Agentic Workflows
We design and build AI agent pipelines that handle real work. Not demos. Production systems that run without you babysitting them.
Explore this service →Non-Convex Labs designs and deploys agentic systems, trains your team to use them well, and fixes the engineering problems that get in the way.
Let's talkWe design and build AI agent pipelines that handle real work. Not demos. Production systems that run without you babysitting them.
Explore this service →Hands-on training for teams adopting AI tools and agentic workflows. We skip the hype and focus on what actually works in practice.
Explore this service →Got a system that's broken, slow, or held together with duct tape? We find the problem and fix it — or build what you need from scratch.
Explore this service →I fed nine years of my writing into a 25-dimension analysis pipeline. It handed back a spec sheet for my voice. With tolerances.
Most knowledge bases serve one audience. Ours serves two through the same data: a web UI for humans and an MCP server for Claude Code. Same wikilinks, same search, same schema. Two interfaces, one system.
A working AI pipeline was silently failing on 16% of documents, fabricating identifiers for 13% of records, and spending full extraction costs every run even when nothing had changed. Here's what the redesign looked like.
If you know what you need, let's get into it — and if you don't, we can help figure that out too.
Get in touch