About Ramanova Labs
Useful. Governed. Repeatable.
Ramanova Labs helps regulated enterprises adopt AI in a way that is useful, governed, and repeatable.
We started Ramanova Labs because most AI programs fail from missing structure, not missing technology. A pilot that works in a demo often stalls because no one owns intake, no one has defined what "good" means, and no one can explain the system to a regulator. We build the structure first: an operating model, a governance baseline, and a way to validate output before it reaches a customer or a regulator. That is what lets AI scale instead of stalling.
Founder and principal
Abhishek Agrawal
Abhishek has 20+ years delivering enterprise platforms across insurance and financial services, with experience at Bloomberg, Ethos Life, and Capgemini, and has led intelligent automation and AI programs since 2017. Through Ramanova Labs, he leads AI Center of Excellence, governance, and agentic AI delivery work. He builds open tools for AI practitioners, including an interactive AI capability maturity framework.
MIT Professional Education (Leadership for the AI Age) · Duke University (Machine Learning Foundations) · DeepLearning.AI (Agentic AI) · XLRI (Business Management) · Professional Scrum Master
How we work
We scale a network of senior practitioners across architecture, data, security, and delivery to match each engagement. That keeps engagements lean without leaving gaps: enough depth to move fast on architecture decisions, security reviews, and delivery execution, without the overhead of a permanent bench you don't need between engagements.
Let's begin