Generative AI & LLM Applications

Large language models are powerful and unreliable in equal measure. The difference between a useful assistant and an embarrassing one is engineering: grounding answers in your real data, controlling what the model can and can’t say, and measuring quality continuously.

We build retrieval-augmented generation (RAG) systems, internal copilots, document-processing pipelines and customer-facing assistants. Every system ships with evaluation harnesses, guardrails and observability so you can trust what it tells your customers and staff.

What you get:

• RAG pipelines over your documents and databases

• Internal copilots and customer assistants

• Evaluation suites and hallucination guardrails

• Prompt, model and cost optimization