About Kamileon AI
Engineers building for engineers
We're a team of automotive and fuel cell engineers who've spent years working with simulation and testing data. We've seen the gap between the data teams collect and the insights they actually extract. We're building AI tools to close it.
Our Journey
From problem to solution
Identifying the Problem
Through our work in automotive simulation and fuel cell systems, we kept seeing the same pattern: engineers collecting massive amounts of test data but lacking the tools to extract predictive insights. We started researching whether AI could bridge that gap.
Deep Research & Idea Refinement
We dove deep into the intersection of machine learning and engineering simulation. Studied approaches by companies like Monolith AI and Neural Concept. Refined our thesis on what a purpose-built AI platform for engineering test data should look like.
Customer Discovery Begins
Started systematic customer discovery -- sending surveys and talking to test engineers, data analysts, and R&D leaders across automotive and clean energy. Learning what workflows are most painful and where AI can deliver the most value.
Validating & Building
Actively gathering input from the engineering community to validate our approach before building. If you work with simulation or testing data, we'd love your perspective. Our goal: build the tool you actually need, not the one we assume you want.
Where We Stand
Honest numbers, real commitment
of test data never analyzed*
hours/week on manual reporting*
founders with hands-on domain expertise
years refining this idea
* Based on published industry research
The Team
Building the future of industrial AI
Rahul Shivanathri
Co-Founder & CEO
Background in simulation and automotive engineering. Passionate about bridging the gap between physics-based simulation and data-driven AI to transform how engineers make design decisions.
Connect on LinkedInVamshidhar Akula
Co-Founder
3+ years in fuel cell systems engineering with expertise in data analysis, data engineering, and ML/AI. Brings firsthand experience with the testing data challenges this platform aims to solve.
Connect on LinkedInHemanth Pippari
Co-Founder
Background in simulation and automotive engineering. Focused on ensuring the platform is grounded in real engineering workflows and delivers value that domain experts actually trust.
Connect on LinkedInOur Values
What drives us
Domain First
We're building AI that understands engineering, not the other way around. Every model will be grounded in physics and domain knowledge.
Radical Simplicity
Complex AI, simple interface. Engineers shouldn't need a PhD in machine learning to get value from their data.
Trust & Transparency
We believe in explainable AI. Our goal is that every prediction will come with confidence intervals and clear reasoning -- no black boxes.
Speed to Value
Our design goal: from raw data to actionable insights in minutes, not months. We're optimizing for time-to-value at every step.
Clean Energy Mission
We exist to accelerate the clean energy transition. Better analytics means better fuel cells, faster development, and a cleaner future.
Customer Partnership
We're building this with our future customers, not just for them. Your input during customer discovery directly shapes what we build.