Development services
LLM integration
Connect language models to your application without coupling the whole product to one provider.
Intelligence with connected context
01 / The detail
What we can build
Connect language models to your application without coupling the whole product to one provider.
- Provider adapters
- Streaming and structured output
- Retrieval integration
- Usage limits and error handling
02 / The detail
Illustrative use case
A document assistant that extracts specified fields and returns evidence passages for verification.
03 / The detail
Decisions that matter
Different providers expose different context limits, tool behavior and retention settings. Test the actual task before choosing a model or fallback.
04 / The detail
From scope to a working release
Begin with the people, systems and decisions involved in this workflow. Agree what a useful first release must do, then validate its most uncertain dependency before expanding the build.
- A scoped workflow and explicit acceptance criteria
- A tested implementation with documented dependencies
- Deployment, recovery and maintenance responsibilities agreed before handover
Delivery, end to end
A clear path through the build.
Discover the right problem
Understand users, existing systems and constraints. Define the outcome, acceptance criteria and dependencies before committing to a delivery scope.
Design and validate
Map the workflow, prototype key interactions and test the highest-risk technical assumptions. Agree the architecture and the first useful release.
Build in useful increments
Implement working slices with code review, meaningful tests and regular demonstrations. Review access controls, failure states and operational requirements as part of delivery.
Release and keep improving
Verify deployment and recovery, document ownership and hand over operation. Use feedback and observed behavior to prioritize support and the next iteration.
Questions, answered
Before we begin.
When is LLM integration a useful fit?
Connect language models to your application without coupling the whole product to one provider. Start by comparing the required workflow with your existing systems. A document assistant that extracts specified fields and returns evidence passages for verification.
What should we resolve before implementation?
Different providers expose different context limits, tool behavior and retention settings. Test the actual task before choosing a model or fallback.
How do we begin a project?
Share the workflow, intended users, existing systems and any release constraints. Discovery establishes scope, dependencies and acceptance criteria; estimates follow that assessment rather than a fixed promise before the requirements are known.
Keep exploring
Connected capabilities.
OpenAI development & integration
Integrate model APIs into a defined application workflow with validated inputs and outputs.
Anthropic development & integration
Connect language-model capabilities to application features through a provider-specific adapter.
Meta Llama development & integration
Evaluate open-weight language models for controlled application and hosting requirements.
Start with the problem.
Build the right solution.
Bring your idea, workflow or existing application. We’ll help define a practical next step.