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It is an open-source development toolkit to help Data Scientists and Machine Learning (ML) Engineers prototype and productionize ML pipelines in days not weeks. It is based on experience building ML infrastructure at leading tech companies.
158
companies
Technoloy Usage Stadistics and Market Share
You can customize this data to your needs by filtering for geography, industry, company size, revenue, technology usage, job postions and more. You can download the data in Excel or CSV format.
You can get alerts for this data. You can get started by selecting the technology you are interested in and then you will receive alerts in your inbox when there are new companies using that technology.
You can export his data to an Excel file, which can be imported into your CRM. You can also export the data to an API.
Sematic is used in 22 countries
We have data on 158 companies that use Sematic. Our Sematic 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
Sematic
Company | Country | Industry | Employees | Revenue | Technologies |
---|---|---|---|---|---|
United States | Transportation Equipment Manufacturing | 501 | $7M | Sematic | |
United States | Financial Services | 40K | $12B | Sematic | |
United States | Manufacturing | 2.3K | $4.1B | Sematic | |
India | Machinery Manufacturing |
| Sematic | ||
United States | It Services And It Consulting | 11 |
| Sematic | |
United States | Appliances, Electrical, And Electronics Manufacturing | 45K | $9B | Sematic | |
United Kingdom | Utilities | 5K | $2.4B | Sematic | |
South Africa | Paper And Forest Product Manufacturing | 501 | $5M | Sematic | |
United States | It Services And It Consulting | 201 |
| Sematic | |
| Sematic |
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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.
Sematic is a cutting-edge technology revolutionizing the field of Machine Learning Tools. By leveraging advanced algorithms and data processing capabilities, Sematic empowers businesses to extract valuable insights from their datasets, enabling smarter decision-making and enhancing overall efficiency. With its intuitive interface and robust features, Sematic sets a new standard for data analysis and interpretation in the rapidly evolving landscape of machine learning.
In the realm of Machine Learning Tools, Sematic occupies a pivotal position as a sophisticated platform that streamlines the data science workflow. From data preprocessing to model training and evaluation, Sematic offers a comprehensive suite of tools that cater to the diverse needs of data-driven organizations. Its seamless integration with popular programming languages and frameworks makes it a versatile choice for professionals seeking a competitive edge in harnessing the power of machine learning.
Founded in 2015 by a team of data science enthusiasts, Sematic emerged with the vision of democratizing access to advanced machine learning capabilities. Motivated by the belief that data-driven insights should be accessible to all, the founders of Sematic embarked on a journey to develop a user-friendly platform that bridges the gap between complex algorithms and real-world applications. Since its inception, Sematic has garnered widespread acclaim for its innovative approach to data analysis and continues to push the boundaries of what is achievable in the realm of machine learning.
In the current market scenario, Sematic holds a significant market share within the Machine Learning Tools category, owing to its superior performance and user-friendly interface. With a projected increase in demand for data-driven solutions across industries, Sematic is poised to experience further growth in the coming years. As businesses increasingly rely on data analytics to drive strategic decision-making, Sematic is well-positioned to capitalize on this trend and solidify its position as a key player in the machine learning technology landscape.
You can access an updated list of companies using Sematic 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 158 companies that use Sematic.
Sematic is used by a diverse range of organizations across various industries, including "Transportation Equipment Manufacturing", "Financial Services", "Manufacturing", "Machinery Manufacturing", "It Services And It Consulting", "Appliances, Electrical, And Electronics Manufacturing", "Utilities", "Paper And Forest Product Manufacturing", "It Services And It Consulting". For a comprehensive list of all industries utilizing Sematic, please visit TheirStack.com.
Some of the companies that use Sematic include Trialon Corporation, State Street, First Quality, Hire Hubb, Blutium, Molex, UK Power Networks, SA Metal Group (Pty) Ltd, Locana, FINACC BUSINESS CONSULTING and many more. You can find a complete list of 158 companies that use Sematic on TheirStack.com.
Based on our data, Sematic is most popular in United States (64 companies), United Kingdom (15 companies), Canada (4 companies), India (4 companies), Australia (3 companies), France (3 companies), Germany (3 companies), Finland (2 companies), Ireland (2 companies), Switzerland (2 companies). However, it is used by companies all over the world.
You can find companies using Sematic 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.