Transform Your Devices with Embedded AI Technology

Embedded AI

Our embedded AI solutions develop custom machine learning models optimized for deployment on edge devices to power autonomous functionality.

On-Device Training

Our algorithms allow ML models to be trained directly on operational data localized to the edge, avoiding cloud dependencies.

Embedded Inference

Models are compressed and specialized to efficiently run inferences with low latency on constrained edge hardware environments.

Federated Learning

A distributed learning approach allows updating of edge ML models while keeping training data localized for privacy.

Edge Software Development

We provide SDKs and tools to simplify developing, deploying, managing and updating ML applications on diverse embedded systems.

Case study 1

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What Are the Advantages You Should Expect?

Efficiency

Automation reduces human workloads and speeds synchronized fleetwide functions.

Safety

Embedded perception allows split-second reactions important for industrial controls.

Uptime

Edge intelligence maintains critical IOT functionality without cloud reliance.

Mobility

Embedded ML powers portable intelligent devices with minimal connectivity.

Embedded AI

Our embedded AI solutions develop custom machine learning models optimized for deployment on edge devices to power autonomous functionality.

Case study 1

Go to Use Case Title

What Are the Advantages You Should Expect?

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