We build on Anthropic's Claude to read long documents, write and review code, and run agents across your business systems — with the evals, permissions and cost controls that production needs.
Illustrative demo with sample content.
Anthropic's current line-up runs from the fast Haiku to the frontier Fable. Choose a model to see what we use it for. Most products combine two or three of them.
With extended thinking, Claude works through a problem step by step before replying. It costs more time and tokens, so we switch it on only where the extra care pays off. Toggle it to compare.
Illustrative example with sample figures. We decide per task whether thinking is worth it, based on evals.
With the Claude Agent SDK and the Model Context Protocol (MCP), Claude can work across your systems: look things up, update records and finish multi-step jobs. We design the tools, permissions and checkpoints so it stays inside the lines.
Claude Code works in the terminal and IDE: it reads the codebase, plans a change, edits files, runs the tests and prepares a pull request. Our engineers use it daily and set it up for client teams with the right guardrails.
Claude is at its best with long, dense material: contracts, tenders, policies, research and codebases. With citations, every finding links back to the exact passage, so reviewers can check it in seconds.
Claude bills by tokens, so architecture decides the cost. Sending everything to the biggest model is the most expensive way to build. Here is how the levers typically stack up.
Starting point = 100. An illustrative workload, not a quote.
Pick the platform that fits your security, billing and data-residency rules. We build so you can switch later if you need to.
Direct access with the newest features first: prompt caching, batches, files, citations and tool use.
AI development →Claude inside your AWS account, with IAM, VPC endpoints and AWS billing.
AWS services →Claude on Google Cloud with your existing projects, IAM and data residency.
Google Cloud →Anthropic is a safety-focused AI company, and that shows in how Claude is trained and offered. We add the controls your compliance team will ask for.
Anthropic trains Claude against a published constitution and tests each model before release, reporting how it handles misuse.
On Anthropic's commercial API terms, your prompts and outputs are not used to train models by default.
Zero data retention is available for eligible enterprise use, and we keep our own logs minimal and masked.
Through AWS, Google Cloud or Azure, Claude can sit inside the cloud and region you already trust.
Each MCP tool gets only the permissions it needs, and actions that change data wait for approval.
Health, finance and legal projects get redaction, audit logs and human review. See healthcare and fintech.
Each one starts from a business result: hours saved, faster answers, fewer errors.
A typical path for one focused feature. Larger platforms run several in sequence.
We are model-neutral. Claude is often the right choice for documents, coding and dependable agents; where another model fits better, we say so.
| Model family | Strengths | When we choose it |
|---|---|---|
| Anthropic Claude | Long documents, careful instruction following, coding and agents | Contracts, research, coding assistants, reliable agents |
| OpenAI | Broad APIs including realtime voice and image generation | Voice agents and multimodal products |
| Google Gemini | Very long context and Google Cloud integration | Teams on Google Workspace and Cloud |
| Meta Llama | Open weights to host yourself | Strict on-premise or offline needs |
| DeepSeek | Low-cost open reasoning models | Cost-sensitive, self-hosted reasoning |
| Qwen | Open-weight, strong multilingual support | Multilingual products |
Straight answers to what clients ask us most.
Most projects start on Claude Sonnet 5.5. We route simple, high-volume steps to Haiku 4.5 and reserve Opus 5.5 or Fable 5.1 for the hardest reasoning, choosing based on evals with your own data rather than benchmarks.
Mythos is Anthropic's newest tier above Opus. Claude Mythos Preview is only available to selected organisations through Project Glasswing. Claude Fable 5.1 shares the same underlying model with extra safety measures for biology, cybersecurity and AI research, and is publicly available.
Yes. Claude can read very long contracts, reports and codebases in one request and point to the exact passage behind each answer. For whole libraries of documents we add retrieval so it reads only what is relevant.
The Model Context Protocol is an open standard, introduced by Anthropic, for connecting AI to tools and data. We build MCP servers for your CRM, database, files or internal APIs so Claude can use them safely, and the same servers work with other MCP-compatible apps.
Yes. Claude is available through Amazon Bedrock, Google Cloud Vertex AI and Microsoft Foundry as well as Anthropic's own API, so it can run inside the cloud account, region and governance you already have.
Under Anthropic's commercial API terms, your inputs and outputs are not used to train models by default. Zero data retention is available for eligible enterprise use cases, and we add redaction and access controls on our side.
Model routing (Haiku for easy work), prompt caching for repeated context, the Message Batches API for work that can wait (billed at half price), and tight output limits. We estimate cost per request before building and set spend alerts.
Tell us what you want Claude to read, write, decide or do. We reply within 4 business hours with honest advice.