Maximize
your device's potential
with NetsPresso

With layer-wise analysis and automated quantization, we optimize AI models for your hardware -making them lighter, faster, and more accurate.

High-Performance Quantization

Model Compression without Accuracy Loss

Converts high-precision AI models (e.g., FP32) into lightweight, low-bit (e.g., INT8) models
Supports Mixed Precision Quantization to achieve an optimal balance between accuracy and speed

Analysis-Based Optimization

Enables the Best Quantization Strategy

Provides layer-wise latency and sensitivity analysis with visualization
Identifies bottleneck layers and suggests the most effective model compression methods

Hardware aware Optimization

Enhanced Compatibility with Target Devices

Supports Intermediate Representation(IR) conversion for seamless backend compiler integration
Applies Graph Optimization to maximize hardware acceleration performance

Workflow

Bring your own model

Upload your ONNX model

Step 1

Select the target device

Step 2

Profile the model for performance insights

Step 3

Choose layers for quantization

Optimized AI model