AEACTS OF EVOLUTION

THE DATABASE · 144 COMPANIES

Every company on the AI map, one page each.

Plain-English profiles of what each company actually does, why it matters in the AI economy, how it makes money, and every connection with its source. The same records power the searchable database on the home page and the relationship map; this is the plain list.

Inclusion in this database is not an endorsement of a company or its securities. Data: AI Map v3.22, released .

01 Energy and the electrical grid

The companies that generate, distribute and manage the electricity AI infrastructure runs on. AI data centers use enormous amounts of power, so the companies producing and delivering that electricity are just as critical to the AI economy as the chip makers.

02 Data centers and physical infrastructure

The buildings, land, cooling systems, backup power and electrical equipment that physically house AI computing. Every AI model has to run somewhere — these companies build and operate the real-world facilities that make that possible.

03 Semiconductor manufacturing equipment

The highly specialized machines and design software used to create advanced chips in the first place. Without these tools, no chip maker in the world — including the ones building NVIDIA's chips — could produce anything.

04 Chip manufacturing, memory and packaging

The foundries, memory makers, and packaging and testing businesses that physically manufacture AI chips. This is where a chip design actually becomes a real, physical piece of silicon.

05 AI chips and networking

The companies designing the processors, accelerators and networking equipment that do the actual computing behind AI, including GPUs like NVIDIA's, and the high-speed connections that link thousands of them together.

06 Servers and AI factories

The companies that assemble chips, memory and networking into complete servers and racks, turning individual components into the working computers that actually train and run AI models.

07 Cloud and specialized AI compute providers

The companies that buy up AI infrastructure and rent out computing power to AI developers and businesses. This is how most companies access AI computing without building their own data centers.

08 Foundation models and AI laboratories

The organizations actually building the AI models themselves, like the systems behind ChatGPT, Claude or Gemini. This is the most crowded, fastest-moving layer of the AI economy right now.

09 AI infrastructure software

The tools developers use to build, train, deploy and manage AI systems: the software layer that sits between raw computing power and a finished AI product.

10 AI applications

Companies putting AI to work in real products across healthcare, finance, coding, legal, defense and more. This is where AI actually reaches everyday users and businesses.

11 Robotics, autonomous systems and physical AI

Companies bringing AI into the physical world: self-driving cars, humanoid robots, drones and factory automation. This is often called "physical AI."

12 Space and next-generation infrastructure

Launch providers, satellite builders and operators, ground networks and the first attempts at running computing in orbit. Most of these companies have no AI business today; they are on this map because of what they carry, connect or build for the companies that do.

13 Financial and investment

The investors and financial firms whose capital is funding the AI buildout. These companies don't build AI technology themselves — they supply the enormous amounts of money it takes to build everything else on this map.