Every backlog accumulates duplicates. Boardupscale's AI catches them the moment a new issue is typed — before it's created, before anyone starts working on it, and before your team wastes another hour on a problem that's already been solved.
Semantic AI, not keyword search. It understands what issues mean, not just what they say.
As you type an issue title, AI compares it against your entire backlog using semantic similarity — not just keyword matching — so it catches paraphrased duplicates too.
Each suggested duplicate gets a similarity score. High-confidence matches (90%+) are highlighted in red; probable matches in amber — so you can triage at a glance.
Confirmed a duplicate? Merge it into the existing issue with one click. Comments, attachments, and votes transfer automatically.
Every merge decision you make trains the model on your project's language and conventions. Detection gets sharper the more you use it.