Embedded ML development offerings

Running ML algorithms needs a thorough study of underlying problems, in-depth understanding of the model and ability to run it on embedded systems

We offer to develop embedded machine learning systems with experience in running them on Renesas, Xilinx, TI and Nvidia edge computing platforms


Our embedded machine learning services

Data Annotation and learning

Perform pre-processing on data, annotate them using manual easy-to-use tools, train the models, validate them on offline/cloud or online models

Custom Models and neural networks

Not all data are the same with each of them requiring different treatment. Our experts build one or tune existing models to meet the needs exactly

Retraining and Upgrades

With continuous learning, our implementation can extract anomalies, perform re-training, and update models without affecting the real-time performance

Looking to run embedded machine learning algorithms on edge computing platforms?
Leverage our Embedded ML development team's business and technology expertise

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