At SciVision Centre of Excellence, our mission is to revolutionise the aircraft service and maintenance industry through innovative AI-driven infrastructure solutions. We aim to enhance safety and efficiency by implementing reliable predictive maintenance that anticipates maintenance needs before failures occur, ensuring that your fleet operates at peak performance and contributes to infrastructure longevity.
Leverage AI-driven infrastructure solutions to optimize maintenance schedules by utilizing vector databases with container technology, ensuring infrastructure longevity through reliable predictive maintenance.
The combined experience of the founders exceeds 60 years in the field of reliable predictive maintenance. Their expertise is pivotal in developing AI-driven infrastructure solutions that enhance infrastructure longevity. The founders are: 1. Prof. S. Gopalakrishnan (PhD, Purdue University, USA), Honorary Professor, Department of Aerospace
The combined experience of the founders exceeds 60 years in the field of reliable predictive maintenance. Their expertise is pivotal in developing AI-driven infrastructure solutions that enhance infrastructure longevity. The founders are: 1. Prof. S. Gopalakrishnan (PhD, Purdue University, USA), Honorary Professor, Department of Aerospace Engineering, IISc, Bangalore, India. 2. Dr. Somnath Nagendra (PhD, Virginia Tech, USA), Former Scientist at NASA, General Electric, Pratt & Whitney, and the Office of Naval Research, USA.
We have a very distinguished advisory team drawn from India and the USA, boasting a combined experience of over 300 years in delivering AI-driven infrastructure solutions that ensure infrastructure longevity and reliable predictive maintenance.
A comprehensive failure database, SAMIT, serves as an AI-driven infrastructure solution for the design, diagnosis, and prognosis of physical infrastructure. It features a user interface, CHAKRAVIDYA, which provides query-based answers to posed problems. The product boasts extensive visualization capabilities, including AR/VR functionaliti
A comprehensive failure database, SAMIT, serves as an AI-driven infrastructure solution for the design, diagnosis, and prognosis of physical infrastructure. It features a user interface, CHAKRAVIDYA, which provides query-based answers to posed problems. The product boasts extensive visualization capabilities, including AR/VR functionalities, facilitating reliable predictive maintenance and enhancing infrastructure longevity.