Noze
Abhilash Ravishankar has a diverse work experience in the technical and product management field. Abhilash is currently working as a Technical Product Manager at Noze since September 2022. Prior to that, they worked at Instron India from 2013 to 2022, where they held multiple roles including Product Manager, Application Engineer, and Product Engineer. Abhilash also worked as a Graduate Research Trainee at Concordia University from 2011 to 2012, where they conducted research on microfabrication and bio-sensing applications. Abhilash started their career at the Indian Institute of Science as a Research Assistant at the Nanotribology Laboratory, where they gained experience in design, fabrication, and development of tribological systems.
Abhilash Ravishankar's education history begins with their enrollment at VIdya Vardhaka Sangha High School from 2000 to 2002, where no specific degree or field of study is mentioned. Abhilash then attended MES PU College from 2002 to 2004, where they completed their Pre-University education in the field of science. From 2004 to 2008, Abhilash pursued a Bachelor of Engineering (B.E.) in Mechanical Engineering at Nagarjuna College of Engineering and Technology. Finally, they went on to complete their Master of Technology (MTech) in Energy Engineering from Jain University between the years 2010 and 2012.
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Noze
Noze (formerly known as Stratuscent) is the global leader in digital smell detection. Using technology built on a foundation of NASA-patented innovations deployed on the International Space Station, Noze created the world’s first and only digital nose that can detect, identify and interpret odors in everyday environments with incredible accuracy.This creates groundbreaking opportunities across multiple sectors and industries, where digital olfaction has high-value applications ranging from medical diagnostics and food manufacture & storage to public safety, air intelligence, and smart consumer electronics.Our platform is an end-to-end solution that combines a neural network-based AI engine with a cutting-edge digital olfaction sensor based on exclusive NASA patents. The sensor decodes the environment as a whole, isolating signal from background scent noise and creating a unique ‘scentprint’ for each individual chemical (VOC), chemical mixture, or smell. The AI engine decodes data from the sensor to identify exactly what is in the air, in what quantity, and how it’s evolving. This continuous real-time analysis enables scent recognition in under a second with incredible accuracy. And each time the AI engine learns a new smell, every sensor in the world learns it too. Our APIs can be seamlessly integrated with new or existing user interfaces (UIs), enabling real-time access to data, analytics, and alerts. Meanwhile, a secure and encrypted communication protocol protects all the data flows within our platform and its ecosystem.