Embedded AI
Our embedded AI solutions develop custom machine learning models optimized for deployment on edge devices to power autonomous functionality.
01
On-Device Training
Our algorithms allow ML models to be trained directly on operational data localized to the edge, avoiding cloud dependencies.
02
Embedded Inference
Models are compressed and specialized to efficiently run inferences with low latency on constrained edge hardware environments.
03
Federated Learning
A distributed learning approach allows updating of edge ML models while keeping training data localized for privacy.
03
Edge Software Development
We provide SDKs and tools to simplify developing, deploying, managing and updating ML applications on diverse embedded systems.

banking case 1

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Case study 1

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