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The objects got detected 6,8x times faster while average market acceleration is 3,4x.
More benchmarks
Object detection
6.8x
Yolo_v5s
acceleration
Object detection
12.4x
MobileNet_v2_SSD-lite
acceleration
Image classification
11.2x
MobileNet_v2
acceleration
Image classification
11.2x
Resnet50
acceleration
NLP
9.3x
BERT
acceleration
Introduce more features
Speed up the NN
on the existing hardware
Move AI computing onto edge
Reduce cloud costs
What do our clients benefit from enot.ai?
on target hardware
Reduce costs
on the existing hardware
Speed up the NN
Get started by implementing only a few lines of code
Creativity is to discover a question that has never been asked. If one brings up an idiosyncratic question, the answer he gives will necessarily be unique as well.
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Technology
Creativity is to discover a question that has never been asked. If one brings up an idiosyncratic question, the answer he gives will necessarily be unique as well. Learn more
Product
ENOT is a framework with a Python API that can be quickly and easily integrated within various neural network training pipelines
Language
CNN
RNN
LSTM
DNN
Machine Learning Frameworks
Deployment
NN Types
Hardware Libraries
CPU
FGPA
GPU
NPU
Runtime
On-premises
On the cloud
Read more about our custom case studies

Our Team
Curiosity about life in all its aspects, I think, is still the secret of great creative people.
Michael Berkov
Chief Financial Officer
Alex Goncharenko
Chief technology Officer
Ivan Oseledets
Chief Research Officer
Serge Aliamkin
Chief Executive Officer
Vlad Dyubanov
Strategic Partnerships
Kristians Karlsons
Business Development
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