UnixonAI

Edge AI Deployment
Seamlessly deliver models to devices at scale—with intelligence at the edge.

Learn How We Deliver

AI Where It’s Needed Most

Low Latency Inference

Eliminate cloud lag. Our edge deployment pipelines deliver real-time AI responses under milliseconds—right where the data is generated.

Offline Capability

Deploy intelligence that continues operating even without internet access. Ideal for factories, farms, and remote environments.

Data Sovereignty

Data remains local—enhancing privacy, reducing bandwidth, and enabling national compliance with AI regulations.

Our Edge Deployment Stack

Model Optimization

We compress and quantize your models using TensorRT, TFLite, or ONNX, enabling deployment on low-power edge devices.

Device Packaging

We containerize AI apps for Jetson, ARM, or x86 targets—ensuring consistent behavior across hardware variations.

Fleet Management

Push updates to thousands of devices using secure OTA protocols, all while tracking model versions and performance KPIs.

Deployed in Real-World Systems

Robotics & Automation

Run perception and motion models onboard mobile robots, factory arms, or autonomous drones—no server needed.

Smart Cities

Deploy edge vision and NLP for public safety, traffic monitoring, and environmental sensing using compact devices.

Retail & Customer AI

Use edge-based recommendation systems and camera analytics to personalize experiences without sending video to the cloud.

Deploy Smart, Deploy Edge

UnixonAI helps you unlock fast, secure, and scalable AI deployments—on edge devices, across real-world environments.

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