LLM products that hold up under adversarial users and audit.
What this actually involves
Getting a language model to do something impressive once is a weekend. Getting it to do the same thing a million times, within budget, without embarrassing you, is the engineering problem we solve.
Every system we ship comes with an evaluation harness, a cost model, a fallback path and a documented failure mode. If a model is the wrong answer to your problem, we will say so before you fund it.
Application architecture
Orchestration, caching, streaming, fallbacks and graceful degradation.
Evaluation harnesses
Task-specific test sets with regression gates on every merge.
Guardrails & safety
Input filtering, output validation, refusal handling, human escalation.
Cost engineering
Model routing, prompt caching and batching, with the cost per request measured before and after so the saving is a number you can check.
What lands in your repository
Every engagement ends with artefacts your team owns — not a slide deck describing artefacts your team could have owned.
- Production LLM application
- Evaluation suite with baseline scores
- Cost-per-request dashboard
- Model and prompt change-management process
A short conversation with an engineer, not a sales qualification call. If we're the wrong people for it, we'll say so and point you somewhere better.