RAG systems and integrations that give accurate, sourced answers.
We build retrieval-augmented generation (RAG) systems that answer questions from your own data with sources you can verify, plus the data pipelines and integrations that connect your stack. The goal isn't a clever demo, it's answers your team can trust and trace back to where they came from.
Book a callFrom your data to an answer you can trust
What we build
Data, Integrations & RAG
RAG systems that retrieve from your own data and cite their sources for every answer.
Data pipelines that clean, structure and keep your knowledge current.
API and system integrations that connect the tools you already run.
Evaluation and guardrails that catch hallucinations and measure answer quality.
Search and knowledge interfaces your team will actually use.
We build retrieval systems where trust is the requirement, not an afterthought, because we've built them for finance, where a wrong answer has consequences. Every answer is traceable to a source, quality is measured rather than assumed, and the pipelines underneath are built to stay accurate as your data changes.
How we work
- 01 Map the dataWhere your knowledge lives, what shape it's in, and what "a good answer" means.
- 02 Build the retrieval layerPipelines, indexing and a RAG system tuned for accuracy and sources.
- 03 Evaluate and connectMeasure answer quality, add guardrails, and integrate it into your tools.