Offline Computer Vision Pipeline that Ships Rust ONNX Inference Executables for Jetson and PCs
Train anywhere (CPU/iGPU/GPU). Export ONNX. Deliver a single ZIP with target-specific Rust inference binaries for Jetson Nano/Orin, Linux, and Windows — no cloud dependency.
From Training to Jetson Deployment — Fully Offline
What Brain AI Delivers
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Offline/on-prem workflow: dataset → autolabel → train → ONNX export → deploy package.
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Rust-only inference runtime: Tract CPU backend for predictable edge execution.
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Auditable deliverables: hashes, logs, quality gates, and reproducible build artifacts.
Supported Deployment Targets
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Jetson Nano / Orin (Linux ARM64)
Rust inference executable built for aarch64 edge devices. -
Industrial PCs (Linux x86_64)
Native binary for x86_64-unknown-linux-gnu. -
Windows Workstations (x86_64)
Native binary for x86_64-pc-windows-msvc.
Built for Offline and Regulated Environments
Air-gapped deployments, sensitive data, unstable connectivity, or strict compliance: Brain AI is designed to run locally and ship deployable artifacts without relying on cloud services.
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No cloud lock-in
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Portable deliverables (ZIP)
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Deterministic audits (hashes + gates)
From Images to a Jetson-Ready Executable
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Ingest images + class names
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Auto-label with DINO + SAM
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Train and export ONNX
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Package a ZIP with Rust executables per target
Operational Proof, Not Promises
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Doctor + Smoke tests executed during packaging
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Performance checks (FPS / latency) recorded in the audit
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Quality gates prevent shipping broken builds
Deploy Vision AI Offline — Without a DevOps Project
For integrators and teams deploying to Jetson Orin and industrial PCs.
About
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