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Luxembourg, Luxembourg
1-10 Employees
2016
Zetako is a company dedicated to lossless data compression. Our goal is to bring a brand new and more effective technology to market that can deal with the exponential increase in data production and traffic in a high speed and energy efficient way. We are in a position to be the standard data compression of the future. Create and develop innovative algorithms that brings new theory to final application & product which is focused on today's deep technological problems. Our product is using less resources than the current existing compression technologies which results in a significant reduction of electricity needs, therefore helping to preserve the environment. Smaller Files: Smaller storage requirements + Faster transmission speeds over the internet + Increased bandwidth capacity.
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lossless data compression
... data compression ...
Turku, Finland
11-50 Employees
2001
Gurulogic Microsystems is a story of what happens when a great discovery meets business and talent. In 2001, young programmer Tuomas Kärkkäinen was looking new job opportunities. Around the same time, an accomplished businessman Heikki Salmela, also known as the founder of a multi-national fast food chain Hesburger, was looking into providing office spaces for local start-ups. Kärkkäinen happened to approach him at the exact right time – more specifically right after he hung up the phone trying to find someone to help his business with IT issues – and the two clicked immediately. A couple of months later Gurulogic Microsystems was born and Kärkkäinen began developing surveillance solutions for Hesburger restaurants.
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Looking for a simple, high-quality data compression method?
... Looking for a simple, high-quality data compression method? ...
Dartford, United Kingdom
1-10 Employees
2020
We are a UK based company providing cloud solutions underpinned by our proprietary compression technology across sectors like health, education and broadcasting. We are rapidly expanding across the globe and currently operating in United Kingdom, South Africa, Italy, Egypt, Sri Lanka and Australia.
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Data Compression
... Data Compression ...
Kharkiv, Ukraine
1-10 Employees
2018
NADC tech provides compressed files with high level privacy protection. NADC techs are based on own mathematical tools and have strong scientific validation. Each member of NADC team has a combination of excellent software development & science skills, which provides creating high quality products. NADC started as PhD research in pure mathematics. Files, which are processed using NADC, remain protected even if hackers get access to them and have NADC technology. Its main product is unique data protection & compression technology implemented as SDK.
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New Age Data Protection & Compression Technologies
... New Age Data Protection & Compression ...
Vancouver, Canada
1-10 Employees
2018
The team behind Metaspectral began their startup journey as the creators of PixelDrive, a cloud storage platform that compressed and optimized any uploaded photo. Metaspectral builds on years of in-house research in spectral data compression capability, as well as numerous work by organizations such as the MPEG consortium and the Consultative Committee for Space Data Systems (CCSDS). Metaspectral's Fusion platform makes it a breeze to run AI models on hyperspectral or multispectral data and gain actionable insights. Based in gorgeous Vancouver, BC, we are a tight-knit team pushing the boundaries of Computer Vision. After receiving the title of “real-life Pied Piper” by NVIDIA, Metaspectral was approached by Defense and Space industries searching for efficient compression solutions for multispectral and hyperspectral data, and the foundations of Metaspectral were laid. Detect the invisible in real-time with AI-powered hyperspectral data analysis usingMetaspectral’s Fusion platform. Hyperspectral imagery provides the highest dimensional way of seeing. Our technology is built from the ground-up to process and analyze vast amounts of hyperspectral data in real-time.
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Technology - Metaspectral
... Advanced Data Compression and ...
New York, United States
101-250 Employees
1982
Established in 1982 Software Engineering of America has built a worldwide reputation as a leading provider of data center software solutions. With products licensed at over 10,000 data centers worldwide (partial user list) SEA's customers include 9 of the Fortune 10 and over 90% of the Fortune 500 Companies. We have thrived since inception, enhancing and strategically expanding our entire product line to meet the dynamic needs of the automated workplace. In selecting our solutions, users can be confident that our Product Development Teams are continually working to create product enhancements based on user input. These activities are all geared towards improving the depth of our already impressive product line. These diligent efforts to broaden the scope of our product line have facilitated continued growth in our licensed user base, with products now licensed in over 50 countries. SEA's product line provides the broadest range of functionality available from any one software provider. To maximize customer satisfaction, we will not acquire any product without a firm commitment from the original development team to remain with that product throughout its life cycle.
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Data Compression & Encryption
... provides high-speed IBM i data compression and encryption of IBM i objects and files at high-speed to save space and reduce file transfer time. ...
