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

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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
Vision
  • 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

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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.

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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
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Latest 1P API
model name		-claude-3-5-sonnet-20240620-
Latest AWS Bedrock
model name		-anthropic.claude-3-5-sonnet-20240620-v1:0-
Vertex AI
model name		-claude-3-5-sonnet@20240620-

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Claude 3 Family

OpusSonnetHaiku
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
model name		claude-3-opus-20240229claude-3-sonnet-20240229claude-3-haiku-20240307
Latest AWS Bedrock
model name		anthropic.claude-3-opus-20240229-v1:0anthropic.claude-3-sonnet-20240229-v1:0anthropic.claude-3-haiku-20240307-v1:0
Vertex AI
model name		claude-3-opus@20240229claude-3-sonnet@20240229claude-3-haiku@20240307

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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.

FeatureDescription
Secure
  • 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)
Trustworthy
  • 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
Capable
  • 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
Reliable
  • Very low hallucination rates
  • Accurate over long documents
Global
  • 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

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Implementing Claude

1

Scope your use case

  • Identify a problem to solve or tasks to automate with Claude.
  • Define requirements: features, performance, and cost.
2

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.
3

Prepare your data

  • Identify and clean relevant data (databases, code repos, knowledge bases) for Claude’s context.
4

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.
5

Implement Claude

  • Set up your environment, integrate Claude with your systems (APIs, databases, UIs), and define human-in-the-loop requirements.
6

Test your system

  • Conduct red teaming for potential misuse and A/B test improvements.
7

Deploy to production

  • Once your application runs smoothly end-to-end, deploy to production.
8

Monitor and improve

  • Monitor performance and effectiveness to make ongoing improvements.

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Start building with Claude

When you’re ready, start building with Claude:

QuickstartOverview