Releasing Quadify Ultra today, and wanted to share it here since this community has always been where serious topology conversation happens.

Quadify Ultra is a retopology addon for Blender 5.0 with an ML routing engine. You select a mesh, hit Ctrl+Shift+Q, and it figures out which of 5 algorithms is right for that specific mesh — then runs it.
The routing is the main thing. Most retopology tools give you one method and expect you to know when to use it. Ultra analyses 18 geometric features of your mesh and picks the right approach before you commit.
Smart — edge flip and greedy quad matching. Never moves vertices, never changes your silhouette. This is the right choice for open curved panels where you need to preserve what's already good. Car doors, fenders, and hard surface panels. Gets 88–97% quads on typical vehicle bodywork.
Hard Edge Preserving — detects sharp feature edges first, marks them as boundaries, then constrains quad generation within those boundaries. For CAD imports and boolean results, where edge definition is the whole point.
Dissolve + Requadify — dissolves coplanar edges to recover the underlying panel topology, then requadifies for flat CAD surfaces that come in as dense n-gon triangulation. Often gets you back to clean panels in one pass.
QuadriFlow + Transfer — field-guided remesh using Blender's built-in QuadriFlow, then transfers UVs and vertex weights back from the original mesh, for flat closed panels, windshields, and hoods. Needs a target face count but the engine sets it automatically.
Voxel Remesh + Transfer — voxel rebuild via REMESH modifier (not the voxel_remesh operator which freezes Blender), then data transfer. For organic meshes, scans, broken topology, anything where the existing mesh structure is too damaged to work with. The burger result in the screenshots used this — 39,190 tris to 100% quads.
Before every operation the panel shows:
Smart (default) — ~89% quads expected 70% confident Already 86% quads — flip pass will clean up remaining 14% tris
70% confident means 3–4 of the 5 nearest neighbours in the experience DB agree on Smart mode for this mesh type. If it says 40% confident that's a signal to look at the alternatives listed below.
The alternatives panel shows the other algorithms with their expected quad coverage so you can override if you disagree. The engine is a recommendation, not a lock.
These are real numbers, not cherry-picked:
Vehicle body panels:
Batch processing (3 panels selected, one click):
Organic:
After processing the results panel gives you:
There's an opt-in telemetry system. When enabled it sends 18 anonymous geometry ratios and the algorithm result to a shared database. No mesh geometry. No vertex positions. No filenames.
In Settings → Community ML Model → Check for Updates pulls the aggregated data from all opted-in users and merges it into your local experience DB. The KNN immediately benefits from every operation in the database.
Currently ~160+ operations from early testers. This number will grow as more people use it.
Off by default. Completely opt-in.
Being straight about limitations:
Superhive: https://superhivemarket.com/products/quadify
$200 one-time purchase, no subscription. Blender 5.0+. MIT licensed.
The other tiers are on the same listing if Ultra is more than you need:
Posting some before/after renders over the next few days. Happy to answer questions about the routing logic or algorithm selection — the topology conversation here is always worth having.
Asset credit: Car mesh © 2017 Khronos Group. CC BY 4.0 — https://creativecommons.org/licenses/by/4.0/
Replies
Also, the car mesh is provided with a CCBY license, which requires attribution when it is used. You should provide the copyright notice near any image that uses it: