Evaluate a compiler and runtime stack built to control model execution, memory and scheduling across supported hardware.
An independent compiler and runtime, not a hosted API. You keep the weights, the hardware and the data path.
The engine compiles your model to native code and runs it directly on the backend — no Python interpreter and no framework in the loop. What runs, and what it links against, is listed in the release manifest.
Deployment requirements →Residency, offload and peak memory are design inputs, not afterthoughts. Device and host memory are measured per model and reported with the context length they were taken at.
Memory results →Every figure we publish names its model, device, protocol, run count and date, and ships with a reproduction recipe so your team can re-run it on your own hardware.
How we measure →Each area states the problem it addresses and the capability that is actually measured — not a customer list.
Problem. Keep CPU control responsive while an AI model runs on the same device.
Capability. Model inference and control-loop scheduling measured separately for latency, fidelity and deadlines.
Explore robotics →Problem. Bring AI to a device you already ship, within its memory, power and thermal limits.
Capability. Native execution on supported edge and mobile hardware, with sustained performance reported over time.
Explore edge & mobile →Problem. Run supported models inside your own environment with an explicit dependency and data path.
Capability. Local inference with stated runtime dependencies, model residency and startup behaviour.
Explore on-premise →Problem. Keep demanding image and video generations moving under a fixed memory budget.
Capability. Image and video execution with explicit memory limits, generation settings and resume behaviour.
Explore generative media →The same four layers carry every supported deployment. VEIZIK develops each of them — the compiler, the runtime, the memory and scheduling policy, and the device-specific backend.
Technical demonstrations, not customer references: each figure is measured by veizik on named hardware and is published with its full protocol and a reproduction recipe. See every result →
A technical evaluation scoped to your workload. We do not promise a timeline, a free trial or a guaranteed figure without an operating policy behind it.
Review the technology and the evidence on your own; a conversation is not a precondition.
How the compiler, runtime and backends fit together.
Read the engineering notes →What a signed, device-bound package contains and requires.
Deployment & requirements →The notation and protocol behind every published figure.
How we measure →Tell us the hardware you run, the model you need and your latency or memory target. We use it to scope a technical discussion — no sales call required.
Discuss your deployment