Vansh Ramani is Co-Founder and CTO at RamAIn (YC W26), a computer-use AI agent platform that automates complex workflows across desktop and browser applications. He is pursuing Computer Science at IIT Delhi and brings deep expertise in machine learning and graph neural networks.

Vansh was a researcher at Carnegie Mellon University's Machine Learning Department and University of Copenhagen, where he worked on graph condensation (published at ICLR 2025) and graph ML for molecules (ACS 2024). He built Panorama, the fastest nearest-neighbor search algorithm that was merged with FAISS.

Vansh has published multiple research papers with 3 citations and has expertise in Graph Neural Networks, Python, and object-oriented programming. His research focuses on advancing scalable GNN training and molecular property prediction.

RamAIn was founded in 2025 and is backed by Y Combinator (W26 batch), with 2 employees based in San Francisco. The company builds infrastructure to pre-train computer-use agents on specific interfaces, making them 10x faster than traditional approaches.

RamAIn's platform enables enterprises to automate procurement, insurance brokering, healthcare workflows, and finance operations without requiring API access. The technology serves procurement teams, insurance brokers, healthcare providers, and revenue cycle management teams across multiple industries.