AI runs in your browser.
We run it on the GPU.

FrameSyncOS is the operating layer for GPU-native AI media — real-time inference, synthetic visuals, and interactive experiences running entirely client-side. No servers. No API calls. Just the machine you're already using.

WebGPU
0 ms server roundtrip
100 % client-side
∞ privacy surface

What the stack enables

Real-time AI inference
Compute shaders execute matrix operations on the GPU — the same silicon that renders your framebuffer handles attention layers, projections, and feed-forward networks. No CPU serialization. No HTTP hop.
Synthetic visual generation
Render fully procedural environments in WebGPU — not pre-baked textures but dynamic scenes driven by model outputs. AI decisions manifest as geometry, lighting, and motion in the same frame.
Sub-millisecond feedback
No network latency means AI interactions happen in the same tick as your rendering. Autoregressive models can run streaming inference while the compositor paints — visual and cognitive latency collapse into one.
Zero trust infrastructure
User data never leaves the device. Model weights ship with the application or load once from a CDN. The operating model is: your machine, your GPU, your inference, your data.
"The web missed an entire generation of computing because JavaScript didn't have a real compute interface. WebGPU fixes that. Now the browser has access to the most parallel, most capable processor in the machine — and it only took a decade to standardize."

— FrameSyncOS Thesis

The primitives

runtime
WebGPU
WGSL compute shaders, GPU buffers, async pipelines
inference
ONNX + Transformers.js
Quantized LLM running on GPU compute pass
render
WebGPU raster + ray queries
Procedural scene driven by model output
deliver
Standard Web
Any browser, any OS, no install

GPU-native AI media is not a future state.
It's now, and it's in your browser.

FrameSyncOS is building the operating layer that makes it accessible — the primitives, the tooling, and the product surfaces that turn WebGPU compute into real applications.