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Preparing the interface
Qony is fetching the latest route data and rebuilding the structured workspace view.
Fetching the latest workspace data.
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Qony is fetching the latest route data and rebuilding the structured workspace view.
Fetching the latest workspace data.
About Qony
Qony AI is built for structured problem-solving: ingest source material, map reasoning inside a six-rank DAG, and export decision-ready output.
Product principle
The product is intentionally not a freeform whiteboard. Every branch follows the same analytical ladder so teams can reason, review, and export with less ambiguity.
Qony AI turns messy case material into a structured workspace that moves from problem framing to synthesis without losing the logic in between.
The core system is a strict six-rank DAG: problem statement, sub-problem, hypothesis, framework, supporting evidence, and synthesis. That structure makes downstream review and export faster because every branch is explicit.
Product map
Each route has one job and the navigation stays predictable.
Step 01
Dashboard to review all cases
Step 02
Project detail to inspect one case
Step 03
Ingest to upload or paste context
Step 04
Canvas to edit the graph
Step 05
Export preview to review PDF-ready output
Six-rank DAG
This hierarchy is visible in ingest, canvas editing, and export generation.
Problem Statement
Sub-Problem
Hypothesis
Framework / Analysis
Supporting Data / Evidence
Synthesis