Hardware-aware
AI Model Optimization Platform
NetsPresso Powers On-device AI
Across Industries
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Runs on 30+ edge devices
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Compression Improvement
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Efficiency Improvement
Features
Pruning, Quantization, and Graph Optimization
The Ultimate Platform
for Hardware-aware AI Model Development
A User-Friendly Tool
for Seamless AI Optimization
Python Package and
Intuitive GUI
Modular Components for Customizable Pipelines
Available on Both Cloud and On-Premise
Unlock Greater Potential
with Generative AI on the Edge
Shortened LLMs
Lightweight models of LLaMA and Vicuna enable efficient text generation. This approach helps to optimize AI performance on edge devices.
Compressed Text-to-Image Synthesis Model
BK-SDM is a lightweight version of Stable Diffusion Models (SDMs), which are a type of Text-to-Image (T2I) synthesis models optimized for efficient deployment.
Real-Time VLM Inference
VLMs combine visual data (like images or video) with natural language understanding to provide meaningful insights and actionable responses.
Lighter,
yet just as powerful
85% ▼
Model Size
97.5% ▼
Latency
±1%
Accuracy Difference
Minimized costs, greater efficiency
Reduced Server Costs
75% ▼
Deployment Efficiency
20x ▲
Support Range of 30+ Devices
Use Cases
Business Impact
