San Francisco AI startups have raised $400.3B across 2,589 deals since 2023. That figure is not a typo. It reflects a city (and a broader Bay Area) that has consolidated its position as the undisputed center of gravity for artificial intelligence, powered by mega-rounds from OpenAI and Anthropic, a deep bench of seed-stage founders, and a venture capital apparatus that now channels 81% of regional startup funding into AI. OpenAI alone accounts for $100.0B of that total, a figure that grew to $110B when the round formally closed in late February 2026.
Our analysis of 2,589 funding rounds reveals where the money flows, which SF AI companies command it, and what the data signals for founders and investors entering 2026.
On this page
- San Francisco Captured $400.3B in AI Funding Across 2,589 Deals (2023-2026)
- Top 14 AI Startups in San Francisco by Funding
- Which AI Verticals Are Hottest in San Francisco?
- Who's Funding SF's AI Boom? The Top 10 Investors
- Seed to Series E: How SF AI Startups Raise Capital
- Beyond SF City: Palo Alto, Mountain View, and the Bay Area AI Map
- FAQ: AI Startups in San Francisco
- Methodology
San Francisco Captured $400.3B in AI Funding Across 2,589 Deals (2023-2026)
In 2023, Bay Area AI startups closed 559 deals worth $60.6B. In 2024, that rose to 736 deals worth $52.9B (more deals, less capital per round). By 2025, deal volume jumped to 1,073 deals and $133.1B, a 151.5% increase in capital deployed over 2024. The first months of 2026 have already surpassed all of 2025: 221 deals worth $153.7B, propelled by OpenAI’s $100.0B mega-round.
| Year | Deals | Total Funding | Avg. Deal Size |
|---|---|---|---|
| 2023 | 559 | $60.6B | $108.4M |
| 2024 | 736 | $52.9B | $71.9M |
| 2025 | 1,073 | $133.1B | $124.0M |
| 2026 YTD | 221 | $153.7B | $695.4M |
| Total | 2,589 | $400.3B | $154.6M |
Source: Bot Memo analysis of 2,589 deals (2023-2026)
The 2026 average is skewed by OpenAI’s $100.0B mega-round, but even excluding it, AI startup funding in San Francisco shows no sign of deceleration. The median deal size sits at $16.0M, suggesting healthy activity well below the headline-grabbing billions.
The San Francisco Federal Reserve convened a discussion with venture capitalists on the structural shift in AI investing. Crunchbase and HumanX data show AI venture capital hit $211B globally in 2025, with the Bay Area capturing 60% of that total. No other metro comes close. For context, compare this to AI startups in New York, Boston’s AI startup ecosystem, or our broader look at san francisco venture capital ai trends.
Top 14 AI Startups in San Francisco by Funding
The top ai companies san francisco are dominated by infrastructure and developer tools builders. All 14 companies in this table have raised $1.0B or more, a threshold that would have represented a Series C landmark just five years ago.
