Companies that use cnvrg.io

Frequently asked questions

What is the source of this data?

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.

How often is the data updated?

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.

What is cnvrg.io?

cnvrg.io is a powerful platform designed for machine learning and data science teams to streamline their workflow, from research to production. It provides a collaborative environment for teams to manage and automate tasks involved in developing and deploying machine learning models. With features like version control, experiment tracking, model deployment, and monitoring, cnvrg.io aims to simplify the complexities of AI development and accelerate time-to-market for projects.

In the realm of Machine Learning Tools, cnvrg.io stands out as a comprehensive solution that addresses the end-to-end needs of data science teams. It falls into the category of platforms that offer tools and functionalities to support the entire machine learning lifecycle, from data preparation to model deployment. By integrating various components into a unified platform, cnvrg.io enables teams to work more efficiently and collaboratively, ultimately leading to better outcomes in machine learning projects.

cnvrg.io was founded in 2016 by Yochay Ettun and Leah Forkosh Kolben with the vision of providing a centralized platform to enhance the productivity of machine learning and data science teams. Their motivation stemmed from observing the challenges faced by these teams in managing diverse tools and processes scattered across multiple stages of the machine learning workflow. Since its inception, cnvrg.io has steadily increased its market share within the Machine Learning Tools category, gaining recognition for its user-friendly interface and robust feature set. With the growing demand for streamlined machine learning solutions, it is projected that cnvrg.io will continue to expand its market presence in the foreseeable future.

How to get an updated list of companies that use cnvrg.io?

You can access an updated list of companies using cnvrg.io by visiting TheirStack.com. Our platform provides a comprehensive database of companies utilizing various technologies and internal tools.

How many customers does cnvrg.io have?

As of now, we have data on 11 companies that use cnvrg.io.

Who uses cnvrg.io?

cnvrg.io is used by a diverse range of organizations across various industries, including "Computer Hardware Manufacturing", "Computer Hardware Manufacturing", "It Services And It Consulting", "Biotechnology Research", "Technology, Information And Internet", "Computer Games", "Staffing And Recruiting", "It Services And It Consulting", "Business Consulting And Services". For a comprehensive list of all industries utilizing cnvrg.io, please visit TheirStack.com.

What companies use cnvrg.io?

Some of the companies that use cnvrg.io include Dell Technologies, Intel, ONE Technology Services, Thermo Fisher Scientific, myGwork - LGBTQ+ Business Community, Wargaming, SimplyApply, Change Leaders, PandoLogic, Aligned Automation, LLC and many more. You can find a complete list of 11 companies that use cnvrg.io on TheirStack.com.

In which countries cnvrg.io is used the most?

Based on our data, cnvrg.io is most popular in United States (5 companies), Cyprus (1 companies), United Kingdom (1 companies). However, it is used by companies all over the world.

How to find companies that use cnvrg.io?

You can find companies using cnvrg.io 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.