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It is a library for compiling trained traditional ML models into tensor computations. It allows users to seamlessly leverage neural network frameworks (such as PyTorch) to accelerate traditional ML models.
258
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.
Hummingbird is used in 18 countries
We have data on 258 companies that use Hummingbird. Our Hummingbird 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
Hummingbird
Company | Country | Industry | Employees | Revenue | Technologies |
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Construction |
| Hummingbird | |||
United States | Business Consulting And Services | 6 |
| Hummingbird | |
United States | Individual And Family Services | 81 |
| Hummingbird | |
United States | Manufacturing | 35K | $12B | Hummingbird | |
United States | Government Administration | 2.1K | $965M | Hummingbird | |
Netherlands | Manufacturing | 10K | $8.7B | Hummingbird | |
Canada | Government Administration | 5K | $10M | Hummingbird | |
Canada | Financial Services | 1K | $543M | Hummingbird | |
Canada | Hospitality | 49 | $3.6M | Hummingbird | |
United Kingdom | Hospitals And Health Care | 501 |
| Hummingbird |
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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.
Hummingbird is a cutting-edge technology in the realm of Machine Learning Tools. This innovative platform offers companies the capability to streamline and enhance their machine learning processes, ultimately facilitating more efficient and effective data analysis and decision-making. Hummingbird stands out for its advanced algorithms and automated features, providing users with a robust toolset to tackle complex data challenges and derive valuable insights.
In the domain of Machine Learning Tools, Hummingbird falls under the category of next-generation solutions that leverage artificial intelligence to optimize data processing and modeling tasks. It is designed to cater to the evolving needs of businesses seeking to extract actionable information from vast datasets with greater speed and accuracy. With its emphasis on automation and algorithmic efficiency, Hummingbird empowers organizations to stay ahead in the competitive landscape by enabling them to make data-driven decisions quickly and effectively.
Hummingbird was founded in 2017 by a team of experienced data scientists and technology enthusiasts with a vision to revolutionize the way companies harness the power of machine learning. Their motivation stemmed from a deep-seated belief in the transformative potential of artificial intelligence and its ability to drive innovation across industries. Since its inception, Hummingbird has steadily gained traction in the market, attracting a growing user base impressed by its performance and capabilities.
Currently, Hummingbird holds a noteworthy market share within the Machine Learning Tools category, thanks to its reputation for delivering tangible results and driving operational efficiency. As organizations increasingly prioritize data-driven strategies, the demand for advanced machine learning solutions like Hummingbird is projected to rise. With the continued evolution of machine learning technologies and the growing emphasis on AI-driven insights, Hummingbird is poised to witness further growth and solidify its position as a key player in the market.
You can access an updated list of companies using Hummingbird 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 258 companies that use Hummingbird.
Hummingbird is used by a diverse range of organizations across various industries, including "Construction", "Business Consulting And Services", "Individual And Family Services", "Manufacturing", "Government Administration", "Manufacturing", "Government Administration", "Financial Services", "Hospitality", "Hospitals And Health Care". For a comprehensive list of all industries utilizing Hummingbird, please visit TheirStack.com.
Some of the companies that use Hummingbird include Appia Group Pty Ltd, The Scotsman Group, Sage Eldercare Solutions, Georgia-Pacific, Metropolitan Atlanta Rapid Transit Authority (MARTA), JACOBS DOUWE EGBERTS, City of Vancouver, Canaccord Genuity Corp., Whitewater Ski Resort, Pilgrims' Friend Society and many more. You can find a complete list of 258 companies that use Hummingbird on TheirStack.com.
Based on our data, Hummingbird is most popular in United States (82 companies), United Kingdom (17 companies), Canada (12 companies), Netherlands (10 companies), India (9 companies), Australia (4 companies), Germany (4 companies), France (3 companies), Philippines (3 companies), Sweden (2 companies). However, it is used by companies all over the world.
You can find companies using Hummingbird 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.