An engineering practice, not a vendor.
An independent practice building the hard part of AI — MCP servers, retrieval, and agents — for teams from startups to enterprise.
The engineering behind Atzi Labs comes from years of building and running production systems — event-driven microservices, data pipelines, and cloud infrastructure, across national retail, federal government, telecom and streaming, fleet IoT, and industrial cloud. Systems with real users, real uptime requirements, and real consequences when they break.
That’s the foundation we bring to AI — and we take on the harder parts: MCP servers that connect agents to real systems, retrieval over your own data (RAG), and AI wired into production workflows. Not a chatbot in a box. It includes current, hands-on work inside an enterprise AI incubator. We use AI where it earns its place, and say so where it doesn’t.
How we work
Hands-on from start to finish. A small number of engagements at a time, scoped tightly, handed over so your team owns the result. We’d rather tell you something isn’t worth building than sell you the build.
What we won’t do
We won’t put AI where it doesn’t earn its place, hand your project to juniors, or sell you a transformation. We do a defined piece of real work, well.