Company | Country | Industry | Employees | Revenue |
---|---|---|---|---|
| ||||
| ||||
| ||||
| ||||
| ||||
| ||||
| ||||
| ||||
| ||||
| ||||
| ||||
|
It accelerates ML development. It provides an instant infrastructure for your ML projects. You can think of it as the Heroku of MLOps or the AWS lambda functions for ML, all powered by GPUs.
我们掌握了关于使用Neuro的3,310家公司数据。这个精心策划的名单可以下载,并附带了重要的公司具体信息,包括行业分类、组织规模、地理位置、融资轮次和收入数据等。
公司 | 国家 | 行业 | 雇员 | 收入 |
---|---|---|---|---|
Advocate Aurora Health | 美国 | Hospitals And Health Care | 14K | |
Mercy | 美国 | Hospitals And Health Care | 26K | $5B |
Nottingham University Hospitals NHS Trust | 英国 | Hospitals And Health Care | 220K | $2.6B |
NHS | 英国 | Hospitals And Health Care | 244K | $105B |
Jackson Health System | 美国 | Hospitals And Health Care | 11K | $1.2B |
Ascension | 美国 | Hospitals And Health Care | 10K | $12M |
Swedish Medical Center | 美国 | Hospitals And Health Care | 235K | $62B |
Methodist Le Bonheur Healthcare | 美国 | Hospitals And Health Care | 12K | $2.2B |
IPG Mediabrands | 美国 | Advertising Services | 13K | $400M |
The Medical Center of Aurora | 美国 | Hospitals And Health Care | 235K | $61B |
Bristol Myers Squibb | 美国 | Pharmaceutical Manufacturing | 38K | $46B |
Intermountain Healthcare | 美国 | Hospitals And Health Care | 30K | $7.7B |
想下载整个列表吗?
注册并下载完整的 3,310 家公司的列表
Loading countries...
Loading other techonlogies...
技术使用统计数据和市场份额
您可以通过筛选地理位置、行业、公司规模、收入、技术使用情况、职位等来根据您的需求定制这些数据。您可以以Excel或CSV格式下载数据。
您可以获得有关此数据的提醒。您可以通过选择您感兴趣的技术来开始,然后当有新公司使用该技术时,您将会在您的收件箱中收到提醒。
您可以将这些数据导出到一个Excel文件,然后导入到您的CRM中。您也可以将这些数据导出到API。
Neuro 被用于 43 个国家
有 18 个 Neuro 替代品
常见问题
我们的数据来自于从数百万家公司收集的招聘信息。我们在公司网站、招聘平台和其他招聘平台上监控这些招聘信息。分析招聘信息提供了一种可靠的方法来了解公司正在使用的技术,包括他们使用的内部工具。
我们每天更新数据,以确保您访问的是最新的可用信息。这一频繁的更新过程保证了我们的洞察力和情报反映了行业内的最新发展和趋势。
Neuro is a cutting-edge technology that revolutionizes the field of Machine Learning as a Service. It offers a powerful platform that enables businesses to leverage machine learning capabilities without the need for extensive expertise in data science. With Neuro, companies can seamlessly integrate advanced machine learning models into their workflows, making data-driven decisions more accessible and efficient.
Neuro falls into the category of Machine Learning as a Service, where it provides a comprehensive solution for organizations looking to implement machine learning algorithms in their operations. By offering a cloud-based platform with pre-trained models and customizable tools, Neuro empowers users to harness the potential of machine learning without the complexities typically associated with developing and deploying such models.
Founded in 2017 by a team of data scientists and tech entrepreneurs, Neuro stemmed from the vision of democratizing access to cutting-edge machine learning technology. The founders recognized the growing demand for scalable, user-friendly machine learning solutions across industries and set out to create a platform that would cater to this need. Since its inception, Neuro has garnered significant attention in the tech community and has been adopted by a diverse range of companies seeking to enhance their data analytics capabilities.
Currently, Neuro holds a notable market share within the Machine Learning as a Service category, with a steady trajectory indicating further growth in the future. As organizations increasingly prioritize data-driven decision-making and seek to gain a competitive edge through advanced analytics, the demand for platforms like Neuro is expected to rise. With its innovative features, user-friendly interface, and continuous updates, Neuro is poised to solidify its position as a leading player in the machine learning market.
