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Anthropic: What is Anthropic?

5 min read Mis à jour le 05 Apr 2026

Définition

Anthropic is the American AI company that developed Claude, an LLM renowned for its reliability, precise instruction following, and responsible safety approach. KERN-IT uses Claude as its primary model for software development (Claude Code) and its AI solutions.

What is Anthropic?

Anthropic is an artificial intelligence research and safety company founded in 2021 by Dario Amodei and Daniela Amodei, former OpenAI executives. The company distinguishes itself through its explicit mission: developing reliable, interpretable, and steerable AI systems. This 'safety-first' approach is reflected in the design of Claude, their flagship model, which prioritizes honesty (admitting limitations rather than hallucinating) and faithful instruction following.

Claude, available in several variants (Opus, Sonnet, Haiku), is recognized as one of the world's most performant LLMs, particularly in nuanced reasoning, long document analysis, and code generation. Claude 3.5 Sonnet surpassed GPT-4 on numerous benchmarks in 2024, and Claude Opus excels at complex reasoning and advanced programming tasks. The 200,000-token context window is among the largest on the market.

Anthropic has also introduced landmark innovations in the AI ecosystem: MCP (Model Context Protocol), an open standard for connecting LLMs to external tools and data sources, and Claude Code, an AI-assisted development tool that integrates directly into the developer's terminal. KERN-IT uses Claude as its reference technology, both for developing its own software (via Claude Code) and for KERNLAB's AI solutions.

Why Anthropic Matters

Anthropic occupies a unique position in the AI ecosystem thanks to its reliability-and-safety-centered approach, a decisive advantage for professional applications.

  • Reliability and honesty: Claude is designed to admit when it doesn't know rather than hallucinate. This property is crucial for business applications where trust in responses is non-negotiable.
  • Instruction following: Claude excels at precisely following complex, nuanced instructions, making it the preferred model for applications requiring controlled, predictable behavior.
  • Massive context window: with 200,000 tokens, Claude can analyze entire documents, complete codebases, or long conversation histories without context loss.
  • Open innovation: MCP (Model Context Protocol) is an open standard that benefits the entire AI ecosystem, not just Claude users.
  • Assisted development: Claude Code has transformed developer productivity by offering a programming assistant capable of understanding entire codebases and producing production-quality code.

How It Works

The Anthropic API exposes Claude via a Messages endpoint that accepts a system prompt, message history, and tool definitions (function calling / tool use). The API is designed to be simple and powerful, with features like token streaming, prefix caching (which reduces costs by caching repetitive prompts), and batching for bulk processing.

The Claude model range is stratified. Claude Opus is the most powerful model, optimal for complex reasoning and advanced programming. Claude Sonnet offers the best quality-to-cost ratio for most professional tasks. Claude Haiku is the fastest and most economical model, ideal for high-volume simple tasks like classification and data extraction.

Anthropic developed innovative training techniques, notably RLHF (Reinforcement Learning from Human Feedback) and Constitutional AI (CAI), where the model is trained to respect a set of ethical and behavioral principles rather than simply imitating human preferences. This approach produces a model that is not only performant but also aligned with values of reliability and transparency.

Concrete Example

KERN-IT has made Claude its reference technology for development and AI. Internally, developers use Claude Code daily for assisted programming: analyzing Django/Python codebases, code generation, automated code review, and debugging. Claude Code understands the complete project architecture (the KERN-IT CMS is a Django/Wagtail project) and produces code that respects existing conventions.

For KERNLAB solutions, Claude is used in client AI projects thanks to its superior reliability and instruction following. In an internal benchmark on project management tasks (document summarization, information extraction, report writing), Claude Sonnet outperformed GPT-4o by 15% in accuracy and 30% in response format compliance as defined in the system prompt. For clients in regulated sectors (finance, healthcare), Claude's tendency to acknowledge limitations rather than hallucinate is a decisive advantage.

Implementation

  1. Obtain an API key: sign up at console.anthropic.com and create an API key. Configure spending limits and service level.
  2. Choose the model: Opus for advanced reasoning, Sonnet for general use (best quality-to-cost ratio), Haiku for volume and speed.
  3. Leverage the system prompt: Claude gives particular importance to the system prompt. Investing time in its design significantly improves result quality.
  4. Use tool use: Anthropic's function calling (tool use) implementation is particularly well-designed for AI agents with precise function schemas.
  5. Enable prefix caching: for applications with long system prompts or repetitive context documents, prefix caching reduces input costs by 90%.
  6. Install Claude Code: for development teams, Claude Code installs via npm and integrates into the terminal, offering a contextual programming assistant.

Associated Technologies and Tools

  • Models: Claude Opus, Claude 3.5 Sonnet, Claude Haiku — complete range for all use cases
  • Development tools: Claude Code (terminal programming assistant), Claude.ai (conversational web interface)
  • Protocols: MCP (Model Context Protocol) for connecting Claude to external tools and data
  • Integrations: AWS Bedrock, Google Cloud Vertex AI for enterprise cloud deployment
  • SDK: anthropic (Python), @anthropic-ai/sdk (TypeScript), community libraries for other languages

Conclusion

Anthropic and Claude represent an AI approach centered on reliability, honesty, and control — essential qualities for professional applications. KERN-IT chose Claude as its reference technology because these values align with its own software quality standards. Whether for AI-assisted development via Claude Code or KERNLAB's intelligent assistant solutions, Claude is the engine powering innovation at KERN-IT while ensuring the reliability clients expect.

Conseil Pro

Enable Anthropic's prefix caching from day one. If your system prompt exceeds 1,024 tokens (common for a business assistant), you'll save 90% on repetitive input tokens. It's the most impactful and simplest cost optimization to implement.

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