San Francisco Bay Area
- Agents33%
- Healthcare12%
- AI Models11%
- 01Stack AI98
- 02Devin AI98
- 03Mux96
- 04Artisan AI Platform93
- 05Relay.app92
Falcoscan Atlas tracks 233 AI tools across 16 active global hubs (of 19 mapped). San Francisco Bay Area leads with 123 tools, dominant in Agents. NYC, Boston, London, Paris round out the top five. By heat band, 0 hubs read as saturated, 0 competitive, 0 balanced, and 19 emerging.
19 hubs. 233 tracked tools. Where capital concentrates and where opportunity hides.
| Hub | Country | Tracked tools | Dominant category | Avg opportunity | Heat band |
|---|---|---|---|---|---|
| San Francisco Bay Area | United States | 123 | Agents | 87 | emerging |
| New York City | United States | 27 | Healthcare | 87 | emerging |
| Greater London | United Kingdom | 13 | Legal | 86 | emerging |
| Île-de-France | France | 9 | Agents | 87 | emerging |
| Tel Aviv-Yafo | Israel | 8 | Video | 85 | emerging |
| Greater Toronto | Canada | 5 | Agents | 88 | emerging |
| Greater Boston | United States | 14 | Healthcare | 86 | emerging |
| Seattle Metro | United States | 9 | Agents | 85 | emerging |
| Berlin | Germany | 3 | Agents | 89 | emerging |
| Singapore | Singapore | 0 | — | — | emerging |
| Bangalore | India | 4 | Support | 86 | emerging |
| Beijing | China | 1 | 3D & AR/VR | 84 | emerging |
| Shenzhen | China | 0 | — | — | emerging |
| Greater Tokyo | Japan | 0 | — | — | emerging |
| Stockholm | Sweden | 4 | Legal | 86 | emerging |
| Amsterdam | Netherlands | 2 | Design | 85 | emerging |
| Austin | United States | 2 | Automation | 86 | emerging |
| Los Angeles | United States | 8 | Gaming | 87 | emerging |
| Zürich | Switzerland | 1 | Agents | 88 | emerging |
New entrants face entrenched players. The wedge is vertical, not horizontal.
Real activity, real noise. Differentiation matters more than discovery.
Demand is forming. Builders shipping now have room to define the category.
The map is mostly empty. First-movers set the conventions.
Foundation models, infrastructure, frontier labs
“Where the AI economy is denominated. Saturated at the top, brutal in the middle.”
Applied AI, enterprise, vertical SaaS
“NYC sells the picks and shovels. Less glamour, better margins.”
Research labs, video AI, fintech-native AI
“London is where research becomes product, slowly and well.”
Open source, foundation models, sovereign AI
“Paris owns open source. Everyone else is renting.”
Cybersecurity AI, dev tools, agentic infra
“Tel Aviv ships infrastructure. The unsexy parts everyone needs.”
Deep learning research, healthcare AI
“Toronto trained the founders of half the AI economy.”
Bio AI, robotics, academic spinouts
“Boston is where AI meets atoms.”
Cloud AI, voice, large-org tooling
“Seattle is the quiet AI capital. Built into the pipes.”
Open source, dev tools, enterprise AI
“Berlin builds for builders. Practical, slow-burning, durable.”
APAC distribution, fintech AI, regulated AI
Applied AI, services-to-product, BPO disruption
“Bangalore rewrites the services economy in code.”
Frontier models, computer vision, autonomy
“Beijing builds for the largest market in the world. Different rules apply.”
Hardware AI, robotics, edge inference
Robotics, industrial AI, anime/creative
Open source, audio AI, fintech AI
“Stockholm punches three weight classes above its size.”
Search, recommendation, payments AI
“Amsterdam is where European AI scales commercially.”
Defense AI, robotics, capital-light infra
“Austin took the Bay Area exodus and built something different.”
Creative AI, video, agentic media
“LA is where AI meets entertainment. Volume over rigor.”
Research, robotics, ETH spinouts
“Zurich builds quietly. ETH labs feed half of European AI.”
Fully distributed teams with no fixed HQ
Foundation models versus open source. Enterprise pricing versus prosumer freemium. The same dataset, two perspectives.
Each hub on the left flows into the categories its tools cluster in. Ribbon weight equals tool count. Edges below three tools and hubs producing fewer than three distinct edges are excluded for legibility.
Sankey diagram showing each AI hub on the left flowing into the categories its tools cluster in. 2 hubs, 12 categories, 16 flow edges.
| Hub | Category | Tools |
|---|---|---|
| New York City | Healthcare | 9 |
| New York City | Agents | 5 |
| New York City | Voice | 4 |
| New York City | Support | 3 |
| San Francisco Bay Area | Agents | 41 |
| San Francisco Bay Area | Healthcare | 15 |
| San Francisco Bay Area | AI Models | 13 |
| San Francisco Bay Area | Coding | 8 |
| San Francisco Bay Area | Legal | 6 |
| San Francisco Bay Area | Video | 6 |
| San Francisco Bay Area | Gaming | 5 |
| San Francisco Bay Area | Support | 5 |
| San Francisco Bay Area | 3D & AR/VR | 4 |
| San Francisco Bay Area | Avatars | 3 |
| San Francisco Bay Area | Voice | 3 |
| San Francisco Bay Area | Research | 3 |
Hubs producing fewer than three distinct categorized edges, and edges below three tools, are excluded for clarity. Coverage expands with each quarterly enrichment cycle.
The Q2 2026 edition publishes once the current enrichment cycle completes. Last underlying-data refresh: 2026-04-28.
Falcoscan Editorial · Updated quarterly
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