Profiling first
Unity Profiler and Memory Profiler on the target device, so fixes address the measured bottleneck rather than guesses.
Service
Unity VR performance optimization
Dropped frames make VR uncomfortable, and a standalone headset leaves little headroom. I profile Unity VR projects to find the real bottleneck — CPU, GPU, memory or loading — and fix it in your project. At IDRAK AI I optimized enterprise VR training apps to run at 90 FPS on Quest 2.
Who Unity VR optimization is for
Teams with an existing Unity VR app that doesn't hold its frame rate on Meta Quest, loads slowly or crashes on the headset — and teams moving a PC VR project to standalone Quest, where the same scene suddenly has far less headroom.
Signs your VR app needs optimization
- Frame drops or stutter when turning your head, moving or loading new areas
- Long scene load times on the headset
- Crashes or memory warnings on standalone Quest
- Imported CAD or Revit models that are too heavy for Quest
- A build that is larger than it needs to be
What I use to fix it
Fewer draw calls
GPU instancing for repeated objects such as racks, boxes and props.
Render only what's visible
Occlusion culling so dense interiors don't render what the user can't see.
Smarter loading and memory
Addressables and asset bundles to load content when it's needed instead of all at once.
Lighter imported models
Architectural and CAD scenes prepared so they run on Quest instead of only on a PC.
Smaller builds
Oversized textures and unused assets found and trimmed, so installs and loads get lighter.
Projects where performance mattered
Dense scene on VR hardware
Warehouse Management VR Simulator
A large, asset-dense warehouse scene kept performant in VR with GPU instancing and occlusion culling.
Standalone Quest
VR Plane Marshalling Trainer
Gesture recognition and real-time feedback, with rendering tuned to hold a stable 90 FPS on standalone Quest hardware.
Revit model on Quest 2
HomeDecor
A Revit architectural model brought into Unity and set up to run as an explorable interior on Oculus Quest 2.
How an optimization job runs
- 1
Profile on device
Measure frame time, memory and load times on the target headset.
- 2
Find the bottleneck
Identify whether CPU, GPU, memory or loading is the limit, and where.
- 3
Fix the biggest wins first
Change what gives the largest improvement for the least risk to your project.
- 4
Re-measure
Compare against the first profile on the same device.
How changes are tested
- Measurements are taken on the target headset with the build settings you actually ship.
- Before and after are compared on the same scenes, the same device and the same build type.
- Interactions and visuals are re-checked after each change, so a faster build doesn't break the app.
- Changes go in as reviewable commits in your repository.
What to send for a quote
- Unity version and render pipeline (URP or Built-in)
- Target headsets, and PC VR if relevant
- Where it slows down — which scenes, moments or interactions
- Repository access or a test build
- Profiler captures or frame-rate readings, if you have them
- Your deadline
VR optimization FAQ
What do you need from us to start?
Access to the Unity project (usually through Git), the target headset and the build settings you ship with.
Hourly or fixed price?
Either. Many optimization jobs start with a short profiling task, so the fixes can be scoped accurately before a larger quote.
Will optimization change how my app looks?
Some techniques are invisible (instancing, culling, loading); others trade visual detail for speed. Anything visible is agreed with you first.
Is your Unity VR app struggling on Quest?
Tell me the headset, what feels slow and how big the project is. I'll reply with next steps.