This guide introduces Claude’s enterprise capabilities, the end-to-end flow for developing with Claude, and how to start building.

What you can do with Claude

Claude is designed to empower enterprises at scale with strong performance across benchmark evaluations for reasoning, math, coding, and fluency in English and non-English languages.

Here’s a non-exhaustive list of Claude’s capabilities and common uses.

CapabilityEnables you to…
Text and code generation
  • Adhere to brand voice for excellent customer-facing experiences such as copywriting and chatbots
  • Create production-level code and operate (in-line code generation, debugging, and conversational querying) within complex codebases
  • Build automatic translation features between languages
  • Conduct complex financial forecasts
  • Support legal use cases that require high-quality technical analysis, long context windows for processing detailed documents, and fast outputs
  • Process and analyze visual input, such as extracting insights from charts and graphs
  • Generate code from images with code snippets or templates based on diagrams
  • Describe an image for a user with low vision
Tool use
  • Interact with external client-side tools and functions, allowing Claude to reason, plan, and execute actions by generating structured outputs through API calls

Model options

Enterprise use cases often mean complex needs and edge cases. Anthropic offers a range of models across the Claude 3 and Claude 3.5 families to allow you to choose the right balance of intelligence, speed, and cost.

Claude 3.5 Family

Claude 3.5 OpusClaude 3.5 SonnetClaude 3.5 Haiku
DescriptionComing soon…Most intelligent model, combining top-tier performance with improved speed. Currently the only model in the Claude 3.5 family.Coming soon…
Example uses-
  • Advanced research and analysis
  • Complex problem-solving
  • Sophisticated language understanding and generation
  • High-level strategic planning
Latest 1P API
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Latest AWS Bedrock
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Vertex AI
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Claude 3 Family

DescriptionStrong performance on highly complex tasks, such as math and coding.Balances intelligence and speed for high-throughput tasks.Near-instant responsiveness that can mimic human interactions.
Example uses
  • Task automation across APIs and databases, and powerful coding tasks
  • R&D, brainstorming and hypothesis generation, and drug discovery
  • Strategy, advanced analysis of charts and graphs, financials and market trends, and forecasting
  • Data processing over vast amounts of knowledge
  • Sales forecasting and targeted marketing
  • Code generation and quality control
  • Live support chat
  • Translations
  • Content moderation
  • Extracting knowledge from unstructured data
Latest 1P API
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Latest AWS Bedrock
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Vertex AI
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Enterprise considerations

Along with an extensive set of features, tools, and capabilities, Claude is also built to be secure, trustworthy, and scalable for wide-reaching enterprise needs.

  • Enterprise-grade security and data handling for API
  • SOC II Type 2 certified, HIPAA compliance options for API
  • Accessible through AWS (GA) and GCP (in private preview)
  • Resistant to jailbreaks and misuse. We continuously monitor prompts and outputs for harmful, malicious use cases that violate our AUP.
  • Copyright indemnity protections for paid commercial services
  • Uniquely positioned to serve high trust industries that process large volumes of sensitive user data
  • 200K token context window for expanded use cases, with future support for 1M
  • Tool use, also known as function calling, which allows seamless integration of Claude into specialized applications and custom workflows
  • Multimodal input capabilities with text output, allowing you to upload images (such as tables, graphs, and photos) along with text prompts for richer context and complex use cases
  • Developer Console with Workbench and prompt generation tool for easier, more powerful prompting and experimentation
  • SDKs and APIs to expedite and enhance development
  • Very low hallucination rates
  • Accurate over long documents
  • Great for coding tasks and fluency in English and non-English languages like Spanish and Japanese
  • Enables use cases like translation services and broader global utility
Cost conscious
  • Family of models balances cost, performance, and intelligence

Implementing Claude


Scope your use case

  • Identify a problem to solve or tasks to automate with Claude.
  • Define requirements: features, performance, and cost.

Design your integration

  • Select Claude’s capabilities (e.g., vision, tool use) and models (Opus, Sonnet, Haiku) based on needs.
  • Choose a deployment method, such as the Anthropic API, AWS Bedrock, or Vertex AI.

Prepare your data

  • Identify and clean relevant data (databases, code repos, knowledge bases) for Claude’s context.

Develop your prompts

  • Use Workbench to create evals, draft prompts, and iteratively refine based on test results.
  • Deploy polished prompts and monitor real-world performance for further refinement.

Implement Claude

  • Set up your environment, integrate Claude with your systems (APIs, databases, UIs), and define human-in-the-loop requirements.

Test your system

  • Conduct red teaming for potential misuse and A/B test improvements.

Deploy to production

  • Once your application runs smoothly end-to-end, deploy to production.

Monitor and improve

  • Monitor performance and effectiveness to make ongoing improvements.

Start building with Claude

When you’re ready, start building with Claude: