ENHANCING SENSING CAPABILITIES
By utilizing the power of AI, we design and develop scalable, innovative, high-tech solutions for the Aerospace and Defense industries.
At SOTIRIA Technology, we believe that what makes AI unique is its ability to leverage software functions created through a machine learning process rather than traditional programming. The critical element is that it uses data rather than source code.
We also believe that the performance of an AI application is shaped by the data used to train the application. All our technology solutions are shaped based on this principle.
Teaching a computer to learn from data without using a predefined set of rules
The power of Machine Learning, a subset of AI, lies in its ability to perform a specific set of classification, clustering, and regression tasks.
A power that enables our solutions to execute sensing data analysis and Intelligence, Surveillance and Reconnaissance (ISR) tasks more accurately, more efficiently, and at a higher computational velocity.
DEEP NEURAL NETWORKS
A Machine Learning technique inspired by our brain's own network of neurons
At SOTIRIA Technology, we utilize tailored Deep Neural Networks architectures, such as RNN, CNN, and Autoencoders, to unlock new information in problems including time series, image, and signal denoising processing.
Utilizing Signal Processing techniques for the analysis of sensing data
Through techniques such as Signal
Decomposition and Modulation, we analyze acoustic and magnetic data sets.
At SOTIRIA Technology we combine
signal processing techniques with Machine Learning algorithms to further
enhance the accuracy of our solutions.
THE POWER OF SOTIRIA TECHNOLOGY AI
Augmenting sensing capabilities
Detecting beyond the sensing range of legacy equipment.
Unlocking new information
Identifying unknown patterns and unlocking new opportunities.
Partnering with end-users and providing tailored, personalized guidance.
WHY TRUST US
Tailored, revolutionary AI technology
Maritime and underwater domain expertise
Strong technical team with more than 60% Ph.D. and c.Ph.D. profiles
International partners network