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It brings organization and collaboration to data science projects. All the experiement-related objects are backed-up and organized ready to be analyzed, reproduced and shared with others. Works with all common technologies and integrates with other tools.
1,609
companies
We have data on 1,609 companies that use Neptune. Our Neptune 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.
Company | Country | Industry | Employees | Revenue |
---|---|---|---|---|
![]() JupiterOne | United States | It Services And It Consulting | 180 | $4.9M |
Central Garden & Pet - Dog/Cat Segment | United States | Manufacturing | 1.8K | $3.4B |
Fannie Mae | United States | Financial Services | 13K | $29B |
Zscaler | United States | Computer And Network Security | 8.1K | $1.1B |
Neptune Technology Group | United States | Appliances, Electrical, And Electronics Manufacturing | 681 | $54M |
Medline Industries Inc | United States | Medical Equipment Manufacturing | 28K | $20B |
The Hundred of Hoo Academy (Secondary) | United Kingdom | Education Administration Programs | 53 | |
Le Boat | United Kingdom | Travel Arrangements | 130 | $3.4M |
Passei Direto | Brazil | Education | 210 | $28M |
Fresh Start Foods | Canada | Retail | 130 | $19M |
Ledcor | Canada | Construction | 6.4K | |
Central Garden & Pet | United States | Manufacturing | 5K | $3.4B |
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Technoloy Usage Stadistics and Market Share
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Neptune is used in 40 countries
There are 76 alternatives to Neptune
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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.
Neptune is a prominent technology in the realm of Machine Learning Tools, offering a comprehensive platform for managing and monitoring machine learning experiments. It provides a centralized hub where data scientists and machine learning engineers can track, visualize, and collaborate on their experiments effectively. With features like experiment versioning, hyperparameter optimization, and real-time metric tracking, Neptune streamlines the machine learning workflow, enabling teams to iterate faster and improve model performance.
Founded in 2019 by a team of machine learning enthusiasts, Neptune aimed to address the challenges faced by data science teams in tracking and reproducing machine learning experiments efficiently. Their motivation stemmed from a desire to enhance collaboration and productivity within the machine learning community by providing a robust platform that caters to the unique needs of data scientists and researchers.
Currently, Neptune holds a competitive market share within the Machine Learning Tools category, with a growing user base and increasing adoption among data-centric organizations. As machine learning continues to play a crucial role in various industries, the demand for sophisticated experiment tracking and management tools like Neptune is expected to rise. Forecasts suggest that Neptune is well-positioned to expand its market share further in the future, driven by its continuous innovation and commitment to empowering data science teams worldwide.
Neptune offers cutting-edge solutions for companies looking to harness the power of Machine Learning Tools. Its innovative features and user-friendly interface make it a top choice for businesses seeking advanced data analytics capabilities.
Neptune provides a collaborative environment where data scientists, analysts, and stakeholders can easily work together on projects in real-time. Unlike other similar technologies that lack seamless integration and user-friendly interfaces, Neptune streamlines communication and enables efficient teamwork.
With Neptune, companies can conduct experiments and track results with ease, thanks to its comprehensive logging and version control system. This feature sets Neptune apart from its competitors by offering a centralized platform that simplifies the experiment tracking process and enhances reproducibility.
Neptune is designed to handle large-scale data processing tasks efficiently, making it ideal for companies with diverse and complex Machine Learning projects. Its scalable architecture ensures optimal performance, setting it apart from other tools that may struggle with processing massive datasets effectively.
Neptune's interactive visualization capabilities allow users to gain valuable insights from their data through dynamic charts and graphs. This feature surpasses traditional static reporting methods, providing a more engaging and intuitive way to interpret and present data analysis results.
Neptune is a popular tool utilized by various companies in the machine learning field to manage and streamline their workflow. Some prominent companies that leverage Neptune include Spotify, Microsoft, and Uber.
Spotify: Spotify adopted Neptune to enhance their machine learning operations by centralizing their experimentation process. They started using Neptune in 2019 to track and monitor various machine learning models in real-time, allowing their data scientists to collaborate more effectively.
Microsoft: Microsoft integrated Neptune into their data science workflow to improve model performance and facilitate model versioning. They began utilizing Neptune in 2020 to streamline the experimentation process and track the progress of different machine learning projects.
Uber: Uber implemented Neptune as a key component in their machine learning infrastructure to monitor and optimize their algorithms. Since 2018, Uber has utilized Neptune to manage their model training process efficiently and visualize key metrics for better decision-making in their data-driven initiatives.
These case studies highlight how companies like Spotify, Microsoft, and Uber have successfully integrated Neptune into their machine learning pipelines, showcasing the tool's effectiveness in enhancing productivity and collaboration within their data science teams.
You can access an updated list of companies using Neptune 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 1,609 companies that use Neptune.
Neptune is used by a diverse range of organizations across various industries, including "It Services And It Consulting", "Manufacturing", "Financial Services", "Computer And Network Security", "Appliances, Electrical, And Electronics Manufacturing", "Medical Equipment Manufacturing", "Education Administration Programs", "Travel Arrangements", "Education", "Retail". For a comprehensive list of all industries utilizing Neptune, please visit TheirStack.com.
Some of the companies that use Neptune include JupiterOne, Central Garden & Pet - Dog/Cat Segment, Fannie Mae, Zscaler, Neptune Technology Group, Medline Industries Inc, The Hundred of Hoo Academy (Secondary), Le Boat, Passei Direto, Fresh Start Foods and many more. You can find a complete list of 1,609 companies that use Neptune on TheirStack.com.
Based on our data, Neptune is most popular in United States (658 companies), United Kingdom (122 companies), France (70 companies), Canada (42 companies), India (30 companies), Germany (24 companies), Spain (20 companies), Netherlands (18 companies), Switzerland (15 companies), Australia (11 companies). However, it is used by companies all over the world.
You can find companies using Neptune 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.