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Democratizing ML for embedded developers and enterprises

Democratizing ML for embedded developers and enterprises

Our online TinyML lifecycle solution transforms developers’ abilities to deploy ML for embedded devices:

Collect data:

High-quality labeled data is critical for ML analysis. We provide tools and guidance for correct data collection straight from your devices.

Build a model:

Combine signal processing, neural networks and anomaly detection to understand the real world.

Deploy and monitor:

Deploy models as part of your firmware, monitor model performance in the field, and push updates to devices when you gain more knowledge.
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User Success Engineer

Jan Jongboom

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Co-founder and CTO at Edge Impulse
Total raised

$1.4M

Funded over

1 round

Latest round

Seed (Jan 2020)