Qeexo AutoML

Qeexo

TRIAL

Qeexo Model Converter

Qeexo Model Converter is an API service that optimizes existing tree-based
machine learning models to run on Arm Cortex-M0 to Cortex-M4 platforms.

How Qeexo
Model Converter Works

Customer brings existing
tree-based machine learning model.

Qeexo Model Converter
API reduces model size.

Output (object code) can be
easily integrated to run on MCUs.

KEY FEATURES

Patent-pending quantization technology for tree-based models

Qeexo Model Converter quantizes existing pre-built models to reduce memory consumption so they can fit onto constrained embedded devices.

Users can customize memory constraints

Need models of specific sizes? Qeexo Model Converter will generate the best-performing model under a given size.

Takes ONNX file format as input; can handle multiple tree formats

Gradient Boosting Machine (GBM), Random Forest (RF), and XGBoost (XGB) models are currently supported. New models (including neural networks) will be added in the near future.

Generates optimized object code for Cortex-M0 to Cortex-M4 platforms

Qeexo Model Converter outputs optimized object code that can readily be integrated into codebase for embedded platforms.

Qeexo Model
Converter User Guide
Try Qeexo Model Converter

First month free, then $30/month for unlimited use

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