We deploy and operate your data and AI agents.
Datopian engineers embed in your team and ship inside your stack — from first diagnostic to a running system you own. Production code, not slideware.
You read our open playbooks. This is for when you'd rather we did it with you.
of enterprise GenAI pilots reach production with no measurable impact. The model isn't the problem — the deployment is.
Pilots demo.
Deployments ship.
The hard part of AI and data work isn't the prototype — it's the last mile: your data, your tools, your access controls, your infrastructure, your team's workflows. That's where most projects stall.
A Forward Deployed Engineer closes that gap from the inside. We join your team, work in your repo and your cloud, and own the path from idea to a system running in production — then hand it back.
One track. Decreasing dependency.
Every engagement runs the same four phases. We start hands-on and step back as your team takes ownership — by the end, you run it and we advise.
We bring our own stack.
Consultancies build from scratch on whatever's there. SaaS vendors hand you a tool and leave. We deploy our own engineers on our own proven, open-source stack — so we start at the last mile, not the starting line.
Shipped, not slideware.
The people who ship it.
You work directly with senior engineers who maintain the open-source stack and have put it into production.
Start with a diagnostic.
Engagements are fixed-scope and productized — you always know what you're buying. Most start with a paid diagnostic that ships a real result and scopes the rest.
A senior in-house AI hire runs $150k+/yr and takes ~6 months to recruit and ramp. A Datopian engagement costs less than that first-year package — and ships in weeks.
Scope a deployment.
A 30-minute call. Tell us where AI or data is stuck; we'll tell you whether a Forward Deployed Engineer is the right fit and what a first diagnostic would look like.