WHO WE ARE
Cyberinfrastructure Technologies is a sensing and communications company established in 2020 aiming to become a leading provider of essential internet infrastructure services and products to both the private and public sectors in the United States and abroad. We work aggressively to provide the highest strata of quality and are focused on forming value for our clients by providing specialized tools and capabilities to support an organization's information systems.
We understand the importance of an organization's IT infrastructure and have made it our mission to stay at the forefront of technological innovation. The growing size and sophistication of telecommunication networks drives us to develop novel signal processing methods and applications utilizing cutting-edge technologies in order to facilitate the accurate, efficient, and secure transmission of information.
Cyberinfrastructure Technologies supports organizations of all sizes. Whether you are a small business seeking the capability to safely repurpose an existing and public AI, a large company searching for ways to optimize dynamic systems and networks, a government agency looking to secure confidential information within complex systems, a regulator in need of knowledge as to how an AI operates, or anything in between: we are there to help.
Who We Work With
Our research partners enable us to solve some of the largest problems plaguing the internet ecosystem by connecting laboratories, data, computers, and people.
Bridging Clients and Solutions
Have a look at some of our products. Contact us for more information.
AIMSS facilitates safe transfer learning practices by giving users the means to analyze any given AI or ML system in an effort to find evidence of adversarial machine learning.
Using systems analysis in conjunction with our AI technology, AIMSS forces the subject AI/ML system to express a linear dynamic systems equation which is then tested for nonlinear relationships and behavior indicative of adversarial machine learning.
Like AIMSS, Seer uses systems analysis in conjunction with our AI technology to force AI/ML systems to express a linear dynamic systems equation and tests it for nonlinear relationships.
Unlike AIMSS, Seer repeats the testing process in order to generate a map of the subject AI/ML system's internal processes. Mapping of these complex, dynamic systems enables organizations to understand, debug, and optimize any AI/ML system given black-box access.
Unlike other signal processing techniques such as the Fast Fourier Transform (FFT1 and FFT2), SigScope does not assume signal linearity and stationarity.
This gives SigScope unique advantages when processing geometrical, biological, and geophysical signals. Currently, SigScope is being used to achieve affordable mass within the IoT by leveraging its ability to improve signal reception capability in RF communications.
use our technologies to improve