A boutique AI engineering studio for high-stakes domains — financial services first. We build generative AI systems, knowledge graphs, and agentic workflows with the polish of luxury hospitality — because how software feels is part of whether it works.
Most AI consultancies sell headcount. We sell craft — senior, principal-level work on every engagement, from the retrieval architecture to the last pixel of the interface.
O&A pairs a decade of production AI engineering — GraphRAG platforms for one of the world's largest asset managers, fraud analytics for major financial institutions, agentic research systems — with a service philosophy drawn from luxury hospitality: anticipate, refine, and never ship anything you wouldn't sign.
We stay small on purpose. You work directly with the principal engineer, not a bench.
Knowledge graph pipelines, hybrid vector + graph retrieval, and citation-backed reasoning over your hardest data.
Multi-agent workflows with validator agents that fact-check every claim before a human ever sees it.
Evidence-backed, contract-driven evaluation that answers the question every agent project faces: can we ship this?
Frontend craft from a team that believes an AI system is only as trustworthy as it is understandable.
An AI-guided scripture study companion, built on a knowledge graph of the biblical text. Aurum doesn't just answer — it traverses centuries of interconnected people, places, and passages, and shows its sources every step of the way.
The definition of done your agent project is missing. Stakeholders co-author a task contract; the evaluator collects quoted evidence — never black-box grades — and the report states exactly what the agent is approved for, and what it isn't.
A multi-agent platform that takes a feature from written requirement to reviewed, tested, integration-ready code — automating a whole chain of dev and product responsibilities, with human-in-the-loop gates at every decision that matters.
How to build with AI coding tools — Claude Code, Copilot, Codex — without inheriting their chaos. Sixteen classic engineering guardrails, from strict types and OpenAPI contracts to security scans and automated publishing, enforced automatically against the agent's workflow. Proven daily in production on Aurum.
The field has produced many failure-attribution methods — and almost no measurement science. Our attribution-audit study asks the questions nobody has checked:
Ongoing work on automated knowledge-graph construction: pipelines that turn hundreds of thousands of documents into semantically connected, queryable graphs.
Financial services is home turf: GraphRAG research platforms for one of the world's largest asset managers, fraud and AML analytics for major financial institutions, and agentic reporting systems built to survive risk and compliance review. We bring the same rigor to federal primes as a specialized subcontractor — generative AI, knowledge graph engineering, and agent trust evaluation for the AI-governance questions agencies are now required to answer. Capability statement available on request.