| Rank | Company | Funding | Stage | City | Vertical | Lead Investors |
|---|---|---|---|---|---|---|
| 1 | OpenAI | $100.0B | N/A | San Francisco | Dev Tools & AI Infra | SoftBank, Amazon, NVIDIA |
| 2 | xAI | $20.0B | Series E | Palo Alto | Dev Tools & AI Infra | N/A |
| 3 | Databricks | $15.3B | Series J | San Francisco | Dev Tools & AI Infra | Thrive Capital |
| 4 | Anthropic | $13.0B | Series F | San Francisco | Dev Tools & AI Infra | ICONIQ |
| 5 | Cursor (Anysphere) | $2.3B | Series D | San Francisco | Enterprise Software | Accel, Thrive, a16z |
| 6 | Thinking Machines Lab | $2.0B | Seed | San Francisco | Dev Tools & AI Infra | a16z |
| 7 | Groq | $1.5B | N/A | Mountain View | Dev Tools & AI Infra | Kingdom of Saudi Arabia |
| 8 | Lambda | $1.5B | Series E | San Francisco | Dev Tools & AI Infra | TWG Global |
| 9 | Cerebras Systems | $1.1B | Series G | Sunnyvale | Dev Tools & AI Infra | Fidelity |
| 10 | Scale AI | $1.0B | Series F | San Francisco | Dev Tools & AI Infra | Accel |
| 11 | Safe Superintelligence | $1.0B | Seed | Palo Alto | Dev Tools & AI Infra | NFDG |
| 12 | Grammarly | $1.0B | Growth | San Francisco | Enterprise Software | General Catalyst |
| 13 | PsiQuantum | $1.0B | Series E | Palo Alto | Dev Tools & AI Infra | BlackRock, Temasek |
| 14 | Figure | $1.0B | Series C | San Jose | Manufacturing & Industrials | Parkway Venture Capital |
Source: Bot Memo analysis of 2,589 deals (2023-2026)
Thinking Machines Lab raised $2.0B at the seed stage, an amount that would have been a respectable Series D just three years ago. Safe Superintelligence, founded by OpenAI co-founder and former chief scientist Ilya Sutskever, pulled in $1.0B at the seed stage. These outliers reflect investor willingness to write enormous checks before a product ships, so long as the founding team has frontier AI credentials. OpenAI and Anthropic in San Francisco together account for $113B of the top 14 total, underscoring the city’s dominance in ai infrastructure startups.
For a broader view of the largest rounds globally, see our analysis of top 50 AI startups that raised $50M+.
Which AI Verticals Are Hottest in San Francisco?
Enterprise Software leads in deal count with 925 funded rounds. But Developer Tools & AI Infrastructure commands the most capital, thanks to the ai infrastructure startups like OpenAI, Anthropic, and Databricks that anchor the Bay Area.
| Vertical | Deals | Share of Total* |
|---|---|---|
| Enterprise Software | 925 | 25.3% |
| Dev Tools & AI Infra | 671 | 18.3% |
| Health & Biotech | 372 | 10.2% |
| FinTech | 278 | 7.6% |
| Cybersecurity | 232 | 6.3% |
Percentages reflect multi-vertical attribution (companies tagged to multiple verticals are counted in each)
Source: Bot Memo analysis of 2,589 deals (2023-2026)
AI startup funding san francisco follows a clear pattern: the gap between Enterprise Software and Dev Tools & AI Infrastructure drops from 254 deals to near parity when measured by dollars rather than deal count. AI infrastructure startups in San Francisco alone raised $74B in equity funding through 2025, and the city has produced 13 unicorns in that vertical alone.
Health & Biotech’s 372 deals reveal a less-discussed strength of the bay area ai companies ecosystem. Drug discovery, clinical trial optimization, and medical imaging AI have attracted consistent mid-market funding, including the $10M to $50M rounds that build durable companies rather than headlines.
Generative ai companies sf are distributed across verticals: content generation tools appear in Enterprise Software, code assistants in Dev Tools, and synthetic data platforms in AI Infrastructure.
Who’s Funding SF’s AI Boom? The Top 10 Investors
San Francisco venture capital ai activity is concentrated among a familiar set of firms, but their strategies differ markedly.
| Rank | Investor | Deals (2023-2026) |
|---|---|---|
| 1 | Y Combinator | 228 |
| 2 | Andreessen Horowitz | 118 |
| 3 | General Catalyst | 116 |
| 4 | Lightspeed Venture Partners | 100 |
| 5 | Sequoia Capital | 95 |
| 6 | Khosla Ventures | 82 |
| 7 | Menlo Ventures | 67 |
| 8 | Accel | 65 |
| 9 | Alumni Ventures | 64 |
| 10 | Bessemer Venture Partners | 57 |
Source: Bot Memo analysis of 2,589 deals (2023-2026)
Y Combinator leads by a wide margin with 228 deals, reinforcing the accelerator’s role as the primary pipeline for san francisco ai startups at the earliest stages. YC’s San Francisco AI cohorts feed the ecosystem with pre-seed and seed-stage companies, many of which go on to raise from the growth-stage firms on this list.
