Anthropic is an AI safety company that develops the Claude family of large language models, offered through a consumer app, an API for developers, and major cloud platforms.

Who founded Anthropic?

Anthropic was founded in 2021 by Dario Amodei and Daniela Amodei, along with a group of colleagues who had previously worked at OpenAI.

Claude is Anthropic's family of large language models, available in different tiers balancing capability, speed, and cost, and used for tasks like writing, coding, analysis, and conversation.

Is Claude free to use?

Claude offers a free tier with usage limits through claude.ai, alongside paid subscription plans and metered API access for developers who need higher usage or more capable models.

What is Constitutional AI?

Constitutional AI is an alignment technique developed by Anthropic in which a model is trained to evaluate and revise its own responses against a written set of principles, reducing reliance on large volumes of human feedback.

How is Anthropic different from OpenAI?

Both are frontier AI labs building large language models, but Anthropic was founded specifically around AI safety research and publishes distinct approaches such as Constitutional AI and its Responsible Scaling Policy; OpenAI is the creator of the GPT model family.

What is the Model Context Protocol?

The Model Context Protocol (MCP) is an open standard, closely associated with Anthropic, that lets AI models connect to external tools, files, and data sources in a consistent way.

Where can I access Claude?

Claude can be accessed via the claude.ai web and mobile apps, the Anthropic API for developers, and through cloud marketplaces such as Amazon Bedrock and Google Vertex AI.

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Anthropic

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Anthropic is an AI safety-focused research company that builds the Claude family of large language models, offering them through consumer apps, the Claude Developer Platform (API), and major cloud marketplaces.

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Definition

Overview

Anthropic was founded in 2021 by Dario Amodei and Daniela Amodei, along with several former OpenAI researchers, with a stated mission of ensuring that increasingly capable AI systems remain safe and beneficial as they scale. This safety focus shapes much of Anthropic's public research, including work on interpretability, alignment techniques, and its own Responsible Scaling Policy for deciding when new model capabilities are safe to release. Anthropic's flagship product is Claude, a family of large language models available in different capability and cost tiers (commonly branded Haiku, Sonnet, and Opus). Claude can be used directly through the claude.ai chat interface, embedded into products via the Claude API, or accessed through third-party platforms such as Amazon Bedrock and Google Vertex AI. Anthropic also builds developer-facing tools, including Claude Code for agentic coding workflows, and helped popularize the Model Context Protocol (MCP), an open standard for connecting models to external tools and data sources. Like other frontier labs, Anthropic trains its models using large-scale pre-training followed by alignment techniques such as Constitutional AI, a method that trains models to critique and revise their own outputs against a set of guiding principles rather than relying solely on human-labeled feedback. Anthropic's approach and products are frequently covered in resources like Building Your First AI-Powered App with the Anthropic API and AI Safety and Ethics: What Every Developer Should Know, and Claude is commonly used alongside frameworks like LangChain for building retrieval-augmented and agentic applications — topics covered in SkillVeris's Large Language Models and AI Agents & Agentic Workflows courses.

Key Features

Claude model family across multiple capability/cost tiers (Haiku, Sonnet, Opus)
Constitutional AI approach to alignment and safety training
Claude Developer Platform (API) for integrating Claude into applications
Large context windows supporting long documents and conversations
Claude Code, an agentic coding assistant for developers
Support for the Model Context Protocol (MCP) for tool and data integration
Availability through major cloud marketplaces, including Amazon Bedrock
Published Responsible Scaling Policy governing model capability releases

Use Cases

Conversational AI assistants for consumers and enterprises

AI-assisted software development and agentic coding workflows

Document summarization and analysis at scale

Customer support automation

Retrieval-augmented generation (RAG) over internal knowledge bases

Research assistance, content drafting, and brainstorming

Embedding conversational AI into third-party products via API

Frequently Asked Questions

From the Blog

AI & Technology

Building Your First AI-Powered App with the Anthropic API

The fastest way to understand AI engineering is to build something real. This project- based guide walks you through building a writing assistant powered by Claude — from your first API call through streaming responses, a FastAPI backend, a simple frontend, and deployment.