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Claude by Anthropic · On Amazon Bedrock

Claude, put to work across your enterprise.

Agents, document work and engineering on Claude, run in your own AWS account by the team that manages it.

Trusted by 750+ high-growth and enterprise brands

  • QiCAP.ai
  • BlueStone
  • boAt
  • Carnot
  • Chalo
  • Classplus
  • Decathlon
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  • Healthians
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  • LightMetrics
  • Loylty Rewardz
  • MedGenome
  • Meraki Labs
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  • PXIL

Why Claude

A model family built for serious work.

Claude is Anthropic's family of AI models. These are the places it tends to stand out in enterprise work.

Reads long material in depth

Contracts, policies, reports and whole codebases, analyzed end to end rather than skimmed.

Strong at code

Claude Code brings Claude into your engineering workflow, from the terminal to code review.

Built to use tools

With the Model Context Protocol (MCP), Claude connects to your systems and acts on them, within the limits you set.

Designed with safety in mind

Anthropic builds Claude with a strong focus on safety and reliability, which matters for regulated work.

Model fit

The right Claude model for each job.

Not every task needs the largest model. We match each workload to the model that balances quality, speed and cost.

Most capable

Opus

Complex reasoning, deep analysis and demanding agentic work

For example

Reviewing a full contract set against your policy

Balanced

Sonnet

Strong capability at a speed and cost suited to most production work

For example

An agent that drafts, checks and files reports

Fastest

Haiku

High-volume, low-latency tasks

For example

Classifying and routing thousands of tickets a day

Where to start

Use cases where Claude earns its place.

Contract and document review

Read, compare and summarize long documents, with answers your reviewers can trace.

Compliance and risk reviews

Check documents and processes against your rules, with every finding explained.

Agentic workflows

Agents that carry multistep work across your systems, with review points.

Customer-facing assistants

Resolve routine requests and hand over to people with the context attached.

Research and knowledge

Answers grounded in your policies, manuals and internal knowledge.

Engineering with Claude Code

Help developers build, refactor and review code, and modernize older systems faster.

For teams inFinancial servicesHealthcareLife sciencesRetailSaaS

Engineering with Claude Code

Faster engineering, older systems included.

Claude Code helps developers build, refactor and review code. We pair it with our modernization work, so legacy systems move forward too.

  • Rollout of Claude Code to your engineering teams, with guardrails agreed up front
  • Legacy code explained, refactored and modernized, alongside our Modernize practice
  • Code review and test generation built into your existing pipeline
Claude Code · legacy billing moduleIllustrative

> explain the billing module and list what blocks moving it to a service

Read 42 files. 3 blockers found:

Shared database tables with orders · Tax rules hard-coded in 6 places · No tests on invoice rounding

> write tests for invoice rounding first

18 tests added Ready for review

Governed from day one

Claude your security team can sign off.

The controls we agree with you before anything goes live.

Tools with limits

Claude only reaches the systems and actions you approve through MCP.

Data stays governed

Clear rules for what data Claude can use, where it goes and who sees it.

Every action traceable

Prompts, tool calls and decisions logged, so you can answer “why did it do that?”.

Quality you can measure

Evaluation against your own test cases before launch, monitoring after it.

Costs under control

Usage tracked per application and team, with the right model for each task.

People stay in charge

Human review wherever a decision matters, built into the workflow.

How an engagement runs

Prove it small. Then scale it properly.

  1. Discover

    A workshop to shortlist and rank use cases, and pick the right Claude model for each.

  2. Prototype

    A working prototype on your data, with real measures of quality, speed and cost.

  3. Productionize

    MCP connectors, identity, security reviews and rollout to the people who will use it.

  4. Operate and scale

    Monitoring, cost reviews and new use cases on the same foundation.

Why Comprinno

Claude, backed by a team that runs AWS.

Claude delivered on the cloud we already secure and operate for you.

Claude on AWS, by an AWS Premier partner

We deploy Claude through Amazon Bedrock in your own AWS account, on infrastructure we already know how to secure and run.

Production AI we run ourselves

Our own products run on Amazon Bedrock, so our advice on Claude comes from systems we operate, not slides.

Engineering and modernization depth

Claude Code lands best with a team that modernizes code for a living. That's our Modernize practice.

Security credentials that count

ISO 27001 certified and SOC 2 Type II attested.

Questions about working with us on Claude?

Which Claude model should we use?

It depends on the task. We test your use case on the models that fit and pick the one that balances quality, speed and cost, often mixing models within one workflow.

Can Claude connect to our systems?

Yes. Through the Model Context Protocol (MCP) we connect Claude to the tools and data you approve, and nothing else.

Can you help our engineers use Claude Code?

Yes. We help roll out Claude Code with agreed guardrails, and use it in modernization work on older systems.

How is our data handled?

We can run Claude through Amazon Bedrock in your own AWS account, with data rules agreed before anything goes live and access tied to your existing roles.

Where should we start?

Usually with a short workshop to rank use cases and pick one to prototype on your data.

Can you run the solution after launch?

Yes. Our managed services team operates it in production, with monitoring, cost reviews and new use cases on the same foundation.

Let's talk

Ready to put Claude to work?

Pick a starting point and we'll connect you with the right team.

  • A Claude use-case workshop
  • Building an AI agent
  • Claude Code for our engineers
  • Connecting Claude to our systems
  • Something else