Andreessen Horowitz follows at 118 deals and has committed $1.7B to an AI infrastructure fund on top of a prior $1.25B allocation. The firm is reportedly seeking to raise $20B for growth-stage AI investments, which would be its largest fund ever. General Catalyst (116 deals), Lightspeed (100), and Sequoia (95) round out the top five.
Khosla Ventures, at 82 deals, was an early backer of both OpenAI and Anthropic. The firm holds positions in dozens of san francisco venture capital ai deals spanning infrastructure, applications, and silicon valley ai startups beyond SF city limits.
The investor concentration has a compounding effect: founders relocate to San Francisco because the capital is here, and VCs double down on sf ai companies because the talent density justifies it. The sf startup ecosystem feeds on this cycle: more capital attracts more founders, which attracts more capital.
Seed to Series E: How SF AI Startups Raise Capital
Seed stage dominates by deal count, with 851 of 2,589 deals (32.9%). But the funding story is more nuanced than “seed is king.”
| Stage | Deals | Share |
|---|---|---|
| Seed | 851 | 32.9% |
| Series A | 608 | 23.4% |
| Series B | 325 | 12.5% |
| Series C | 171 | 6.6% |
| Pre-Seed | 122 | 4.7% |
Source: Bot Memo analysis of 2,589 deals (2023-2026)
The 851 seed deals tell us that San Francisco remains the top city for starting an AI company, not just scaling one. AI startup funding san francisco is as much about early bets as it is about mega-rounds. Combined with 122 pre-seed rounds, the earliest stages account for 37.5% of all deals.
Series A (608 deals) and Series B (325 deals) show a 71% conversion rate from seed to Series A by deal count (608 of 851 seed deals), indicating that a majority of seed-funded bay area ai companies progress to institutional rounds. The 171 Series C deals indicate a healthy pipeline of companies scaling past initial traction.
The ai funding trends 2025 data shows a widening gap between the haves and have-nots. Crunchbase reported that AI funding is increasingly concentrated in fewer, larger rounds, a trend our data confirms. The top 14 companies in our dataset account for $161.7B of the $400.3B total.
AI unicorn startups continue to emerge from this pipeline. With 56 AI Platforms companies raising funding (those training foundation models or designing AI chips), the Bay Area maintains its lead in frontier AI research, the most capital-intensive and talent-demanding segment of the market. For silicon valley ai startups at the growth stage, the path from seed to unicorn increasingly runs through San Francisco.
Beyond SF City: Palo Alto, Mountain View, and the Bay Area AI Map
San Francisco city proper accounts for 1,705 of 2,589 deals, 65.8% of Bay Area AI activity. But the surrounding cities contribute meaningfully to the silicon valley ai startups ecosystem.
| City | Deals | Notable Companies |
|---|---|---|
| San Francisco | 1,705 | OpenAI, Anthropic, Databricks, Scale AI |
| Palo Alto | 227 | xAI, Safe Superintelligence, PsiQuantum |
| San Jose | 121 | Figure |
| Mountain View | 86 | Groq |
| Santa Clara | 84 | N/A |
| Menlo Park | 69 | N/A |
| San Mateo | 63 | N/A |
| Redwood City | 54 | N/A |
| Sunnyvale | 44 | Cerebras Systems |
| South San Francisco | 38 | N/A |
| Berkeley | 35 | N/A |
Source: Bot Memo analysis of 2,589 deals (2023-2026)
Palo Alto’s 227 deals include several AI unicorn startups: xAI ($20.0B), Safe Superintelligence ($1.0B), and PsiQuantum ($1.0B). The city functions as a secondary hub for san francisco ai startups with Stanford connections, particularly in frontier research and deep tech.
