Docmind
AI document workspace in private testing — feedback from a small user cohort before public launch.
Product preview — interface capture or walkthrough.
Docmind is in a closed testing phase: a limited set of users is using the product so we can gather feedback, improve flows and extraction quality, and harden the experience before going live.
Challenge
What we were solving
Ship an AI product that turns unstructured documents into structured, queryable intelligence — with UX that stays approachable for non-technical users — while proving the loop in real usage before a public launch.
Approach
How we tackled it
- 01
Defined product logic: input models, extraction pipelines, and output schemas
- 02
UX centred on cognitive simplicity — complexity hidden behind minimal interfaces
- 03
Scalable document pipeline with chunking, embedding, and retrieval
- 04
Prompt patterns tuned for accuracy and efficient token use
- 05
Product UI that surfaces AI confidence clearly
- 06
Private testing with a small user group: structured feedback cycles before wider release
Outcomes
Progress & current focus
Live testing build with a selected user group (not yet publicly launched)
Iterating on UX, extraction quality, and reliability from real-world feedback
Validating document coverage and task flows before opening access
Go-live planned after the testing and improvement cycle
Technology stack
Need something similar?
If your next build needs the same mix—strategy, design, engineering, security in one line—get in touch.