AI & GenAI Development
Most AI initiatives stall between the prototype and production. We close that gap — designing GenAI systems with evaluation, observability, and guardrails built in from day one.
- 3 wks
- to a working proof of value
- 90%+
- eval pass rates before launch
- 60%
- typical inference cost reduction
What’s included
How we deliver AI & GenAI
LLM Application Development
Custom copilots, assistants, and generation workflows built on frontier models — architected for reliability and measurable quality.
RAG & Knowledge Systems
Retrieval-augmented generation over your documents, data, and APIs — with chunking, embedding, and reranking strategies tuned to your corpus.
Model Fine-Tuning & Evaluation
Task-specific fine-tuning, prompt optimization, and automated eval harnesses so quality is measured, not guessed.
AI Integration & Modernization
Embedding intelligence into the products you already run — CRMs, ERPs, internal tools — without rebuilding from scratch.
Stack
Related work
Common questions
How do you keep our data secure when using LLMs?
We design for data minimization: sensitive fields are redacted or tokenized before reaching any model, we default to zero-retention API agreements, and we can deploy open-weight models inside your VPC when requirements demand it.
How do you measure whether the AI actually works?
Every engagement includes an evaluation harness — golden datasets, automated scoring, and regression tests — so quality is tracked as a number on a dashboard, not a feeling in a demo.
Ready to put AI & GenAI to work?
Tell us about your project — an engineer will reply within one business day with an honest read and a suggested next step.
Start the conversation