Locations
Company type
Result types
Industries
Employees
Founding year
The B2B platform for the best purchasing descision. Identify and compare relevant B2B manufacturers, suppliers and retailers
Close
Filter
Result configuration
Continents
Select continent
Locations
Result types
Company type
Select company type
Industries
Select industry
Company status
Select company status preset
Number of employees
Min.
Max.
Founding year
FloydHub
San Francisco, United States
B
1-10 Employees
2016
Key takeaway
The company highlights its focus on deep learning and artificial intelligence, emphasizing the use of cloud GPUs, which are essential for high-performance computing in these fields.
Reference
Core business
FloydHub Blog
Deep Learning • Artificial Intelligence • Cloud GPUs
Positronic AI
Chesterfield, United States
B
1-10 Employees
2015
Key takeaway
LIT AI is a leader in AI innovation, providing a platform that automates 90% of the workflow for training and deploying predictive and generative AI models, which is crucial for implementing deep learning solutions. Their technology enhances efficiencies across various sectors, including healthcare and business operations, by improving diagnostics and optimizing processes.
Reference
Service
Deep Learning
Deep Cognition
Dallas, United States
B
11-50 Employees
2017
Key takeaway
Deep Cognition is recognized for its expertise in the Artificial Intelligence domain, making it a valuable resource for companies interested in deep learning. Their strong support and trusted reputation among large organizations highlight their capability in this field.
Reference
Product
Features - Deep Cognition
Looking for more accurate results?
Find the right companies for free by entering your custom query!
25M+ companies
250M+ products
Free to use
Deep Learning Rental
Saint Paul, United States
B
1-10 Employees
2021
Key takeaway
The company, DLR, offers a specialized service for deep learning that allows AI/ML teams to lease private bare metal HPC machines. This ensures faster performance and enhanced data security at a lower cost compared to major cloud providers.
Reference
Core business
Deep Learning Rental - Deep Learning Rental
Don’t give Big Cloud your data. Lease private HPC machines for a fraction of the cost of major cloud providers and keep your models and data safe and secure. See Our Servers and Pricing Private On-Premise Cloud Your AI / ML team wants bare metal to run their workloads on because there’s nothing faster than… Read More »Deep Learning Rental
Quantellia
Sunnyvale, United States
B
1-10 Employees
2010
Key takeaway
The company emphasizes its expertise in decision-making through advisory and strategic planning services, which includes a focus on Deep Learning and Agile AI. They collaborate with a global network of providers to create tailored solutions that leverage advanced technologies like AI and machine learning.
Reference
Product
Deep Learning – Quantellia
AtomRain Inc.
Santa Monica, United States
B
11-50 Employees
2009
Key takeaway
AtomRain specializes in providing deep learning services, focusing on AI augmentation that empowers human workers and enhances organizational efficiency. Their expertise in Graph + AI solutions enables businesses to leverage advanced technologies for transformative results.
Reference
Service
Deep Learning AtomRain | AtomRain - AI solution experts and leading graph database specialists
Deep Learning AtomRain - Graph + AI solutions save you time and money ⏩ AI is not only for innovation ✔️ Give your humans super powers ⚡ We use Graph and AI to amplify every human worker
Elder Research
Charlottesville, United States
B
51-100 Employees
1995
Key takeaway
Elder Research emphasizes the importance of trust in their work, particularly in developing analytic models and solutions that are accurate and reliable. They apply deep learning techniques, specifically deep neural networks (DNNs), to tackle complex challenges, underscoring their commitment to rigorous science and advanced machine learning methodologies.
Reference
Product
Deep Learning | Elder Research
Deep Learning applies deep neural networks (DNNs) to a variety of challenging problem areas – many of which have been…
DeepEdge
San Ramon, United States
B
11-50 Employees
2018
Key takeaway
DeepEdge has developed various deep learning technologies that enhance safety and efficiency, including facial recognition for law enforcement and systems to reduce produce loss during harvesting. Their platform offers low-code and no-code solutions for easy implementation of deep learning applications, making advanced technology accessible for diverse uses.
Reference
Service
DeepEdge
Artillery
San Francisco, United States
B
11-50 Employees
2018
Key takeaway
DeepSig is a key player in the deep learning landscape, utilizing machine learning and artificial intelligence to develop optimized models from data, which enhances efficiency in various aspects of the 5G stack. Their innovative approach replaces traditional algorithm design with AI-driven methods, offering substantial computational and power advantages.
Reference
Product
Deep Learning Software for Communications | DeepSig, USA
DeepSig uses Machine Learning (ML) and Artificial Intelligence (AI) to learn optimized models directly from data rather than manually designing specialized algorithms. This process, replacing hand-engineering algorithms with AI-based equivalents that use machine learning, will bring significant computational and power benefits to many areas of the 5G stack.
Berkeley Design Technology
Walnut Creek, United States
B
11-50 Employees
1991
Key takeaway
BDTI offers services that assist business executives, product marketers, and engineers in developing and utilizing embedded processors and software for deep learning applications. Their expertise can enhance decision-making and product development in this field.
