Generative AI & LLM Product Development
From idea to production: we design and build AI-native products powered by large language models.
We build production-grade products on top of LLMs — copilots, chat interfaces, document intelligence, retrieval-augmented generation (RAG) systems, and custom fine-tuned models. Not demos; systems that hold up under real traffic, real edge cases, and real cost constraints.
How we work
Design the product and prompt/retrieval architecture → Build with evaluation harnesses from day one → Harden against hallucination, latency, and cost → Ship with monitoring and continuous improvement.
Benefits & deliverables
- ✓ RAG pipelines grounded in your own data
- ✓ Prompt and model evaluation baked into the build, not bolted on after
- ✓ Cost and latency engineered for production traffic
- ✓ Human-in-the-loop review flows where accuracy is critical
Technology we use
Frequently asked questions
We ground responses in your own documents via RAG and add evaluation/guardrail layers so answers are traceable and testable — hallucination risk is managed, not ignored.
Yes, most engagements integrate AI features into an existing product rather than starting from scratch.