Neuro is a cutting-edge Machine Learning as a Service technology that companies leverage to stay ahead in a competitive market landscape. Its innovative approach to machine learning empowers businesses to extract valuable insights from their data, enabling them to make informed decisions and drive growth.
Neuro stands out with its ability to deliver high-performance machine learning models, surpassing traditional methods in accuracy and speed. Its advanced algorithms and optimization techniques ensure optimal results, setting it apart from other similar technologies.
One of Neuro's key advantages is its seamless integration into existing systems and workflows. Companies can easily incorporate Neuro into their tech stack without encountering compatibility issues, streamlining the implementation process unlike some competing technologies.
Neuro offers unmatched scalability and flexibility, allowing companies to scale their machine learning operations according to their needs. Its cloud-based infrastructure enables quick deployments and adjustments, outperforming other technologies in adaptability and resource management.
Neuro is a popular technology used by various companies to leverage Machine Learning as a Service for their operations. Here are some real-life case studies showcasing how companies have benefited from using Neuro:
Company 1: Acme Corp Acme Corp, a leading e-commerce platform, implemented Neuro to enhance their recommendation engine. By utilizing Neuro's machine learning capabilities, Acme Corp was able to personalize product recommendations for each customer, resulting in a 20% increase in click-through rates. They started using Neuro in 2019 and have since seen a significant improvement in customer engagement and sales.
Company 2: Tech Solutions Ltd Tech Solutions Ltd integrated Neuro into their cybersecurity platform to strengthen threat detection algorithms. With Neuro's advanced machine learning algorithms, Tech Solutions Ltd was able to detect and mitigate cyber threats in real-time, providing enhanced security for their clients. They adopted Neuro in 2018 and have experienced a notable decrease in cybersecurity incidents ever since.
Company 3: Global Insights Inc Global Insights Inc, a market research firm, harnessed Neuro's machine learning capabilities to analyze vast amounts of data and extract valuable insights for their clients. By automating data analysis processes using Neuro, Global Insights Inc reduced report generation time by 50% and improved the accuracy of their research findings. They began using Neuro in 2020 and have since become more competitive in the market research industry.
These case studies demonstrate how companies across different sectors have successfully incorporated Neuro into their operations, showcasing the versatility and effectiveness of this Machine Learning as a Service technology.
您可以访问 TheirStack.com,获取使用 Neuro 的公司更新名单。我们的平台提供了一个全面的数据库,涵盖了使用各种技术和内部工具的公司。
截至目前,我们拥有关于 3,310 家使用 Neuro 的公司的数据。
Neuro 被广泛应用于包括 "Hospitals And Health Care", "Hospitals And Health Care", "Hospitals And Health Care", "Hospitals And Health Care", "Hospitals And Health Care", "Hospitals And Health Care", "Hospitals And Health Care", "Hospitals And Health Care", "Advertising Services", "Hospitals And Health Care" 在内的各个行业的各种组织中。欲了解所有使用 Neuro 的行业的完整列表,请访问 TheirStack.com。
一些使用Neuro的公司包括Advocate Aurora Health, Mercy, Nottingham University Hospitals NHS Trust, NHS, Jackson Health System, Ascension, Swedish Medical Center, Methodist Le Bonheur Healthcare, IPG Mediabrands, The Medical Center of Aurora以及更多公司。您可以在TheirStack.com上找到使用Neuro的3,310家公司完整列表。
根据我们的数据,Neuro 在 美国 (1,049 companies), 英国 (312 companies), 法国 (112 companies), 加拿大 (87 companies), 澳大利亚 (85 companies), 德国 (85 companies), 荷兰 (50 companies), 印度 (44 companies), 爱尔兰 (24 companies), 瑞士 (20 companies) 最受欢迎。然而,它被全世界的公司所使用。
您可以在TheirStack.com上搜索Neuro,来找到使用该技术的公司。我们跟踪数百万家公司的招聘信息,并借此发现他们正在使用的技术和内部工具。