Member, Anthropic Claude Partner Network
Anthropic

Claude

Frontier reasoning with a 1M-token context window and enterprise-grade safety.

Best forTeams automating long, multi-step work over documents and systems, where being right matters more than being quick.

Claude is Anthropic's flagship AI model family, purpose-built for enterprise use. With a 1M-token context window (Claude Opus 4.7), adaptive thinking, high-resolution vision, and safety-by-design, Claude is our go-to model for complex, multi-step agentic workflows where precision and reliability are non-negotiable.

1M
Token context window (Opus 4.7)
87.6%
SWE-bench Verified score
3.75 MP
High-res vision input
In your stack

What Claude does in the tools you already own

Your document store
Point Claude at a set of contracts, policies or claim files and it reads the whole set in one pass rather than in chunks, so an answer can reference clause 14 of one document and an exception buried in another. This is the difference between a search tool and something that can actually reason over a file set.
Excel and CSV exports
Claude does not sit inside Excel the way Copilot does. What it does well is take the export, reconcile it against another system, explain the variances in words, and hand back a cleaned file. Useful for the month-end reconciliation nobody has automated because the rules keep changing.
Microsoft 365 Copilot Cowork
If you are already on Microsoft, you may be using Claude without having chosen it. Anthropic models power Copilot Cowork for long-horizon agentic tasks alongside OpenAI models for conversational work. Worth knowing when you are comparing the two: this is not always an either-or decision.
Slack and email
Triage, classification and drafted replies against your own policies rather than generic templates. The value is in the routing rules being explainable, so the compliance team can review why something was escalated.
Your codebase
Claude Code handles review, documentation and migrations across large repositories. We use it on our own delivery work, which is a more honest recommendation than a vendor benchmark.
Why Claude

What makes Claude stand out

1M-Token Context Window

Process entire codebases, multi-day agent trajectories, or large document sets in a single call. Opus 4.7 delivers the full 1M-token context window at standard API pricing, with no long-context premium — enabling consistent reasoning across large, complex inputs.

Agentic Task Execution

Claude excels at long-horizon, multi-step reasoning and autonomous task completion. Opus 4.7 introduces task budgets and an xhigh effort level, letting agents plan, act, and self-verify over hours-long workflows — and it's the model powering Microsoft 365 Copilot Cowork.

Safety & Reliability

Anthropic's Constitutional AI training produces a model that hallucinates less, declines harmful requests gracefully, and behaves predictably in production. Opus 4.7 shipped with Anthropic's most extensive red-teaming process to date, including prompt-injection resistance and multi-step jailbreak testing.

High-Resolution Multimodal Reasoning

Opus 4.7 is the first Claude model with high-resolution image support — up to 2,576px / 3.75MP. This unlocks reliable performance on charts, dense documents, screenshots, and computer-use workflows where fine detail matters.

Use Cases

What we build with Claude

Legal & Finance

Document Intelligence

Ingest and analyse full contracts, filings, and policy sets in a single 1M-token pass — extracting key terms, summarising, and answering specific questions with citations anchored to source pages.

Strategy

Autonomous Research Agents

Deploy Claude-powered agents that plan, gather, synthesise, and self-verify competitive intelligence, market analysis, or regulatory research across long sessions without losing context.

Engineering

Code Generation & Review

Automate code review, documentation, and refactoring across large multi-file codebases — embedded into your engineering workflows via the Claude API or Claude Code.

Customer Operations

Customer Service Automation

Build nuanced, context-aware support agents that handle complex queries, escalate appropriately, and maintain brand tone consistently across long multi-turn conversations.

Head to head

Claude vs Microsoft Copilot

 ClaudeMicrosoft Copilot
Where it livesAlongside your stack, via the API, Cowork or Claude CodeInside Word, Excel, Outlook, Teams and SharePoint
Best fitLong multi-step reasoning over documents, systems and codeDay-to-day assistance for people already in Microsoft 365
Licence shapePer-seat plus API consumptionPer-user add-on, annual commitment
Data residencyRegion depends on deployment: direct, Amazon Bedrock or Google Vertex AIYour Microsoft 365 tenant region
The deciding questionIs the work a process, or is it a document?Is the work a process, or is it a document?
Before you commit

What it costs, and where your data sits

How it licences

Pricing model
Two separate lines. Seats for the Claude apps and Cowork, priced per user per month. Consumption for anything you build on the API, priced per million tokens of input and output.
Commitment
Seats are monthly or annual. API usage is pay-as-you-go, with no commitment required to start.
What this means in rand
The consumption line is the one that surprises people, in both directions. A well-scoped agent can cost less per month than a single seat, while an unbounded one can run up a bill overnight. We size it against your actual volumes and put spend caps in before anything goes to production.

POPIA and data residency

Where it processes

Depends on deployment. Region is selectable through Amazon Bedrock or Google Vertex AI

Being straight about this: a South African region is not guaranteed for every model, and pretending otherwise helps nobody. POPIA section 72 does not require local processing. It requires that the destination offers comparable protection, or that you have consent or contractual cover, and that is a solvable problem rather than a blocker. In practice we do three things. We deploy through Bedrock or Vertex AI so the processing region is an explicit choice and confirm which models are actually available there. We turn on zero-retention handling so prompts are not kept for training. And we minimise what leaves the building in the first place, because the cheapest way to comply is to send a reference and a redacted extract instead of the whole customer record. Confirm the current regional availability at design time rather than trusting a page like this one.

Our track record

Why take our word for it

Member of the Claude Partner Network

Anthropic accredits partners who build production systems on Claude, not resellers. It is the one claim on this page a competitor cannot copy by rewriting their homepage.

50+ projects delivered from Cape Town

Across fintech, banking, travel, renewable energy and food retail. We stay model-agnostic, so if your work belongs on Gemini or inside Copilot, that is what we will tell you.

FAQ

Claude questions

We also work with

Ready to put Claude to work?

We'll help you identify where Claude can create the most impact — and build it the right way, the first time.