Embedding intelligence
in every device, everywhere.
Make your winning AI model lightweight, hassle-free.
Accelerated by
Solution built by world-class team
min
75%
smaller
model size
up to
40x
faster
inference speed
up to
80%
savings on
inference cost
Fed up with hard-to-use AI
compression tools?
We've tried them all.
Nothing worked, which is why we built our own, from scratch.
Experience a toolkit
that just works.
Import your PyTorch model and let our
compression engine do the hard work!
Streamline the compression process
and focus on your SOTA AI model
Coming soon
A graph editor to visualize and seamlessly pre- and post-process any AI model
Coming soon
Explore a library of our zero-compromise compressed AI models
We've got you covered.
We are continually adding new layers and operations
to keep you up-to-date.
Model support
Vision - CNNVision - ViTAudioLanguageMulti Modal
Frameworks support
TensorRTONNXRuntimeTFLiteOpenVINOCoreML
Full support
Partial support
Coming soon
Check the full list of supported layers/operations
here.
Need support for a special layer?
Let us know what you need!
What you see
is what you get.
We don’t cherry-pick our results for marketing’s sake.
These are our SDK’s results with the default settings, no fine-tuning.
Post-compression accuracy retention comparison:
Model Type | Object Detection | Classification | Super Resolution | Transformer | ||
---|---|---|---|---|---|---|
Model Name | YoloV7 | RetinaFace-ResNet50 | ResNet18 | MobilenetV3Large | IMDN | ViTB16 |
ORIGINALComparison Point | 0.68 | 0.55 | 69.7 | 75.3 | 27.9 | 81.1 |
CLIKA | No Loss | No Loss | No Loss | -0.6 | -0.1 | -0.5 |
IntelNNCF | No Loss | -0.01 | -0.5 | -4.9 | -1.9 | -6.4 |
MetaPyTorch | -0.04 | -0.01 | -0.7 | -2.0 | -0.3 | FAILED |
NvidiaTensorRT | -0.28 | -0.01 | -0.6 | FAILED | -9.0 | N/A |
TFLite | N/A | N/A | FAILED | FAILED | N/A | N/A |
Ultimate inference
optimization.
Don’t compromise on anything.
Achieve both superior performance and cost benefits.
Enhance Your UX
Deliver your AI models to more users
from more applications.
Discover new markets with on-device AI
Better engage users with faster AI speed
Save on operation costs
Make your AI projects profitable with
inference cost optimization.
Optimize hardware investment
Reduce inference cost on cloud