Orixo helps engineering teams design, ship, and operate reliable AI products — from LLM-powered features to autonomous agents and the infrastructure that runs them.
Four practice areas where deep engineering work — not slideware — moves the needle for our clients.
Bring large language models into your product with the right prompt architecture, evaluation harness, and fine-tuning strategy. We treat model behavior as a first-class engineering concern — measurable, reproducible, observable.
Design autonomous agents that take real action — research, draft, decide, and integrate with internal tools. We focus on the unglamorous parts: tool design, guardrails, retries, and human-in-the-loop checkpoints.
Turn your internal documents, tickets, and code into a retrieval layer your team and your AI features can actually trust. Hybrid retrieval, evaluation pipelines, and grounded answers — built to scale.
From inference cost optimization to observability and CI for prompts and models. We help teams move from notebook prototypes to systems that survive production traffic and team turnover.
Each engagement runs through three short, well-defined phases — designed to de-risk the work and keep iteration loops tight.
We start by mapping the problem, the data, and the constraints — technical, regulatory, and commercial. The output is a written brief: what to build, what not to build, and how success will be measured.
A working architecture and a small, evaluable prototype. We pick models, frameworks, and infra against the constraints from phase one — and surface trade-offs in plain language for stakeholders.
Production-grade implementation, observability, and handover. We ship code your team owns, alongside the eval suites and runbooks needed to keep the system healthy after we leave.
Orixo is a Wyoming-based boutique consultancy founded by a software engineer specialized in artificial intelligence. We operate internationally and work with a small number of clients at a time — typically engineering-led organizations that want senior help shipping AI features without growing headcount.
Our work is deliberately narrow: production engineering around LLMs, agents, retrieval systems, and the infrastructure beneath them. We don't run marketing campaigns, we don't sell strategy decks, and we don't take on projects we can't ship.
We are pragmatic about tooling — these are the technologies we reach for most often when building production AI systems.
Tell us about your project. We typically reply within two business days.