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

PROBLEM

Fed up with hard-to-use AI
compression tools?

Poor compression results

Model compilation errors with no clear feedback

Buggy frameworks with poor or non-existing support

We've tried them all.
Nothing worked, which is why we built our own, from scratch.​

SOLUTION

Experience a toolkit
that just works.

Import your PyTorch model and let our
compression engine do the hard work!

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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
vega image
Coming soon
Explore a library of our zero-compromise compressed AI models
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COVERAGE

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!

PERFORMANCE

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
ORIGINAL
Comparison Point
53.2
54.7
69.7
54.7
27.9
81.07
CLIKA
No Loss
No Loss
No Loss
-0.6
-0.1
-0.4
Intel
NNCF
No Loss
-1.25
-0.5
-1.25
-1.94
-6.4
Meta
PyTorch
-3.2
-1.8
-0.7
-1.8
-1.2
FAILED
Nvidia
TensorRT
-21.8
-0.6
-0.6
-0.6
-9.0
-
Google
TFLite
N/A
N/A
FAILED
N/A
N/A
N/A
BENEFITS

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

Wish your AI compression
and compiling jobs would
magically just work?​