Our Approach
The entire premise of machine learning and deep learning is based on the fact that machines can be taught to think and act like humans with adequate training. Identifying and preparing the right data comes with experience. Our research and development team is always on the bleeding edge of machine learning research, especially when it comes to Deep Learning.
Our Story
We formed Crannium Health AI in 2018 with a single vision. Utilize Artificial Intelligence to help save lives. Our goal is to apply the immense research that is happening in the area of AI, computer vision in particular to solve real-world problems in healthcare.
Our Team
The Crannium Health AI team is comprised of scientists, clinicians, and engineers who are adept at both academic research as well as its application to healthcare. The primary goal of our business is to not only perform cutting edge research, but also to harness the power of AI to solve critical problems in healthcare.
Raj Anantharaman
Founder & CEO
Raj is a serial entrepreneur, and a deep learning scientist specializing in utilizing computer vision for healthcare applications and beyond. He leads the Crannium Health AI executive team and the product management team.
Pranav Vajapeyam
Chief Operating Officer
Pranav has been involved with healthcare product development and operations both in software and medical device domains. He has a deep understanding of medical imaging and healthcare technology. He brings his experience and business acumen to Crannium.
Anwika Bhandary
Deep Learning Researcher
Anwika’s keen interest in Medical Imaging and her educational background of computer science help her in developing state of the art Healthcare imaging solution. Her passion to combine the latest Technology with Medical imaging helps in ideating and building effective and efficient solutions.
Rakshith G B
Consulting Architect
Rakshith being an AI and ML scientist, has worked on multiple projects incharge of Research and Development of AI algorithms and implementation of AI and ML in new areas and
industries. Rakshith’s work focuses on building new AI models for specific applications.
Dr. Swapna DV
Assoc. Professor & Advisor
Dr. Swapna, an Associate Professor in Dayanand Sagar college of Dental Sciences specializes in Aesthetic dentistry, Endodontics, diagnosis of dental diseases, and preventive treatment. She has authored 25 publications in various national and international journals. Dr. Swapna has been an advisor to 9 post graduate students.
Raveesh Nandakumar
Chief Technology Officer
Raveesh has been at the helm of multiple AI and ML development teams. His understanding of the latest technologies help him in building cutting edge AI and ML algorithms and combining them algorithms with world class UI which make the user experience flawless.
Matt Velazquez
Consulting Scientist
Matt is a deep learning scientist specializing in healthcare applications. His current focus is on the early detection of Alzheimers in the prodromal stage utilizing Diffusion Tensor Imaging (DTI) and Deep Learning. Matt is currently pursuing a PhD in Computer Science and biomedical informatics.
Rajesh Kumar
Solution Architect
Rajesh is a qualified data scientist and a well versed full stack developer. This
combination helps him develop applications and solutions which are data reliant and requires
data management techniques. Rajesh has been instrumental in developing BonsAI.
Dr. Vidya Anantharaman
Clinical Advisor
Dr. Anantharaman, BDS MPH is a trained dentist, who currently works as an Associate Consultant in outpatient Medication Process at Cerner. She is a champion for health equity and education. She is passionate about dental-medical integration and blogs at dentalpublichealth.org.
Dr. Ranjini
Asst. Professor and Advisor
Dr. Ranjini, an Asst. Professor in Dayanand Sagar college of Dental Sciences specializes in Aesthetic dentistry & Endodontics. She has authored 16 publications in various national and international journals. Dr. Ranjini, an ardent clinician, has been a guest speaker, and a consultant specialist.