Berlin, Germany
2004
BeST SENSOR provides you with a broad range of sensor technologies. BeST SENSOR can support you in all stages of product development, from brainstorming and prototyping to mass production. Noise is reduced, data compression provides speed and pattern recognition delivers conclusive outcomes for you.
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SOFTWARE | BeST Berliner Sensortechnik
... Noise is reduced, data compression provides speed and pattern recognition delivers conclusive outcomes. ...
Gif-sur-Yvette, France
1-10 Employees
2021
Notre offre est de fournir du conseil, du développement informatique, de l’assistance et des produits pour sécuriser votre système informatique et votre réseau de communications.
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Data Compression & Transfer
... Data Compression & Transfer – SMART & ...
Cambridge, United Kingdom
1-10 Employees
2015
PetaGene started as a small hint of an idea: that a team of Cambridge University PhDs could together devise a novel approach to the problem of genomic data storage. Through “Project PetaGene,” a collaboration with the Stegle Group at EMBL-EBI, we researched how to compress huge amounts of genomic data—without compromising data quality. Three years later, PetaGene is much more than a research project. Our products reduce the footprint of genomic datasets in FASTQ and BAM by up to 6x while preserving genotyping accuracy and reducing hardware storage costs. PetaGene decreases the size of genomic data, reducing storage costs and data transfer times by between 60% and 90% without compromising data quality. PetaGene has won “Best of Show” at Bio-IT World, the premier conference for IT in the Life Sciences, three times. The PetaGene team were responsive to our needs, including managing the demands of using IGV to efficiently access the compressed data via Apache server without decompressing the data first.”. PetaGene’s solutions allow us to easily store, use and visualise the sequencing data at a fraction of the cost.”.
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Genomic data compression and encryption - PetaSuite
... Manage your genomic data with lossless compression and encryption. ...
Technologies which have been searched by others and may be interesting for you:
Some interesting numbers and facts about the results you have just received for Data Compression
| Country with most fitting companies | United States |
| Amount of fitting manufacturers | 88 |
| Amount of suitable service providers | 55 |
| Average amount of employees | 1-10 |
| Oldest suiting company | 1982 |
| Youngest suiting company | 2021 |
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Data compression refers to the process of reducing the size of a data file or a data stream to save storage space or transmission time, achieved through the encoding of information using fewer bits than the original representation. This process is paramount in fields such as telecommunications, computing, and digital media, where it enhances efficiency and cost-effectiveness by enabling faster data transmission rates and reducing storage requirements. There are two primary types of data compression: lossless and lossy. Lossless compression allows for the original data to be perfectly reconstructed from the compressed data, making it ideal for applications such as text documents and executable files where data integrity is crucial. Lossy compression, on the other hand, results in some loss of information but achieves higher compression rates, making it suitable for applications where a perfect reproduction of the original data is not necessary, such as streaming audio and video. The impact of data compression is profound, facilitating the storage of large datasets, accelerating the loading times of websites and applications, and making the streaming of high-definition audio and video content feasible even with bandwidth constraints. Moreover, data compression technologies continuously evolve, driven by the increasing demand for more efficient and effective methods to manage the exponential growth of data in the digital age.
1. Reduced Storage Requirements:
Data compression significantly decreases the amount of space needed to store information. By compacting data, it allows for more efficient use of storage devices, leading to cost savings and the ability to store additional data in the same physical space.
2. Improved Transmission Speed:
Compressing data accelerates the time it takes to transmit information over networks. This is particularly beneficial in environments where bandwidth is limited or expensive, as it enables quicker data transfer rates and reduces the load on network resources.
3. Cost Efficiency:
By minimizing the size of data files, compression helps in reducing costs associated with data storage and transmission. This includes lower expenditure on physical storage devices, and potentially reduced charges for data transmission over the internet or other networks.
4. Enhanced Performance:
In many applications, compressed data can improve system performance. For instance, compressed web content can be delivered and rendered faster, enhancing the user experience on websites and web applications.
5. Environmental Benefits:
By requiring less physical storage and reducing the energy consumption associated with data management, data compression contributes to a lower environmental footprint. This is increasingly important as the world looks for ways to combat climate change and reduce energy use.
While evaluating the different suppliers make sure to check the following criteria:
1. Compression Efficiency
Evaluate the ratio of data reduction the supplier's technology can achieve, ensuring it meets your specific needs without compromising the integrity of the original data.
2. Speed of Compression and Decompression
Consider the speed at which the supplier's solution can compress and decompress data, as this can significantly impact your application's performance and user experience.
