Anthropic Claude
Build with Claude's frontier reasoning and coding capabilities. We integrate Anthropic's Claude models for applications requiring reliable, sophisticated AI.
Current model landscape
The Claude model family offers three tiers, each designed for different performance and cost requirements. All models support hybrid reasoning.
Claude Opus
Anthropic's most capable model. Particularly strong for coding, agents, and computer use. Designed for the hardest tasks where quality and reliability matter most.
Claude Sonnet
Balances capability and efficiency. A strong default for production applications that need solid performance without using the most heavyweight model for every step.
Claude Haiku
Optimised for speed. A good choice for lightweight assistants and higher-volume steps when paired with appropriate validation.
What makes Claude different
Claude has characteristics that distinguish it from alternatives in the market.
Coding excellence
Claude Opus is considered the world's best coding model, with sustained performance on long-horizon, complex software engineering tasks.
Agentic capability
Strong tool use and instruction following make Claude exceptionally effective for agents that need to work independently.
Computer use
Claude can interact with graphical interfaces, navigating websites and applications to complete tasks.
Extended context
Support for 200,000 tokens as standard, with million-token windows available through beta features.
Safety orientation
Anthropic's focus on AI safety means Claude is designed to be helpful while refusing harmful requests appropriately.
Honest uncertainty
Claude acknowledges when it does not know something rather than fabricating confident-sounding answers.
Use cases for Claude
Software development
Building features, refactoring code, debugging complex issues. Claude Code enables agentic coding from the terminal.
Complex analysis
Reviewing documents, evaluating arguments, synthesising information across sources.
Customer service
Handling nuanced enquiries where understanding context and responding appropriately matters.
Agent development
Building systems that take action, use tools, and complete multi-step workflows.
Content generation
Producing thoughtful, well-structured content that meets detailed specifications.
Browser automation
Tasks requiring interaction with web applications and interfaces via computer use capabilities.
Access options
Claude is available through multiple channels. The right choice depends on your existing cloud environment and requirements.
Anthropic API
Direct access with full feature support.
Amazon Bedrock
Claude within AWS infrastructure with AWS security and billing.
Google Cloud Vertex AI
Claude as part of Google Cloud's model offering.
Frequently Asked Questions
What is Claude best at?
Complex reasoning, careful analysis, and coding-heavy workflows -- especially when tasks require sustained focus and good instruction-following.
Should we use Claude directly or via a cloud platform?
It depends on your environment and governance needs. If you are AWS-first or GCP-first, using the managed option can simplify controls and operations.
Do we need agent behaviour to get value?
Not always. Many use cases work well with structured prompts and retrieval. Agents are useful when work is multi-step and tool-driven.
How do you handle hallucinations or incorrect answers?
We ground responses in approved sources, validate outputs where possible, and design safe fallbacks when confidence is low.
Build with Claude
We help organisations use Claude effectively, from prompt engineering to full agent development. Book a call to discuss your requirements.