AI Companies
AI Companies
The organisations building AI — the labs racing to the frontier, the hardware makers enabling them, the universities producing the research, and the consultants helping everyone else make sense of it.
Frontier Labs & Inference Providers
The companies building and serving the most capable AI models.
- OpenAI — GPT series, ChatGPT. Biggest brand in AI. Microsoft-backed.
- Anthropic — Claude. Safety-first lab. Founded by ex-OpenAI researchers.
- Google DeepMind — Gemini, AlphaFold. Largest research org. Google’s AI arm.
- Meta AI — LLaMA. Champion of open-weight models. Runs PyTorch.
- Mistral AI — European lab. Efficient, open models. Fast-growing.
- xAI — Grok. Elon Musk’s lab. Integrated with X/Twitter. Optimised for less-filtered responses.
Hardware
The silicon powering everything.
- NVIDIA — Dominates AI compute. GPUs + CUDA = the moat.
Labs & Universities
The academic institutions producing foundational research.
- Johns Hopkins University — Scaling laws. Cross-disciplinary AI research.
AI Consultants
Firms helping organisations adopt, integrate, and govern AI.
ai-consultants/— To be populated
AI Models
The models these companies produce — across every modality. Text, image, video, audio, code, and multimodal.
- AI Models — Complete landscape with comparison tables
- Text Models (LLMs) — Deep dive into LLMs, reasoning models, benchmarks
- Image Generation Models — DALL-E, Midjourney, Stable Diffusion, Flux, Ideogram, and more
- Video AI Models — Sora, Veo, Runway, and the emerging video generation space
- Audio & Speech AI — TTS, speech-to-text, voice cloning, music generation
- Multimodal Models — Models that handle text, image, audio, and video together
- Coding Models — Specialist models for software development
The Landscape
The AI industry has a clear structure right now:
Frontier labs (OpenAI, Anthropic, Google DeepMind) race for the most capable models. They compete on capability, safety, and distribution.
Open-weight labs (Meta AI, Mistral AI) give models away, building ecosystems and undercutting closed APIs.
Hardware (NVIDIA) captures enormous value because everything depends on compute.
Universities (Johns Hopkins University and others) produce the research and people that flow into labs.
Understanding who builds what — and why — helps you navigate the rest of this hub. The models these companies produce are what the Learning section explains, what the Legal section regulates, and what the Safety section worries about.
Go Deeper
- AI Research — The papers these labs produce
- Heroes of AI — The people running and founding these companies
- AI Timeline — When these companies were founded and what they shipped
- AI Intelligence Hub — Back to the hub home