Battery intelligence, built on physics and Bayesian inference
We build MW Battery Analytics on the Modak–Walawalkar (MW) Battery Engine: a Bayesian, physics-constrained approach that reads ordinary BMS/CAN data and says not just what a battery’s health is, but how sure we are and what to do next. We believe rigorous physics and modern machine learning are each other’s missing half.
Who is behind MW Battery Analytics
We are also working with battery startups founded by globally leading battery researchers.
Rahul Modak
Co-founder & CEO, Technical Lead
30+ years in applied Bayesian statistics across capital markets and retail; co-developer of the MW Framework.
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Dr. Rahul Walawalkar
Co-founder & Executive Chairman
PhD, Carnegie Mellon University
Global clean-energy entrepreneur and founder of Walawalkar Enterprise LLP; angel investor, board advisor and keynote speaker, bridging innovation, industry, policy and investment for net-zero.
LinkedIn(opens in a new tab)Rajas Joshi
Co-founder & COO
Oversees operations, accounts and finance across the company.
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The work behind the engine
Trained only on electrochemical priors, the engine independently reproduced a leading battery researcher’s published SEI-cracking findings on his own data, a result he has confirmed.
- View DOI(opens in a new tab)
MW Framework: Bayesian manifold learning for physical systems
Preprint · Zenodo - Read
Steganographic LLM-powered red teaming
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AI Cyber Security @ OSI
Newsletter
Why we open-source the framework
Physics-informed models that inform decisions about critical infrastructure should not be a black box, even to the people relying on them. Our GitHub repository hosts an open demo of the MW Framework applied to verticals other than batteries, so independent researchers can audit the priors and the manifold-learning maths. Battery Analytics is our commercial offering, built on top with the tooling teams need in production.
See what your own battery data is telling you.
Share a BMS/CAN log. We run it through the MW Battery Engine and send back an MW Battery Assessment Report: findings, how sure we are, and what to do next. The first assessment is free.