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Hill Technical Sales Corp
Arlington Heights, United States
B
11-50 Employees
1966
Key takeaway
Hill Technical Sales is a technologically innovative manufacturer that specializes in high power and imaging applications, offering quality components, including transformers. Their application specialists assist engineers in product design, ensuring a deep understanding of power conversion and conditioning components.
Reference
Product
Transformer Experts
Altran Corporation
-
1-10 Employees
-
Key takeaway
The company specializes in providing superior and high-quality custom electronic transformers and inductors, catering to both small prototype quantities and high-volume production. With advanced manufacturing capabilities, they ensure precision and tight tolerances in their transformer production.
Reference
Product
» Custom Transformers
MTM Power® Messtechnik Mellenbach GmbH
Schwarzatal, Germany
A
51-100 Employees
1991
Key takeaway
MTM Power has over 30 years of experience in developing and manufacturing transformers for various applications, emphasizing top product quality and customer care. Their expertise in coil technology and commitment to innovation ensure that they deliver high-quality transformer solutions tailored to customer needs.
Reference
Product
Transformers
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Power Control
Sheffield, United Kingdom
A
51-100 Employees
1994
Key takeaway
The company, Borri Ltd., specializes in uninterruptible power solutions and has a history of delivering transformer-based systems, including the T2000 and T2003 UPS series. With nearly 30 years of experience and partnerships with leading manufacturers, they provide technical support and maintenance for these systems.
Reference
Product
Transformer Based
Specialtrasfo S.p.A.
Agrate Brianza, Italy
B
51-100 Employees
2000
Key takeaway
The company, Specialtrasfo, has a long history in the engineering and manufacturing of custom-designed power transformers, having evolved from a Milan-based transformer company founded in 1946. With extensive experience in both dry-type and liquid-filled transformers, Specialtrasfo has established itself as a premium supplier in the industry.
Reference
Product
Converter Transformers - Specialtrasfo
STPower Switchboard
Vietnam
D
251-500 Employees
2015
Key takeaway
STPower is a leading company in the production of various types of transformers, showcasing its commitment to high-quality products. With a modern manufacturing facility and exclusive partnership with ABB, STPower ensures a diverse range of electrical equipment.
Reference
Product
Transformers
American Precision Industries Inc.
East Aurora, United States
B
51-100 Employees
1986
Key takeaway
Delevan specializes in coil winding and resolver technologies, emphasizing high reliability products, which are crucial in sectors like Aerospace and Defense. Their expertise extends to applications in oil and gas production systems, including transformers.
Reference
Product
Transformers
MGM Electric Ltd.
Canada
A
11-50 Employees
1987
Key takeaway
The company highlights its capability to offer customized electrical solutions, making it easy for customers to purchase transformers.
Reference
Product
Transformers
BEZ TRANSFORMATORY S.A. Oddział w Polsce Sp. z o.o.
Warsaw, Poland
B
1-10 Employees
2021
Key takeaway
The company has a long history of manufacturing over 230,000 transformers, many of which continue to operate flawlessly today. Their extensive expertise and advanced manufacturing processes enable them to deliver high-quality, tailor-made transformers that meet specific customer requirements.
Reference
Product
Special transformers
Special transformers
CUSTOM TRANSFORMERS LIMITED
Malmesbury, United Kingdom
A
11-50 Employees
1972
Key takeaway
Custom Transformers Ltd specializes in the design and manufacture of electrical transformers, offering custom transformer designs tailored to meet specific requirements. Their commitment to quality and effective service ensures that they can cater to all customers, regardless of size.
Reference
Product
Products - Custom Transformers
Technologies which have been searched by others and may be interesting for you:
In technology, a transformer refers to a type of neural network architecture primarily used in natural language processing (NLP) tasks. This model leverages self-attention mechanisms to process input data in parallel, allowing it to capture contextual relationships more effectively than traditional recurrent neural networks (RNNs). Transformers have revolutionized the field by enabling significant improvements in tasks such as text translation, summarization, and sentiment analysis. Their ability to handle long-range dependencies and scale efficiently makes them a preferred choice for various applications, particularly in large language models like GPT and BERT.
In machine learning, a Transformer is a model architecture designed for processing sequential data, particularly effective in natural language processing tasks. It utilizes a mechanism called self-attention, which allows the model to weigh the importance of different words in a sentence, regardless of their position. This capability enables the Transformer to capture contextual relationships more effectively than previous models, such as RNNs and LSTMs. Transformers consist of layers of encoders and decoders. The encoder processes the input data, converting it into a set of continuous representations, while the decoder generates the output sequence from these representations. Each layer in the encoder and decoder has its own self-attention and feed-forward networks, allowing the model to learn complex dependencies. This architecture leads to improved performance on tasks like translation, summarization, and text generation, making Transformers a foundational technology in modern machine learning applications.
Transformer models have revolutionized various fields within artificial intelligence and machine learning. They are primarily used in natural language processing (NLP) tasks such as machine translation, where they convert text from one language to another with high accuracy. Additionally, sentiment analysis benefits from Transformers, as they can understand and interpret emotions in text data effectively. In the realm of computer vision, Transformers are now being applied to image recognition and segmentation. They facilitate tasks like object detection and image captioning by processing visual data similarly to text. Moreover, Transformers are also making strides in audio processing, particularly in speech recognition and generation, showcasing their versatility across multiple domains.
Transformers play a crucial role in natural language processing (NLP) due to their ability to handle sequential data effectively. They utilize a mechanism called self-attention, which allows the model to weigh the importance of different words in a sentence, regardless of their position. This capability enables the processing of long-range dependencies within text, leading to improved understanding of context and semantics. Additionally, Transformers can be trained on vast amounts of data, resulting in models that can generate coherent and contextually relevant responses. Their architecture supports parallelization, making them efficient for training on powerful hardware, which further enhances their performance in various NLP tasks such as translation, summarization, and sentiment analysis.
1. Enhanced Performance
Transformers significantly improve the performance of natural language processing tasks. They facilitate better understanding of context, allowing for more accurate and coherent text generation and comprehension.
2. Scalability
These models are highly scalable, enabling the processing of large datasets efficiently. As the amount of training data increases, Transformers can leverage their architecture to enhance learning and generalization.
3. Parallel Processing
Transformers employ self-attention mechanisms, which allow for parallel processing of data. This leads to faster training times compared to sequential models, making them more efficient for complex AI applications.
4. Versatility
Transformers can be applied to various tasks beyond text, including image processing and speech recognition. This versatility makes them a valuable tool in the AI development toolkit.
Some interesting numbers and facts about your company results for Transformer
| Country with most fitting companies | United States |
| Amount of fitting manufacturers | 3205 |
| Amount of suitable service providers | 2578 |
| Average amount of employees | 51-100 |
| Oldest suiting company | 1966 |
| Youngest suiting company | 2021 |
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Some interesting questions that has been asked about the results you have just received for Transformer
What are related technologies to Transformer?
Based on our calculations related technologies to Transformer are Magnets, Printed Electronics, Industrial Amplifiers, Electronic Transducers, Electronic Oscillators
Who are Start-Ups in the field of Transformer?
Start-Ups who are working in Transformer are BEZ TRANSFORMATORY S.A. Oddział w Polsce Sp. z o.o.
Which industries are mostly working on Transformer?
The most represented industries which are working in Transformer are Electronics and Electrical engineering, Other, IT, Software and Services, Oil, Energy and Gas, Manufacturing
How does ensun find these Transformer Manufacturers?
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.
