Your AI chip is powerful.
Your SDK should be too.
NetsPresso is a platform that optimizes AI models for your hardware. Integrate it into your SDK to maximize edge performance.
NetsPresso is a platform that optimizes AI models for your hardware. Integrate it into your SDK to maximize edge performance.
Seamless
Integration with
Qualcomm AI Hub
Train and compress your models in NetsPresso, then compile and profile them seamlessly on Qualcomm AI Hub.
We've successfully ported hundreds of AI models across 100+ devices.
Now, it's your device's turn.
Which model would you like to optimize for your chip?
We've successfully ported hundreds of AI models across 100+ devices.
Now, it's your device's turn.
Which model would you like to optimize for your chip?
We've successfully ported hundreds of AI models across 100+ devices.
Now, it's your device's turn.
Which model would you like to optimize for your chip?
Modules designed to align
with your optimization workflow
Modules designed to align
with your optimization workflow
Modules designed to align
with your optimization workflow
Select only the features you need
— each module is decoupled and lightweight, making it easy to integrate into your existing pipeline or SDK.
Model Development
Task-specific lightweight models with high performance
Task-specific lightweight models with high performance
Task-specific lightweight models with high performance
Offers a variety of pre-trained models compatible with your target device.
Trainer
Supports customized model training using your own dataset.
Compressor
Generates lightweight models through structured pruning and filter decomposition.
Model Optimization
Maximize model performance
for your chip
Maximize model performance
for your chip
Maximize model performance
for your chip
Graph Optimizer
Optimizes model architecture by merging operations and removing unnecessary computations.
Quantizer
Reduces computation by lowering model precision (e.g., FP32 → INT8), improving execution efficiency on devices.
IR Converter
Converts models from various frameworks into IR format compatible with your SDK.
Model Testing
Quickly and accurately validate performance on real devices
Quickly and accurately validate performance on real devices
Quickly and accurately validate performance on real devices
Simulator
Assesses the impact of optimization on model accuracy.
Profiler
Analyzes model performance on your device, including inference time and memory usage, and identifies bottlenecks.
Device Farm
Provides a testing infrastructure to run and compare models across a wide range of real devices.
Code it. Click it.
Your workflow, your choice.
Whether you prefer code or clicks, choose the interface that fits your workflow — Python CLI for full control, or GUI for visual insights and ease of use.
Train models in your local environment and apply compression techniques like pruning and filter decomposition to build efficient, lightweight models.
Train models in your local environment and apply compression techniques like pruning and filter decomposition to build efficient, lightweight models.
Train models in your local environment and apply compression techniques like pruning and filter decomposition to build efficient, lightweight models.
Optimize AI model efficiency and hardware compatibility through graph optimization and mixed-precision quantization.
Convert and benchmark models to validate compatibility, speed, and memory usage directly on real devices.
Visualize, Debug, and Compare AI Models
Accelerate your optimization workflow with our high-performance graph visualizer. Instantly visualize and compare the topology changes between models across every iteration.
No Signup. Free & Instant. Start Now.
Model Diff, 4 Different Ways
Instantly view topology changes between two models side-by-side, including new or removed nodes.
Synchronized Graph Navigation
Pan and zoom both graph views simultaneously with a single input.
Custom Node Coloring
Apply custom color rules to highlight the nodes that matter most to you.
Why NetsPresso?
Ensures model–device compatibility
Automatically resolves operator mismatches and supports quantization to match target device constraints.
Enhances optimization quality
Enables flexible model framework support
Provides efficient modular SDK integration
Supports real-device validation
Offers both GUI and CLI access
Ensures model–device compatibility
Automatically resolves operator mismatches and supports quantization to match target device constraints.
Enhances optimization quality
Enables flexible model framework support
Provides efficient modular SDK integration
Supports real-device validation
Offers both GUI and CLI access
Ensures model–device compatibility
Automatically resolves operator mismatches and supports quantization to match target device constraints.
Enhances optimization quality
Enables flexible model framework support
Provides efficient modular SDK integration
Supports real-device validation
Offers both GUI and CLI access
Optimize what matters
- make it compatible, fast, and real.
© 2022-2025. Nota Inc. All rights reserved.
© 2022-2025. Nota Inc. All rights reserved.
© 2022-2025. Nota Inc. All rights reserved.
