2.2B | |
| Healthcare | 2020 | $905M | $2.2B | |
| Media | 2019 | $252M | $2.2B | |
| Fintech | 2015 | $160M | $2.17B | |
| AI | 2019 | $285M | $2.15B | |
| AI | 2020 | $90M | $2.1B | |
| Media | 2020 | $326M | $2B | |
| AI | 2015 | $251.3M | $2B | |
| AI | 2019 | $370.5M | $2B | |
| Analytics | 2011 | $356.8M | $2B | |
| Security | 2018 | $417.5M | $2B | |
| AI | 2017 | $344.1M | $2B | |
| AI | 2021 | $131M | $2B | |
| AI | 2023 | $231M | $2B | |
| Analytics | 2020 | $181.2M | $2B | |
| AI | 2015 | $107.9M | $2B |
