Applied AI · Employer directory
Applied AI companies, profiled for the people who will work there.
Foundation-model labs, AI infrastructure, AI developer tools, and big-tech AI divisions. Each profile names the products shipping, the headcount range, where the company sits in the landscape, and the AI roles each company typically hires.
Foundation Models
OpenAI
San Francisco, California · 2,000-5,000
Frontier large language models and consumer + API AI products
Anthropic
San Francisco, California · 500-1,000
Claude model family and AI safety research applied to product
Mistral AI
Paris, France · 50-200
Open-weight and proprietary language models with EU regulatory positioning
xAI
Palo Alto, California · 100-500
Grok model family with X-platform data integration
Cohere
Toronto, Ontario, Canada · 200-500
Enterprise-grade language models for RAG and tool use
AI Infrastructure
AI Applications
Anysphere (Cursor)
San Francisco, California · 20-50
AI-native code editor with multi-model routing and agent mode
Replit
Foster City, California · 100-200
Browser-based development environment with AI agent for full-stack app generation
Perplexity
San Francisco, California · 50-100
AI answer engine with cited web search and conversational retrieval
Harvey
San Francisco, California · 50-100
Generative AI for elite law firms and corporate legal departments
Glean
Palo Alto, California · 500-1,000
Enterprise federated search and AI assistant grounded in company-wide knowledge
Notion AI
San Francisco, California · 500-1,000
Workspace and docs platform with integrated AI assistant and workspace-grounded retrieval
AI Developer Tools
Vercel
San Francisco, California · 500-1,000
Developer platform with AI SDK, AI Gateway, and edge deployment
LangChain
San Francisco, California · 50-200
Open-source LLM application framework plus commercial observability and orchestration
GitHub Copilot (Microsoft / GitHub)
San Francisco, California (GitHub HQ); Redmond, Washington (Microsoft parent) · 10,000+ (GitHub); 220,000+ (Microsoft)
AI pair-programmer integrated into GitHub, VS Code, JetBrains, and CLI workflows
Codeium (Windsurf)
Mountain View, California · 100-200
AI code completion plugin plus the Windsurf agent-native IDE
Sourcegraph
San Francisco, California · 200-500
Code search + AI coding assistant grounded in whole-codebase context
Tabnine
Tel Aviv, Israel · 100-200
AI code completion with privacy and on-premise enterprise deployment as core differentiators
AI Evaluation & Safety
Lakera
Zurich, Switzerland · 20-50
Inference-time AI security: prompt injection and data leakage detection at the API edge
Robust Intelligence
San Francisco, California · 50-100
AI risk management: pre-deployment validation plus runtime guardrails for ML and LLM systems
HiddenLayer
Austin, Texas · 50-100
Model security: detecting adversarial attacks, model theft, and ML supply chain compromise
Galileo
San Francisco, California · 50-100
Generative AI evaluation and observability: hallucination scoring and RAG quality measurement
Big Tech AI Divisions
Meta AI
Menlo Park, California · 10,000+
Open-weight Llama model family and AI integration across Meta consumer products
Microsoft AI
Redmond, Washington · 5,000-10,000
Copilot consumer AI plus Azure AI commercial infrastructure (partnered with OpenAI)
NVIDIA
Santa Clara, California · 30,000+
GPU hardware plus CUDA / NeMo / Triton software stack for AI training and inference
IBM watsonx
Armonk, New York · 280,000+ (parent); 4,000+ (watsonx + IBM Research AI)
Enterprise AI platform with open-weight Granite models, lakehouse, and governance tooling
Salesforce AI Cloud
San Francisco, California · 70,000+ (parent); 5,000+ (AI Cloud)
AI agents and grounded LLM features inside Salesforce CRM, Service, and Marketing Cloud
AWS AI (Amazon Web Services)
Seattle, Washington · 100,000+ (AWS); 1,500,000+ (Amazon)
Cloud AI infrastructure: GPU and custom-silicon compute, managed model services, AI applications
AI Research Labs
Google DeepMind
London, United Kingdom · 5,000-10,000
Frontier AI research integrated with Google Cloud and consumer surfaces
Allen Institute for AI (Ai2)
Seattle, Washington · 200-500
Open foundational AI research with fully reproducible training pipelines and open datasets
Mila (Quebec AI Institute)
Montreal, Quebec, Canada · 1,200+ researchers across affiliated universities
Foundational deep-learning research, AI safety research, and AI researcher training
Stanford HAI (Human-Centered AI Institute)
Stanford, California · 200-500 (affiliated faculty and researchers)
Human-centered AI research, AI policy, and the annual AI Index industry benchmark publication
DecipherU is not affiliated with, endorsed by, or sponsored by any company listed in this directory. Information compiled from publicly available sources for educational purposes.