AI generation floods studios with assets. Quadify Studio governs what happens after — validation, conformance, lifecycle tracking, and team visibility, all wired into the tools your artists already use.
Meshy, Rodin, and Tripo are getting better every month. The problem is not the assets — it's what happens to them after generation.
Generated assets arrive with random names. Nothing conforms to your engine conventions. Rename everything, every time, by hand.
Hero mesh at 800K triangles. Background prop at 12K. No one enforcing budgets. Engine performance suffers before you notice.
Four artists importing assets all day. No one knows what's validated, what failed, or who touched what.
What LOD tier is that mesh? Was it baked? Which scene uses it? The answer is buried in chat or lost entirely.
Every subsystem maps to an existing Anvil product. Quadify Studio is the cloud layer that connects them.
Per-asset health score 0–100. Issues categorized as Blocker, Warning, or Info. Auto-fix operators for the most common violations.
Polycount budgets per asset tier, naming conventions, LOD policy, UV targets. One config, every artist, every tool.
Intake source, validation history, processing steps, export events. Your asset library becomes a managed, queryable database.
Seat-based roles, shared profiles, activity audit log. Who imported what, when it failed, and what they did about it.
AI generation platforms become supply chain partners. Their output flows into your lifecycle tracker instead of an unmanaged downloads folder.
QSuite in UE5, BlendUnreal and BlendUnity as feeders. Quadify is woven into daily workflow — not an optional step you skip.
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