LLM Integrations
Connecting large language model APIs — such as Claude — into existing products and internal tools, including tool use and retrieval-augmented generation.
What it enables
- LLM APIs connected to existing product interfaces and workflows
- Tool use / function calling so a model can take real actions, not just respond with text
- Retrieval-augmented generation to ground responses in your own data
Why it matters for your project
- AI features added to an existing product without a rebuild
- Responses grounded in your own documents where accuracy matters
- Models connected to real business systems through tool calling
LLM Integrations services
API Integration
Connecting LLM APIs into existing products, including authentication, rate-limiting and error handling considerations.
Tool Use & Agentic Workflows
Configuring models to call real business tools and systems as part of a broader workflow.
Retrieval-Augmented Generation
Grounding model responses in your own documents and data, with careful testing of edge cases.
How we work with LLM Integrations
API usage designed with rate limits, retries and cost in mind from the start
Tool-calling permissions scoped narrowly, so a model can only take the actions it's meant to
Grounding data kept current, since stale context produces confidently wrong answers
Frequently asked questions
We work with the Claude Developer Platform and similar LLM APIs, chosen based on the project's requirements.
Yes, through tool use / function calling and retrieval-augmented generation, so responses can be grounded in your own information.
Where accuracy matters, we ground responses in your own data and test edge cases carefully before launch, rather than relying on the model's general knowledge alone.
Part of our AI Technologies stack
Building something with LLM Integrations?
Tell us about the project and we'll help you figure out the right technical approach.