


ENOT.ai Revenue
Software Development • Luxembourg, Luxembourg • 1-10 Employees
ENOT.ai revenue & valuation
| Annual revenue | $684,440 |
| Revenue per employee | $86,000 |
| Estimated valuation?This valuation is estimated based on industry average for the Software Development industry and current estimated revenues | $2,200,000 |
| Total funding | No funding |
Key Contacts at ENOT.ai
Sergey Alyamkin
Chief Executive Officer
Alexander Goncharenko
Chief Technology Officer
Company overview
| Headquarters | Luxembourg, Luxembourg |
| Website | |
| Keywords | Computer Vision, Automotive Ai, Large Language Models, Ai Model Acceleration, Ai Model Compression, Hardware-Aware Optimization, Neural Architecture Selection, Neural Network Optimization, Vehicle Perception |
| Founded | 2021 |
| Employees | 1-10 |
| Socials |
ENOT.ai Email Formats
ENOT.ai uses 2 email formats. The most common is {first initial}.{last name} (e.g., j.doe@enot.ai), used 50% of the time.
| Format | Example | Percentage |
|---|---|---|
{first initial}.{last name} | j.doe@enot.ai | 50% |
{first name}.{last name} | john.doe@enot.ai | 50% |
About 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
Employees by Management Level
Total employees: 1-10
Seniority
Employees
Employees by Department
ENOT.ai has 6 employees across 5 departments.
Departments
Number of employees
ENOT.ai Tech Stack
Discover the technologies and tools that power ENOT.ai's digital infrastructure, from frameworks to analytics platforms.
Security
Security
JavaScript libraries
Tag managers
Advertising
JavaScript libraries
Miscellaneous
Analytics
Analytics
CMS
JavaScript libraries
Frequently asked questions
4.8
40,000 users