Reference
Product
Deep Learning | Berkeley Design Technology, Inc
Technologies which have been searched by others and may be interesting for you:
A selection of suitable products and services provided by verified companies according to your search.
Service
AI and ML App
Go to product
Service
Internships
Go to product
Service
Deep Learning
Go to product
Service
Elements of AI For Business ®
Go to product
A selection of suitable use cases for products or services provided by verified companies according to your search.
Use case
EU-AI Act
All industries, Pharma, Finance, E-Mobility, Healthcare
er EU AI Act klassifiziert KI-Systeme in 4 Risikostufen: Verbotene KI: Soziale Bewertungssysteme, biometrische Echtzeit-Überwachung, manipulative Systeme Hochrisiko-KI: Kritische Infrastruktur, Bildung, Personalwesen, wichtige Dienste, Strafverfolgung Begrenzte Risiken: Chatbots (Transparenzpflicht), KI-generierte Inhalte (Kennzeichnungspflicht), Emotionserkennung Minimales Risiko: Alle anderen KI-Anwendungen ohne spezifische Auflagen Nachweis KI-Kompetenz: Unternehmen müssen dokumentieren, dass ihre KI-Systeme konform sind Verpflichtende Schulungen für Mitarbeiter im Umgang mit KI-Systemen Nachweis technischer Expertise im Entwicklungsteam Regelmäßige Überprüfung und Aktualisierung der KI-Kompetenzen Dokumentation von Risikobewertungen und Qualitätsmanagement Etablierung eines KI-Ethik-Boards für Hochrisiko-Anwendungen Inkrafttreten: 24 Monate nach Verabschiedung, Hochrisiko-Systeme: 36 Monate Übergangsfrist. Ziel ist ein sicherer, ethischer KI-Einsatz in der EU durch kompetente Anwendung und Überwachung.
Use case
EU-AI Act
All industries, Pharma, Finance, E-Mobility, Healthcare
er EU AI Act klassifiziert KI-Systeme in 4 Risikostufen: Verbotene KI: Soziale Bewertungssysteme, biometrische Echtzeit-Überwachung, manipulative Systeme Hochrisiko-KI: Kritische Infrastruktur, Bildung, Personalwesen, wichtige Dienste, Strafverfolgung Begrenzte Risiken: Chatbots (Transparenzpflicht), KI-generierte Inhalte (Kennzeichnungspflicht), Emotionserkennung Minimales Risiko: Alle anderen KI-Anwendungen ohne spezifische Auflagen Nachweis KI-Kompetenz: Unternehmen müssen dokumentieren, dass ihre KI-Systeme konform sind Verpflichtende Schulungen für Mitarbeiter im Umgang mit KI-Systemen Nachweis technischer Expertise im Entwicklungsteam Regelmäßige Überprüfung und Aktualisierung der KI-Kompetenzen Dokumentation von Risikobewertungen und Qualitätsmanagement Etablierung eines KI-Ethik-Boards für Hochrisiko-Anwendungen Inkrafttreten: 24 Monate nach Verabschiedung, Hochrisiko-Systeme: 36 Monate Übergangsfrist. Ziel ist ein sicherer, ethischer KI-Einsatz in der EU durch kompetente Anwendung und Überwachung.
When exploring the Deep Learning industry in the United States, several key considerations are essential. Understanding the competitive landscape is crucial, as the market is populated with both established tech giants and innovative startups. The rapid pace of technological advancements means that organizations must stay ahead in terms of research and development to remain relevant. Regulatory frameworks also play a significant role; compliance with data privacy laws, such as the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA), is necessary for ethical AI deployment. Challenges such as data bias and the need for transparency in algorithms are ongoing concerns that companies must address to build trust with users. Opportunities in the sector are abundant, particularly in industries like healthcare, finance, and autonomous vehicles, where deep learning can drive significant efficiencies and innovations. Additionally, environmental considerations are becoming increasingly important, as the energy consumption of training large models can have a substantial carbon footprint. Finally, the global market relevance of deep learning cannot be underestimated, as advancements in the U.S. often influence international trends and practices. Keeping these factors in mind is vital for anyone looking to engage with or invest in the deep learning sector.
Some interesting numbers and facts about your company results for Deep Learning
| Country with most fitting companies | United States |
| Amount of fitting manufacturers | 3262 |
| Amount of suitable service providers | 2533 |
| Average amount of employees | 11-50 |
| Oldest suiting company | 1991 |
| Youngest suiting company | 2021 |
Some interesting questions that has been asked about the results you have just received for Deep Learning
What are related technologies to Deep Learning?
Based on our calculations related technologies to Deep Learning are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce
Who are Start-Ups in the field of Deep Learning?
Start-Ups who are working in Deep Learning are Deep Learning Rental
Which industries are mostly working on Deep Learning?
The most represented industries which are working in Deep Learning are IT, Software and Services, Other, Education, Marketing Services, Consulting
How does ensun find these Deep Learning Companies?
ensun uses an advanced search and ranking system capable of sifting through millions of companies and hundreds of millions of products and services to identify suitable matches. This is achieved by leveraging cutting-edge technologies, including Artificial Intelligence.