Our Founding Principles
Founded on Solid Compression Research
Founded by University of Waterloo professors, SlipStream Data's content acceleration solution is based on recent advancements in information theory and network architecture research. SlipStream has developed an accelerated bandwidth channel using this innovative data compression, data caching, and network optimization technologies.
Superior Patented Technology
SlipStream Data's core optimization solution incorporates proprietary lossless data compression technology that provides unequaled compression rates. The core algorithm is capable of compressing many types of data, and is particularly well suited to Web data. As a result, SlipStream has applied this technology to create the fastest Web and email acceleration solutions available on the market.
Forward Thinking Leadership
SlipStream’s vision is to build applications that leverage our powerful compression technology. We have become the defacto standard Web and email acceleration solution for service providers offering value-added services over dial-up and mobile networks. Our technology can also be applied to accelerate corporate information systems, delivering reliable and secure access to critical information. As our core technology and services evolve, there will be more products and services added to our portfolio.
Dr. En-hui Yang
Dr. Yang is an eminently recognized researcher in information theory and data compression. He is currently a Professor in the Department of Electrical & Computer Engineering at the University of Waterloo.
Dr. Yang's research interests lie in analysis of the optimal performance theoretically achievable in data storage and transmission; design and analysis of data compression algorithms for multimedia signals including text, speech, image, audio and video signals.
He is the winner of the Premier's Research Excellence Award. Dr. Yang also holds a Canada Research Chair position in Information Theory.
Dr. Ajit Singh
Dr. Singh specializes in the area of network-centric computing, parallel processing and distributed systems. Dr. Singh possesses over twenty years of industry and entrepreneurial experience. He is currently a Professor in the Department of Electrical & Computer Engineering at the University of Waterloo.
Dr. Singh's research interests include parallel computing using workstation clusters, simulations of networks of superscalar processors, debugging of parallel and distributed systems, performance debugging and visualization of parallel applications, and programming environments for developing large fault-tolerant distributed systems.