ENOT.ai
Sergey Alyamkin currently serves as the Chief Executive Officer at ENOT.ai since January 2021. Previously, Sergey held key roles in technology and data science, including Chief Technology Officer at Expasoft LLC and Chief Data Scientist at AlphaX Decision Sciences. Additional experience includes leading the Artificial Intelligence group at IntelliVision and working as a Senior Data Scientist at Baker Hughes. Sergey began a data science career as Chief Data Scientist at Uniscan. Sergey holds a Bachelor's degree in Physics, a Master's degree in Artificial Intelligence, and a PhD in Artificial Intelligence, all from Novosibirsk State University.
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ENOT.ai
ENOT.ai was founded by experts in computer vision solutions who've dedicated lifetimes to neural network advancements for diverse firms. Identifying inefficiencies in neural network pipelines, we innovated a technology to compress these networks without compromising accuracy. Enot.ai focuses on: Optimal neural network compression. User-friendly tools with easy installation and navigation. Universality in optimizing various neural networks, especially mainstream ones. Our ethos stands on: Innovation: Delivering cutting-edge AI. Customer-Centricity: Prioritizing tailored solutions and value. Sustainability: Pioneering green AI. Collaboration: Partnering for shared success. Integrity: Upholding transparency and trust. ENOT.ai offers two solutions: ENOT Lite Quick Acceleration: An ideal 'neural network accelerator' for those using PyTorch or Tensorflow on Intel CPU/Nvidia GPU. Achieve a performance boost of 2-8x*. Seamless Integration: Easily fits into your existing PyTorch/Tensorflow setup, facilitating accelerated AI application performance. Rapid Outcomes: Benefit from ENOT.ai's inference engine for instant acceleration with minor workflow adjustments. ENOT Pro Peak Efficiency: Provides leading neural network compression for tailored models, with a remarkable 4-20x compression rate*, enhancing AI workload efficiency. Deep Customization: Tailored for teams requiring in-depth adaptability, granting the precision to refine and optimize neural networks according to specific requirements. Performance Investment: Dedicate a week of developer engagement and experience the transformative efficiency and speed upgrade for your AI models. *Performance varies based on environment and neural network. Choose ENOT.ai for an efficient, accessible, and green AI future. Contacts: sales@enot.ai