EXPLAINABLE COGNITIVE TECHNOLOGY: CLASSICAL AND QUANTUM ML FOR COMPLEX DATA
PRECISION MEDICINE REQUIRES THE INTEGRATION OF SEVERAL EXPENSIVE DATA SETS. THIS LEVEL OF COMPLEXITY IS NECESSARY SO THESE DATA SETS CAN BE SMALL. BIOTECH AND PHARMA COMPANIES RELY ON THESE DATA FOR THEIR INSIGHTS. OUR AUGMENTED INTELLIGENCE SYSTEMS CRACK OPEN PATIENT POPULATIONS INTO PRECISE SUBTYPES AND ACCELERATE DRUG PROGRAMS
Amplify Your Skills With Our Classical and Quantum Technologies
NETRAPLAY - WELCOME TO THE DATA MICROSCOPE
We provide a simple to use tool to explore data and unpack the 'black box'. Just move through different perspectives to reveal what is behind your data.
Quick Learning On Smaller Data
NetraAI learns quickly! Despite utilizing many modern ML methods, an innovation at the heart of this technology allows the system to extract actionable insights from small data.
This new machine learning method captures a multitude of perspectives from your data. With DeepCrush there is no black box. All variables that end up in a model, no matter how complex, can be revealed to the user.
Agile Machine Learning
At the heart of our system is a constantly changing process which adapts to data and doesn’t force decisions and conclusions.
At NetraPharma we provide solutions for pharmaceutical companies who are having issues, such as placebo response, with their clinical trials. We are also resurrecting failed drugs via our powerful Augmented Intelligence technology.
At Netra-IoT we are creating a new generation of technology that utilizes AI to optimize energy usage and to analyze vast smart-city networks for vulnerabilities that can impact security and reliability.
Dr. Joseph Geraci
Chief AI Officer and President
Dr. Joseph Geraci is a mathematician, medical scientist, and quantum machine learning specialist. He holds postdocs in machine learning, oncology, and psychiatry. He has developed novel algorithms for quantum computation and created two new approaches for machine learning, one of which is at the heart of the NetraAI system that is capable of providing extraordinary insights into complex data sets like those found in clinical trials.
Richard Brooks is a business lawyer and serial entrepreneur who has supported Canadian start-ups for over 20 years, providing founders with the business tools and resources to launch and operate successful start-ups throughout their life cycle from start-up to sale. Richard has had the luxury of working with some of Canada’s most innovative serial entrepreneurs from the outset of their businesses including www.xe.com, www.varicent.com, www.firmex.com, www.sitescout.comand www.cogsdale.com to name a few. Richard is the founding partner of Brooks Business Lawyers; a boutique business law firm located in Toronto and serves on numerous boards for non-profits and other charities.
Strategic Technology Advisor
A strategic technology thought leader with 21 years of experience involved in innovating and solving complex business issues through developing, delivering and managing enterprise level digital solutions. Experienced in the application of modern platforms including Cloud, Big Data, Machine Learning and IoT. Acts in a technology advisory capacity to several organizations including startups, incubators, non profits and SMB’s. Attended the University of Toronto with a Bachelor of Science double major in Mathematics and Computer Science… and minor in Philosophy. Co-author of Fusion Middleware Patterns and regular technology speaker.
Jalal’s bittersweet struggle with computer science began with printing “Hello World”, and continues today with debugging his own occasionally uncommented code. He graduated with honours from Ryerson University with a Bachelor of Science degree in Computer Science. Jalal is currently working with artificial intelligence, and more specifically, developing machine learning based applications. Telling a machine exactly what to do is one thing, but he is thrilled about teaching it to do magic on its own. At NetraMark Corp, he is currently creating ‘magic’ as a member of the development team, who are working with machine learning algorithms, as well as unique methods that lie at the powerful core of NetraMark suite.
Machine Learning Specialist
Shashibushan holds double master's degree in electrical and computer engineering from the university of Windsor. He earned a specialization in computer vision and machine learning. His research areas include data integration from multiple sensors e.g., cameras, laser scanners, and GPS for Autonomous vehicles. This provides the NetraMark team with the ability to fuse together and understand data from different modalities including imaging, genetic, proteomic, clinical scales, miRNA, epigenetics, and beyond. He has built production level software using deep learning/AI for level 3 self-driving cars and proof of concepts for facial expression recognition, multi object detection, and tracking. In addition to these accomplishments, Mr. Yenkanchi also has experience with a broad range of machine learning techniques and has contributed towards the development of online course content, e.g., "Deep learning with Tensorflow" hosted by IBM's Cognitive Class which has over 500k registered students globally.
Mr. Wong is a mathematician who provides the fuel for the innovative spark that drives NetraMark's continuously evolving technology. Not only does he have a firm grasp of several areas of pure mathematics including algebraic geometry, category theory, and analysis but he has many years of experience with statistical programming. Bernard's rigor and imagination is characteristic of how we view the future of machine learning and AI: an evolving field of which we have only scratched the surface.
Chief Software Architect
Mr. Dowla has 15 years of international experience in innovation, technology and cloud strategy. He has consulted and provided strategic solutions to fortune 500 companies, both in the United States and Canada. He utilized this knowledge and experience to create an Agile and Cloud platform that enables data heavy businesses to quickly take off remain nimble enough to adapt to change with unprecedented efficiency. His specialties include data processing in real estate solutions, cross-platform solution architectures, IoT, smart and digital building platforms, and machine learning.