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Future Learning - Deep Learning Sessions
Nes Ziona, Israel
B
11-50 Employees
2017
Key takeaway
The company offers an intensive 8-week training program designed to launch careers in Deep Learning, emphasizing how AI is transforming business. With a focus on machine learning for experienced engineers, the program has successfully integrated over 50 alumni as Deep Learning engineers in the market.
Reference
Core business
Future Learning
DSP-IP
Netanya, Israel
B
1-10 Employees
2004
Key takeaway
DSP-IP specializes in deep learning, offering solutions that include algorithms, code, and production software, particularly focused on development using NVIDIA's GPU technology.
Reference
Core business
Homepage - DSP-IP
cnvrg.io
Jerusalem, Israel
B
11-50 Employees
2016
Key takeaway
The company, cnvrg.io, offers a data science platform that enables developers to rapidly build and deploy machine learning pipelines, facilitating the development of intelligent systems. Their tools support various environments and provide real-time metrics visualization, which can enhance deep learning projects.
Reference
Product
Data Science Platform For Software Developers
Accelerate any AI development, from churn prediction to autonomous driving with cnvrg.io
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CoreAI
Ramat Gan, Israel
B
1-10 Employees
2018
Key takeaway
CoreAI specializes in machine and deep learning, developing tailored AI strategies that leverage their algorithmic expertise to create highly effective AI models. Their approach focuses on making AI accessible and delivering superior results efficiently, addressing various business questions through data-centric solutions.
Reference
Core business
CoreAI | Machine & Deep Learning Services | Artificial intelligence
We are problem-busters!!! A team of experts in machine/deep learning and AI. We have developed an algorithmic engine that guarantees better results within a shorter research time, with fewer server expenses. Building AI paradigms customized to your needs to train yourself.
Deep Learning Robotics
Ashdod, Israel
B
1-10 Employees
2015
Key takeaway
DLRob is an innovative software solution that enhances robotics through advanced visual technology, allowing robots to learn by observing human actions. This capability enables efficient training and configuration of robots for various tasks, making robotics more accessible for operations with high mix.
Reference
Core business
Home | DeepLearningRobotics
Deci AI
Tel-Aviv, Israel
B
11-50 Employees
2019
Key takeaway
Deci offers a comprehensive Deep Learning Development Platform that enables developers to train and deploy models rapidly, enhancing inference performance on both edge and cloud environments. With features designed to optimize deep learning models and integrate seamlessly with existing MLOps workflows, Deci empowers users to accelerate their journey from data to production-ready models.
Reference
Core business
The Deep Learning Development Platform | Deci
Deci empowers deep learning developers to accelerate inference on edge or cloud, reach production faster, and maximize hardware potential.
Tensorleap
Tel-Aviv, Israel
B
1-10 Employees
2020
Key takeaway
Tensorleap is dedicated to enhancing the understanding and reliability of deep learning through its unique debugging and explainability platform for neural networks. By increasing transparency in model development, Tensorleap empowers data scientists to build and deploy more reliable deep learning models, significantly reducing the risks associated with production failures.
Reference
Core business
Company - Tensorleap
Build Neural Networks with Confidence Tensorleap is on a mission to make deep learning more understandable, accessible, and most importantly – reliable. By bringing transparency to neural networks, we boost data scientists’ confidence that the models they build will perform reliably in production. We’re proud to be the first company to take the lid off the […]
3DFY.ai
Haifa, Israel
B
1-10 Employees
2019
Key takeaway
3DFY.ai leverages artificial intelligence to rapidly produce high-quality 3D models from text prompts or single images, showcasing its innovative technology that could be enhanced by deep learning techniques.
Reference
Product
Technology – 3DFY.ai
3DFY.ai uses artificial intelligence to create high-quality 3D models from just a text prompt or as little as a single image. Now anyone can quickly create compelling 3D assets for their industry at scale.
DeepDense Medical
Haifa, Israel
B
1-10 Employees
2020
Key takeaway
DeepDense Medical focuses on developing innovative AI applications for medical imaging, including unique visualization and editing tools that enhance existing products. Their mission is to reduce healthcare costs and improve patient care through advanced computational methods, which aligns with the growing importance of deep learning in enhancing image analysis and quality.
Reference
Service
consulting | DeepDense LTD
HI4AI
Tel-Aviv, Israel
B
1001-5000 Employees
2020
Key takeaway
HI4.AI is an AI agency that offers a comprehensive range of services, including data modeling and management, which are essential for developing and deploying deep learning models. They leverage advanced AI technologies like computer vision and natural language processing to enhance AI capabilities and provide expert analysis on industry developments.
Reference
Service
Services – hi4.ai
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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.
Israel's deep learning industry is marked by several key considerations for those interested in pursuing opportunities within this dynamic field. The country's robust tech ecosystem, bolstered by significant investment in research and development, fosters innovation and collaboration among startups and established companies. Regulatory frameworks are generally supportive, but staying informed about data privacy laws, such as the Israeli Privacy Protection Law, is crucial, especially given the data-intensive nature of deep learning applications. Challenges in this sector include a competitive talent market, with a high demand for skilled professionals leading to potential recruitment difficulties. However, this competition also drives continuous advancements and improvements in technology. The environmental impact of AI technologies is gaining attention, prompting companies to adopt sustainable practices in their operations. Networking is essential, as Israel's deep learning community thrives on collaboration and partnerships, often facilitated by meetups and conferences. The global market relevance of deep learning technologies is significant, with applications spanning various industries like healthcare, finance, and autonomous vehicles. By understanding these factors, individuals can better navigate the opportunities and challenges within Israel's deep learning landscape, positioning themselves for success in this burgeoning industry.
Some interesting numbers and facts about your company results for Deep Learning
| Country with most fitting companies | Israel |
| Amount of fitting manufacturers | 153 |
| Amount of suitable service providers | 70 |
| Average amount of employees | 1-10 |
| Oldest suiting company | 2004 |
| Youngest suiting company | 2020 |
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
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, Finance and Insurance, Healthcare
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.