About Datapoch
We started Datapoch because most "AI agencies" were selling slide decks, not systems. We wanted to build the thing itself — and stay accountable to whether it actually works in production.
Our story
Datapoch is a founder-led engineering studio. It grew out of a problem that kept showing up on client work: the model that performed well in a notebook rarely survived contact with real traffic, real edge cases, and real users. Most of the hard work in AI isn't training the model — it's everything around it: the data pipeline, the monitoring, the fallback behavior when the model is wrong.
So we built a studio around that gap. Every engagement is scoped and delivered by the same engineer, end to end — no handoff between the person who sold the project and the person who has to make it work. We work across the full stack, because an AI feature is only as good as the product it's embedded in.
Today we focus on small and mid-size businesses that want practical AI: chatbots that capture leads, voice agents that answer the phone, and CRM and follow-up automation. The through-line is the same either way: build something that keeps working after we leave.
What we believe
A model that works once in a meeting isn't done. We measure success in production, not in a pitch.
Data, model, backend, frontend — one engineer accountable for all of it, not a chain of handoffs.
We build on open, current tools your own team can maintain — not proprietary black boxes.
If something won't work, we say so before you pay for it, not after.
The founder
Founder-led and hands-on — the person scoping your project is the person building it.
Builds AI chatbots, voice agents, CRM and follow-up automation, and data tools for small and mid-size businesses. Rated 5.0★ on Upwork, with clients who have hired again and referred friends and family.
Tell us what you're building — we'll reply within one business day.