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LLM application development
Applications built around your business logic, not around a demo.
What this actually involves
We build end-to-end LLM applications that integrate with the APIs, databases, and auth you already run. The hard part is rarely the model call. It is latency budgets, failure modes, cost per request, and what the interface does when the model is wrong.
- Prompt and context architecture, versioned in the repo
- Model selection benchmarked against your task, not a leaderboard
- Streaming interfaces with real loading and error states
- Cost and latency instrumentation from the first deploy
Ready to move from AI experiments to AI in production?
Thirty minutes with a senior engineer. We assess the use case, name the risks, and tell you honestly whether we are the right fit.