Your organization sits on enormous amounts of unstructured data — documents, emails, support tickets, notes — but extracting value from it requires hours of human reading and synthesis. Off-the-shelf AI tools give generic answers that don't understand your business.
We integrate large language models into your products and workflows in ways that are specific to your data and context. From RAG systems that answer questions against your knowledge base to document analysis pipelines, we build AI that knows your business.
Retrieval-augmented generation systems that answer questions using your own documents and data as the source of truth.
Intelligent assistants for customers or internal teams, grounded in your content and trained on your tone.
Extract structured data, summaries, and insights from PDFs, contracts, emails, and other unstructured sources.
Production-grade prompt design with evaluation frameworks that ensure consistent, reliable outputs.
Fine-tune foundation models on your domain data for tasks where general-purpose models fall short.
Automated evals that catch regressions when models or prompts change, so quality stays consistent.
We assess your data sources, identify where LLMs add the most value, and define measurable quality targets.
We design the retrieval strategy, model selection, prompt structure, and integration points.
We build the system and run it against a test set, iterating until quality targets are met.
We deploy to production with logging and evaluation hooks so you can track performance over time.
Tell us what you're trying to build. We read every brief and respond within one business day.