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It is a Python library for secure and private Deep Learning. PySyft decouples private data from model training, using Federated Learning, Differential Privacy, and Multi-Party Computation (MPC) within the main Deep Learning frameworks like PyTorch and TensorFlow.
10
companies
Technoloy Usage Stadistics and Market Share
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PySyft is used in 6 countries
We have data on 10 companies that use PySyft. Our PySyft customers list is available for download and comes enriched with vital company specifics, including industry classification, organizational size, geographical location, funding rounds, and revenue figures, among others.
Technology
is any of
PySyft
Company | Country | Industry | Employees | Revenue | Technologies |
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Spain | Research Services |
| PySyft | ||
United States | Technology, Information And Internet | 54 |
| PySyft | |
United Kingdom | Technology, Information And Internet | 19 |
| PySyft | |
Cyprus | Software Development | 702 |
| PySyft | |
Canada | Banking | 92K | $32B | PySyft | |
United States | Research Services | 4.1K | $290M | PySyft | |
United States | Software Development | 1.6K | $292M | PySyft | |
Belgium | Telecommunications | 5.2K | $982M | PySyft | |
It Services And It Consulting | 501 |
| PySyft | ||
Spain | Advertising Services |
| PySyft |
There are 202 alternatives to PySyft
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Frequently asked questions
Our data is sourced from job postings collected from millions of companies. We monitor these postings on company websites, job boards, and other recruitment platforms. Analyzing job postings provides a reliable method to understand the technologies companies are employing, including their use of internal tools.
We refresh our data daily to ensure you are accessing the most current information available. This frequent updating process guarantees that our insights and intelligence reflect the latest developments and trends within the industry.
PySyft is a crucial technology in the realm of Machine Learning Tools. Developed as an open-source framework, PySyft focuses on privacy-preserving machine learning, enabling secure and private computation capabilities. By leveraging techniques like federated learning and homomorphic encryption, PySyft empowers data scientists and machine learning engineers to collaborate on sensitive data without compromising individual privacy.
PySyft falls under the category of Machine Learning Tools, specifically catering to the privacy and security aspects of AI models. It enables organizations to build robust machine learning applications while adhering to strict data privacy regulations. The PySyft framework facilitates the implementation of secure data sharing protocols and privacy-preserving machine learning algorithms, making it a go-to choice for companies prioritizing data confidentiality.
Founded in [year], PySyft was born out of the increasing concerns surrounding data privacy and security in machine learning applications. The technology was pioneered by [founders], who recognized the need for a framework that could bridge the gap between collaborative machine learning and data privacy. With a mission to democratize secure machine learning, the creators of PySyft set out to develop a cutting-edge solution that could revolutionize how organizations handle sensitive data in their AI initiatives.
As of [current year], PySyft holds a notable market share within the Machine Learning Tools category, with a steadily growing user base. With the ever-increasing emphasis on data privacy and security, PySyft is poised to experience further growth in the future. As more companies prioritize secure machine learning practices, the demand for privacy-preserving technologies like PySyft is expected to rise, solidifying its position in the market and potentially expanding its market share even further.
You can access an updated list of companies using PySyft by visiting TheirStack.com. Our platform provides a comprehensive database of companies utilizing various technologies and internal tools.
As of now, we have data on 10 companies that use PySyft.
PySyft is used by a diverse range of organizations across various industries, including "Research Services", "Technology, Information And Internet", "Technology, Information And Internet", "Software Development", "Banking", "Research Services", "Software Development", "Telecommunications", "It Services And It Consulting", "Advertising Services". For a comprehensive list of all industries utilizing PySyft, please visit TheirStack.com.
Some of the companies that use PySyft include Centro Nacional de Análisis Genómico (CNAG), OpenMined, NetraScale, Jooble, RBC, National Renewable Energy Laboratory, Talend, SWIFT Financial Messaging Services, ALTECA, Wardem and many more. You can find a complete list of 10 companies that use PySyft on TheirStack.com.
Based on our data, PySyft is most popular in United States (3 companies), Spain (2 companies), Belgium (1 companies), Canada (1 companies), Cyprus (1 companies), United Kingdom (1 companies). However, it is used by companies all over the world.
You can find companies using PySyft by searching for it on TheirStack.com, We track job postings from millions of companies and use them to discover what technologies and internal tools they are using.