The physical footprint matches the funding data. AI companies now occupy 7 million square feet of San Francisco office space, 12% of the city’s total occupied space. Anthropic alone leased the entire 420,000-square-foot building at 300 Howard Street, as part of a 900,000+ sq ft footprint across multiple Howard Street buildings. Together, openai anthropic san francisco represent the two largest office footprints among AI-native companies in the city.
CBRE data shows the Bay Area now has 76,079 AI tech workers, up from 61,497 in 2024, with one-seventh of all U.S. AI-specialty talent concentrated in the region. AI-related job postings reached a 42% share of all tech job postings in the Bay Area by mid-2025, up from 20% in mid-2022.
This talent density is a structural advantage. For a city-by-city comparison of how other metros stack up, see our AI funding by city breakdown.
FAQ: AI Startups in San Francisco
What are the top AI startups in San Francisco?
The largest san francisco ai startups by funding are OpenAI ($100.0B), Databricks ($15.3B), Anthropic ($13.0B), Cursor ($2.3B), and Thinking Machines Lab ($2.0B). Our dataset tracks 2,589 funded AI companies across the Bay Area from 2023 to 2026, with San Francisco city proper accounting for 1,705 deals.
How much AI funding goes to San Francisco?
AI startup funding san francisco reached $400.3B across 2,589 deals from 2023 through early 2026. The Bay Area captured 60% of global AI venture capital in 2025, with $126.6B of the $211.0B global total flowing to the region.
Why is San Francisco the AI capital of the world?
Three factors reinforce each other: capital concentration (all top 10 investors in our dataset are active in the Bay Area), talent density (76,079 AI workers, one-seventh of all U.S. AI-specialty talent), and proximity to frontier labs. OpenAI and Anthropic in San Francisco, two of the three most-funded AI labs in history, both maintain headquarters and primary research teams in the city.
What percentage of global AI funding goes to San Francisco?
The Bay Area captured 60.0% of global AI venture capital in 2025, per industry reporting. Within the Bay Area, SF city proper captures 65.8% of deals. That means San Francisco alone accounts for a disproportionate share of worldwide AI investment.
Which VCs invest most in San Francisco AI startups?
Y Combinator leads with 228 deals, followed by Andreessen Horowitz (118), General Catalyst (116), Lightspeed Venture Partners (100), and Sequoia Capital (95). These five firms participated in 657 deals combined, 25.4% of all Bay Area AI rounds.
What AI verticals are strongest in San Francisco?
Enterprise Software (925 deals) and Dev Tools & AI Infrastructure (671 deals) together account for 43.6% of all Bay Area AI deals. SF ai companies in AI infrastructure dominate by funding amount, with top ai companies san francisco like OpenAI, Anthropic, and Databricks raising a combined $128.3B.
How does SF compare to New York and London for AI startups?
San Francisco’s 2,589 deals and $400.3B in funding dwarf both cities. Our 2025 AI funding statistics show New York as the second-largest U.S. hub, but the Bay Area’s 60% share of global AI VC leaves a wide gap. London leads Europe but competes at a different scale.
Methodology
This analysis covers 2,589 AI startup funding rounds in the San Francisco Bay Area from January 2023 through March 2026. Data is sourced from company announcements, press releases, regulatory filings, and newsletter monitoring across 900+ sources per week. All funding amounts are reported in USD. Companies are classified using Bot Memo’s AI classification framework (AI Native, AI Augmented, AI Adjacent, AI Platforms, AI Application). Bay Area is defined as San Francisco, Palo Alto, San Jose, Mountain View, Santa Clara, San Mateo, Menlo Park, Redwood City, Sunnyvale, South San Francisco, Berkeley, and surrounding cities. Deal counts reflect individual funding rounds, not unique companies.
About the author
Editorial Staff
The Editorial Staff at Bot Memo is a team of writers, analysts, and AI agents dedicated to mapping the global AI startup ecosystem. Led by Chintan Zalani, the team tracks thousands of funding rounds, classifies companies across verticals, and distills it all into actionable intelligence for investors and founders.
