Welcome
Welcome to NetsPresso Documentation
Nota has built NetsPresso to help developers create custom AI models faster and easier—especially for deployment on edge devices.
NetsPresso offers a hardware-aware AutoML workflow, model optimization, and real-device benchmarking, all in a single integrated platform.
This documentation is designed to support:
- AI/ML engineers optimizing and deploying models across hardware
- Embedded developers building for edge devices
- Product teams evaluating model performance at scale
- Anyone seeking a structured workflow for training, optimizing, testing, and deploying deep learning models
NetsPresso provides two main ways to access its capabilities:
- NetsPresso Studio (GUI): A visual interface for step-by-step workflows
- PyNetsPresso (Python SDK): A flexible script-based interface for advanced users
This guide covers both approaches, with module-level tutorials, best practices, and frequently asked questions to support your journey.
Feel free to explore and compare NetsPresso’s results with other model optimization frameworks. We’re committed to staying at the forefront of AI optimization, and we welcome your feedback!
About Nota
Founded in 2015, Nota began with a typo-preventing keyboard app for mobile devices.
While developing the app, we realized how challenging it was to optimize deep learning models for small, resource-constrained environments. That experience led us to build a platform that helps others do the same—efficiently and reliably.
Today, Nota focuses entirely on AI model optimization, supporting the global developer community through both GUI tools and SDKs.
We operate offices in South Korea, the U.S., and Germany, and partner with over 35 global leaders across industries including system integration, devices, platforms, and mobility.
Contact us
If you have any questions or comments, please contact us.
We look forward to your feedback.
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👨💻 NetsPresso Support Center: [email protected]
Updated about 1 month ago