Alen Rubilar-Muñoz is Co-Founder and CTO at Velum Labs, an AI privacy company building open-source firewall technology for content-level access control. He is a computer scientist and mathematician specializing in machine learning and natural language processing.

Alen studied Computer Science and Mathematics at Minerva University and conducted deep learning research at Vanderbilt University on protein folding and structural biology. He previously served as Principal Software Engineer at DataRoot Labs, building a PaaS for managed machine learning applications.

Alen is a CalHacks overall winner and HackMIT champion, with expertise in Python, TypeScript, and topological neural networks. He conducted research at Leipzig University on topological neural networks for molecule optimization and worked as a machine learning intern at Tetramem.

Velum Labs is backed by Y Combinator and raised $500K in pre-seed funding in 2025. The company provides firewall technology that enforces content-level access policies across documents, databases, and AI systems for enterprise clients.

Velum Labs has developed an open-source platform that integrates directly into existing infrastructure, enabling organizations to control sensitive information access across AI and human workflows. The technology supports real-time policy enforcement at scale for compliance and security.