OVERVIEW
The brief
Stackform wanted to launch an AI-powered document-intelligence tool for operations teams drowning in unstructured paperwork. The risk wasn't the UI — it was building AI that actually worked reliably enough to charge for, rather than a demo that fell over on real data.
THE CHALLENGE
What made this hard
Stackform wanted to launch an AI-powered document-intelligence tool for operations teams drowning in unstructured paperwork. The risk wasn't the UI — it was building AI that actually worked reliably enough to charge for, rather than a demo that fell over on real data.
OUR APPROACH
How we tackled it
We started with the AI feasibility question honestly: we benchmarked model approaches against real client documents before writing a line of the product. We shipped a retrieval and classification pipeline with an evaluation harness, so quality was measurable rather than vibes-based. The product UI was the easy part, built last on top of a pipeline we trusted.
WHAT WE BUILT
The product
Dashboard — main view
Onboarding flow
Core feature — detail
Mobile experience
TECH STACK
RESULTS
What happened next
- $8,000 MRR within four months of launch
- 70% reduction in manual document triage for customers
- Classification accuracy of 94% on real production data
- Median inference latency under 800ms
- Signed three enterprise pilots in the first quarter
CLIENT VOICE
“We needed AI features that did real work, not a chatbot bolted on for the demo. Galaxen shipped a classification pipeline that cut our manual triage by 70% and held up under real load from day one.”
MORE WORK
Related case studies
Fundstack
Fundstack had a validated thesis — an embedded finance tool for SMBs — and a seed round closing in twelve weeks, but no product. The previous agency had burned three months producing a prototype that investors found unconvincing. They needed a real, demonstrable MVP fast enough to carry into due diligence.
Healthpath
Healthpath wanted to launch a patient-facing health companion app in a regulated market where trust and accessibility make or break adoption. They had clinical expertise but no engineering team, and a hard launch date tied to a partnership announcement.
Building something similar? Let's talk.
Free 30-min discovery call. We'll tell you honestly if we're the right fit — and what it would take.