3. Compatibility
Ensure the supplier's compression technology is compatible with your existing systems and data formats to avoid additional costs or integration issues.
4. Security
Assess the security measures in place to protect compressed data, including encryption and access controls, to safeguard sensitive information.
5. Cost
Compare the pricing models of different suppliers, looking for transparent costs that fit within your budget without compromising on quality or performance.
6. Support and Maintenance
Look for suppliers who offer comprehensive support and maintenance services to assist with any technical challenges that may arise during the use of their compression solutions.
7. Scalability
Ensure the supplier's solution can scale with your data needs, supporting both current and future data volumes and types without significant performance degradation.
8. Innovation and Future-proofing
Consider the supplier's track record for innovation and their approach to future-proofing their technology. This can be crucial for adapting to evolving data compression standards and requirements.
Data compression plays a pivotal role in enhancing efficiency and reducing costs across various industries, serving as a cornerstone for B2B operations. In the telecommunications sector, data compression is indispensable for optimizing network bandwidth and enhancing data transmission speeds. By minimizing the size of the data transmitted over networks, telecom companies can offer faster, more reliable services to business clients, ensuring seamless communication and collaboration. In the cloud computing industry, data compression is crucial for managing storage and improving data transfer rates between cloud services and clients. By compressing data, cloud service providers can significantly reduce storage costs and enable quicker access to data, facilitating efficient cloud storage solutions for businesses of all sizes. This efficiency is particularly beneficial for companies relying heavily on cloud services for data analytics, storage, and backup solutions. Furthermore, in the realm of video conferencing and streaming services, data compression is essential for delivering high-quality video content with minimal latency. Businesses leveraging these services for internal communications or customer interactions depend on compression techniques to ensure smooth, uninterrupted video streams. This use case underscores the importance of data compression in maintaining high standards of communication and engagement in a digital-first business environment. Overall, data compression's ability to optimize data transmission, storage, and access is invaluable across telecommunications, cloud computing, and video streaming industries, underscoring its critical role in the digital infrastructure supporting modern businesses.
Data compression technology, a crucial technique for reducing the size of data files to save storage space and speed up transmission over networks, has achieved a high level of maturity, situating itself at Technology Readiness Level 9 (TRL 9). This classification is attributed to the extensive deployment and integration of data compression algorithms and techniques across various sectors, including telecommunications, digital media, and data storage solutions. The reason for its placement at TRL 9 stems from the technical advancements and optimizations that have been realized over years of research and development. Algorithms such as Huffman coding, Lempel-Ziv-Welch (LZW), and more advanced ones like JPEG for images, MPEG for videos, and MP3 for audio files, have undergone rigorous testing, validation, and are now widely applied in commercial products and systems. These compression techniques have proven to be highly effective in reducing file sizes significantly while maintaining acceptable levels of data integrity and quality. The success and reliability of these methods in real-world applications demonstrate the maturity of data compression technology, reflecting its comprehensive validation in relevant environments and its status as fully functional and operational at scale. This culmination of widespread adoption and proven effectiveness in diverse and demanding operational settings underpins the assignment of TRL 9 to data compression technology.
In the Short-Term, we anticipate improvements in lossless compression algorithms, particularly in real-time applications such as video conferencing and live streaming. Enhanced compression techniques will likely leverage machine learning to better predict and eliminate redundancy without loss of quality. This will lead to more efficient use of bandwidth and storage, crucial for the growing demands of 4K streaming and IoT devices. Mid-Term developments are expected to focus on the integration of quantum computing with data compression. Quantum algorithms have the potential to significantly outperform classical compression methods, especially in complex data sets like genomic data or high-resolution multimedia. As quantum computing becomes more accessible, these advancements could revolutionize how we store and transmit data, offering unprecedented compression rates while maintaining or even improving data integrity. In the Long-Term, the frontier of data compression might move towards leveraging advancements in nanotechnology and molecular computing for data storage and compression at the atomic level. This could lead to the development of ultra-high-density storage media and algorithms that can dynamically adjust compression strategies based on data type and usage patterns. Such technologies would not only massively increase storage capacities but also reduce energy consumption and the physical space required for data storage infrastructure.
Some interesting questions that has been asked about the results you have just received for Data Compression
What are related technologies to Data Compression?
Based on our calculations related technologies to Data Compression are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce
Who are Start-Ups in the field of Data Compression?
Which industries are mostly working on Data Compression?
The most represented industries which are working in Data Compression are Information Technology, Software, Hardware, Manufacturing, Science and Engineering
How does ensun find these Data Compression 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.
