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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
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
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
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xForm Solutions
Bengaluru, India
D
11-50 Employees
2020
Key takeaway
xForm Insights offers a comprehensive flow documentation for managing your workloads, which could be particularly useful when working with various products and plug-ins. You can create a personalized workspace to streamline the conversion process of your assets.
Reference
Core business
xform
Trasfor SA
Tresa, Switzerland
A
251-500 Employees
1967
Key takeaway
Trasfor specializes in the manufacturing of transformers and inductors for various industrial applications, boasting over 45 years of experience and a commitment to high standards of integrity. Their focus on research and design has established Trasfor as a leader in custom-built dry-type transformers and reactors.
Reference
Core business
Trasfor - Homepage
Trasfor
Placanica, Italy
B
251-500 Employees
1967
Key takeaway
Trasfor specializes in the manufacturing of transformers and inductors for various industrial applications, boasting over 45 years of experience and a commitment to high standards of integrity. Their focus on research and design has established them as a leader in the industry, particularly in the development of custom-built dry-type transformers and reactors.
Reference
Core business
Trasfor - Homepage
Data Transformers Inc.
Houston, United States
B
51-100 Employees
2021
Key takeaway
Data Transformers Inc. provides an advanced enterprise AI platform that automates the entire process of building and deploying artificial intelligence and machine learning. Their mission is to ensure that artificial general intelligence benefits all of humanity, making their services highly relevant for those interested in transformative AI solutions.
Reference
Core business
Data Transformers
TRANSFRM
Guildford, United Kingdom
A
1-10 Employees
2017
Key takeaway
Transfrm acts as a bridge between your executive, operations, delivery functions, and Salesforce/Dynamics 365 partners, ensuring clear communication and collaboration among all parties. With over 20 years of experience in delivering technology change programs, the company emphasizes accountability and teamwork.
Reference
Service
Services | Transfrm
Transtron Electricals Pvt Ltd
India
D
51-100 Employees
1998
Key takeaway
Transtron is a manufacturer of a complete range of transformers, offering products up to 15,000 KVA and 37.5 KV Class. The company emphasizes quality, performance, and efficiency, supported by state-of-the-art manufacturing facilities that ensure superior performance and reduced energy losses.
Reference
Core business
Transtron Transforming Energy Efficiently
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
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 | 2900 |
| Amount of suitable service providers | 2586 |
| Average amount of employees | 51-100 |
| Oldest suiting company | 1967 |
| 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 xForm Solutions, 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 IT, Software and Services, Other, Electronics and Electrical engineering, Logistics, Supply Chain and Transportation, Oil, Energy and Gas
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.
