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The AI safety company behind Claude
Anthropic is an AI safety company founded by former OpenAI researchers, best known for creating the Claude AI assistant family.
Intelligence Coverage
Anthropic is an AI safety and research company founded in 2021 by Dario Amodei, Daniela Amodei, and other former OpenAI researchers. Its primary product is Claude, a family of AI assistants known for safety, helpfulness, and honesty. Anthropic pioneered Constitutional AI (CAI), a method for training AI to be helpful and harmless. Backed by Google and Amazon, Anthropic focuses on AI interpretability research and responsible deployment of frontier models.
Claude AI assistant family
Constitutional AI (CAI) methodology
AI safety & interpretability research
Anthropic API for developers
Claude for Enterprise
Amazon & Google-backed
Frontier model development
Alignment research
OpenAI
OpenAI
OpenAI is the AI safety company and research lab that created ChatGPT, GPT-4, DALL-E, Whisper, and the Sora video generator.
Google AI
Google / Alphabet
Google AI encompasses DeepMind, Google Research, and the teams building Gemini, Google Search AI features, and AI-powered Workspace tools.
xAI
xAI
xAI is Elon Musk's AI company that created Grok, an AI assistant integrated into X (formerly Twitter) with real-time web access.
Anthropic founded
by Anthropic
Claude AI assistant family
Constitutional AI (CAI) methodology
AI safety & interpretability research
Anthropic API for developers
Anthropic today
Active platform with 5+ years of development
Anthropic Claude API
Anthropic's API for Claude — the leading AI assistant for complex reasoning, coding, analysis, and long-context tasks. Supports 200k token context window, tool use, vision, and the Model Context Protocol (MCP). Offers Claude 3.5 Sonnet, Claude 3 Opus, and Haiku variants.
Anthropic Prompt Engineering Guide
Anthropic's official, comprehensive guide to prompt engineering for Claude. Covers system prompts, chain-of-thought, structured outputs, XML formatting, role assignment, and advanced techniques like constitutional AI. Written by the team that builds and trains Claude.
Anthropic Research
Anthropic's research publications covering constitutional AI, interpretability, scaling laws, and AI safety. Anthropic publishes foundational work on making LLMs more honest, harmless, and helpful. The team behind Claude shares their most important findings openly.
RAG (Retrieval-Augmented Generation)
A technique that combines a language model with real-time document retrieval to produce grounded, up-to-date answers.
MCP (Model Context Protocol)
An open standard by Anthropic that lets AI assistants connect to external tools, data sources, and services through a unified protocol.
Agentic AI
AI systems that can autonomously plan, take multi-step actions, use tools, and achieve goals without step-by-step human instruction.
Vector Database
A database purpose-built to store and query high-dimensional vector embeddings, enabling semantic similarity search at scale.
Fine-Tuning
Training a pre-trained language model on a smaller, task-specific dataset to improve its performance on a particular domain or task.
Embeddings
Dense numerical vector representations of text, images, or other data that capture semantic meaning in a form machines can compare.
Prompt Engineering
The discipline of designing and refining input prompts to elicit more accurate, reliable, and useful responses from AI language models.
LLM (Large Language Model)
A deep learning model trained on vast quantities of text that can generate, summarise, translate, and reason about language at human level or above.
AI Intelligence Review
DeepAITool Editorial TeamLast Updated
Jun 2, 2026
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