About us
EuclideanAI is a boutique, senior team. We exist for one reason: to close the gap between an AI demo and a system a business can actually depend on
Why we started
We kept seeing the same thing: an impressive AI demo works in a sandbox, but stalls when trying to survive real data and real users. That gap is where most AI projects quietly die.
We started EuclideanAI to handle the heavy lifting required to get models safely into production. But we don't just build the engineering; we help you navigate the entire journey. We run hands-on workshops to onboard your team to agentic tools, and actively shape your long-term AI roadmap.
How we help
We rethink how work gets done — onboarding your team to agentic tools and shaping a long-term AI roadmap you can act on.
An honest read on where an off-the-shelf tool wins and where a custom system pays off, so you invest engineering only where it counts.
The unglamorous engineering that gets models safely into production — pipelines, evaluation, monitoring, and a clean handover to your team.
Who we are
The people who do the work are the people you talk to. Each of us has shipped production systems for years before this — here's who you'd be working with.
Sheldon is a principal AI engineer with over a decade shipping production AI, ML, and automation across financial services, consulting, telco, and startups. He started EuclideanAI to turn AI hypes to a production system a company can rely on, leading engagements end to end from the first messy problem to the handover.
Joe is a principal data engineer and data architect who builds the AI foundations. A seasoned technical founder, he has deep experience across data engineering — shipping data platforms on Kubernetes and the major clouds, and taking a legal AI product all the way to production.
Wayne owns the path to production. With two decades in the field and a PhD in AI and advanced control systems, he's been a director of platform engineering and built on AWS at scale. He handles deployment, security, and the end-to-end automation that lets what we build run reliably.
Bring the fuzzy problem. We'll tell you honestly whether it's a fit and where we'd start.
EuclideanAI