Climate change is a global challenge affecting every human and ecosystem.
Addressing it requires energy systems that are clean, scalable, and deeply reliable.
Nuclear fission enables deep decarbonisation, but its full potential requires greater safety, precision, and operator preparedness.
Our long-term vision is to build safer and more efficient nuclear fission reactors leveraging AI.
The path to that future begins with AI co-pilots, immersive operator training, and high-fidelity digital twins — systems that strengthen situational awareness, reduce human error, and make complex reactor behaviour more predictable and transparent.
We founded PolyEnergetics to accelerate this transformation.
The Team
Pradeep Bhatt
Pradeep Bhatt
Pradeep is a technology entrepreneur with 20+ years of experience and an M.Tech in Computer Science with a focus on Machine Learning from IIT Bombay. He has worked at Nokia (Finland) and multiple startups, gaining global engineering exposure and experience in building scalable systems. He has immense experience working with big data at the root of governance, regulations, legal systems, having founded OnlineRTI and CrimeCheck.ai - an AI-powered litigation-history and background-verification product which was successfully acquired. He is now preparing for a Masters in Nuclear Engineering from Europe, focusing on digital twins and AI for safety-critical applications to advance clean, safe, and reliable energy solutions through PolyEnergetics.
Aswin Kumar
Aswin Kumar
Aswin is a technology leader with over 15 years of experience in software engineering, systems design, and product architecture. He has founded his own startups, served as Head of Emerging Technologies (Machine Learning and Virtual Reality) for a US-based MNC, and was part of the core team of CrimeCheck.ai as Senior Engineering Manager, contributing to the growth of the AI-driven platform that was later acquired. He is now enrolled in a Master’s in Nuclear Engineering from the UK, with the goal of leading the technical architecture of advanced AI copilots, digital twins, and simulation systems at PolyEnergetics.
engineering, systems design, and product architecture.
Vishnu Raj M
Vishnu Raj M
"What drew me to PolyEnergetics is the combination of innovative technology and a meaningful mission."
Vishnu Raj M is a Senior Software Engineer with expertise in NLP, document parsing, and computer vision. He has built multilingual document processing systems that improved efficiency and reduced operational effort. His work includes developing OpenCV-based PDF extraction pipelines, optimizing large-scale data systems, and delivering award-winning hackathon solutions leveraging LLMs. He previously contributed to ADAS software validation at ZF by creating automation tools that streamlined testing workflows. He holds a degree in ECE from JNTU and combines extensive Machine Learning(ML) project experience with a strong technical foundation to deliver practical, scalable AI solutions.
Janaki Kangalgouda
Janaki Kangalgouda
"I believe that safe energy is important for the world. Using understandable and trust-worthy AI is an important step to scale it to meet the world's needs."
Dynamic Software Engineer with expertise in React, Node.js, Next.js, and RESTful APIs. Proven track record in developing high-performance web applications, emphasizing security and reliability through comprehensive VAPT procedures. Skilled in creating robust front-end and back-end solutions, passionately committed to continuous learning, fostering collaboration, and consistently delivering high-quality results that drive innovation and growth.
Subha Balaram
Subha Balaram
"Nuclear energy proves its value when strength is paired with accountability and trust. Progress in nuclear energy is measured not by scale, but by how safely and transparently it is built."
With over 14 years of experience across organizations such as Cognizant, OnlineRTI, and CrimeCheck, I focus on shaping workplaces built on trust and shared purpose. I strive to ensure HR and finance practices support people while enabling steady, long-term growth, guided by clarity, fairness, and strong partnership between leadership and teams.
Narayanan Unny
Narayanan Unny
Narayanan Unny is a senior machine learning researcher and industry leader with over a decade of experience applying advanced AI techniques to complex, safety-critical domains. He holds a PhD in Bayesian Machine Learning from the University of Edinburgh and began his career in academic research as a Research Associate at the University of Manchester.
Narayanan transitioned to industrial research at Xerox Research Centre, where he pioneered the application of machine learning to intelligent transportation systems, including deployments relevant to India. Over the years, he has driven ML-led innovation across diverse domains such as genomics, robotics, transportation, and financial services.
He has held senior leadership roles including Director at American Express, Area Manager and Director of Machine Learning at Conduent, and Area Manager at Xerox, progressing from Research Scientist to senior leadership positions.
As an advisor to PolyEnergetics, Narayanan brings deep expertise in probabilistic modeling, uncertainty-aware AI, and real-world deployment of machine learning in high-reliability environments.
Minds and moments behind the mission
