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Gradient° is a suite of tools for exploring data and training neural networks. Gradient° includes 1-click Jupyter notebooks, a powerful job runner, and a python module to run any code on a fully managed GPU cluster in the cloud. Gradient is also rolling out full support for Google's new TPUv2 accelerator to power even more newer workflows.
87
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.
There are 202 alternatives to Gradient°
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Gradient° is used in 10 countries
Technology
is any of
Gradient°
Company | Country | Industry | Employees | Revenue | Technologies |
---|---|---|---|---|---|
United States | Hospitals And Health Care | 3.6K | $3.9M | Gradient° | |
Canada | Banking | 51 |
| Gradient° | |
United States | Financial Services | 201 | $55M | Gradient° | |
United States | Biotechnology | 160 | $4.3M | Gradient° | |
United States | Financial Services | 1.4K | $147M | Gradient° | |
Australia | Mining | 1.5K | $27M | Gradient° | |
| Gradient° | ||||
Canada | Hospitals And Health Care | 1.8K | $28M | Gradient° | |
United States | Financial Services | 110 |
| Gradient° | |
Viet Nam | Outsourcing And Offshoring Consulting | 51 |
| Gradient° |
We have data on 87 companies that use Gradient°. Our Gradient° 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.
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.
Gradient° is a cutting-edge technology in the realm of Machine Learning as a Service. This innovative platform offers robust solutions that leverage advanced machine learning algorithms to empower businesses with predictive analytics, data insights, and automation capabilities. By utilizing Gradient°, organizations can streamline their operations, enhance decision-making processes, and gain a competitive edge in today's data-driven landscape.
Machine Learning as a Service, the category to which Gradient° belongs, revolves around providing cloud-based machine learning models and tools to businesses without the need for extensive in-house expertise or infrastructure. This enables companies to harness the power of machine learning for various applications such as natural language processing, image recognition, and predictive analytics. Gradient° stands out in this category by offering a user-friendly interface, scalable infrastructure, and a wide range of pre-trained models and algorithms.
Founded by a team of data science and technology enthusiasts in 2017, Gradient° embarked on a mission to democratize access to machine learning capabilities for businesses of all sizes. Their passion for simplifying complex algorithms and making them accessible to non-experts drove the development of Gradient° into a versatile platform that caters to diverse industry needs. Over the years, Gradient° has garnered a strong reputation for its reliability, performance, and innovative features, solidifying its position as a leading player in the Machine Learning as a Service segment.
In terms of current market share, Gradient° has seen significant growth and adoption within the Machine Learning as a Service landscape. With an increasing number of businesses recognizing the value of leveraging machine learning for operational efficiency and strategic decision-making, Gradient° has experienced a steady rise in its market presence. Looking ahead, the forecast suggests that Gradient° is poised for further growth as the demand for machine learning solutions continues to expand across industries worldwide.
You can access an updated list of companies using Gradient° 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 87 companies that use Gradient°.
Gradient° is used by a diverse range of organizations across various industries, including "Hospitals And Health Care", "Banking", "Financial Services", "Biotechnology", "Financial Services", "Mining", "Hospitals And Health Care", "Financial Services", "Outsourcing And Offshoring Consulting". For a comprehensive list of all industries utilizing Gradient°, please visit TheirStack.com.
Some of the companies that use Gradient° include Hanger Inc., Vault Credit Corporation, Gradient Financial Group, Northern California Institute for Research and Education, Credit One Bank, Barminco, empty, CISSS de la Montérégie - Est, Caliber Financial Services, CNC Software and many more. You can find a complete list of 87 companies that use Gradient° on TheirStack.com.
Based on our data, Gradient° is most popular in United States (34 companies), United Kingdom (10 companies), Canada (6 companies), France (6 companies), Germany (2 companies), Argentina (1 companies), Australia (1 companies), Norway (1 companies), Spain (1 companies), Viet Nam (1 companies). However, it is used by companies all over the world.
You can find companies using Gradient° 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.