Claude models combine long-context reasoning, tool use, and constitutional AI safety. Built for enterprise workflows where accuracy and auditability matter.
Trusted by leading organisations
Anthropic trains Claude using constitutional AI, producing models that are helpful, harmless, and honest without relying solely on human feedback.
Claude supports extended thinking for complex reasoning, structured tool use for API interactions, and prompt caching for cost-efficient production workloads. 200K+ token context windows process entire codebases or legal documents in a single request.
Technology snapshot
Current industry demand for this technology
How widely used by development teams worldwide
How well it handles growth in load and complexity
At a glance
Multi-turn conversation, structured tool calling, JSON mode, and streaming for production workflows.
200K token contexts for entire codebases, legal documents, or financial reports without chunking.
Up to 90% cost reduction for repeated system prompts. Route by complexity across Opus, Sonnet, and Haiku.
Claude in APRA-regulated banking and healthcare with audit logging and PII redaction.
Extended thinking, tool use, prompt caching, and Batch API for structured multi-step workflows.
Retrieval-augmented generation with vector stores, reranking, and citation extraction.
Token counts, latency, tool invocations, and quality metrics traced for every call.
Next.js front-ends, Python orchestration, vector databases, and CI/CD. One team from prompt to production.
Benchmarking Claude against GPT-4 and Gemini on actual use cases with structured evaluation.
Talk to our AI team about Claude integration, RAG pipeline design, or regulated deployment.
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