Meet Our Founders
Tom Kaltofen
CTO & Creator of mloda
“Striving to make data and algorithmic pipelines robust, reliable, and finally painless.”
Everywhere I've worked, data science, AI, software engineering, I kept running into the same issue. And spoiler: it was never the models. It was everything before them: broken pipelines, inconsistent features, fragile infrastructure, and a galaxy of tools (more than George Lucas ever dreamed up).
Over the years, I built internal feature stores, data apps, BI tools, and custom databases, each one aimed at making data systems more trustworthy, maintainable, and production-ready.
mloda is my answer to all that data chaos: a lightweight, no-nonsense framework to help teams build rock-solid pipelines from day one. Built from hard lessons, sprinkled with a bit of fun, so your team can spend more time building, and less time untangling.
Xiaoheng Chen
CEO, PhD ABD HU-Berlin
“Visionary leader with a passion for bridging complex research and commercial compliance mandates.”
As a researcher at HU Berlin and the Max Planck Institute, I developed data pipelines to analyze massive datasets. Seeing how robust infrastructure catalyzes breakthrough innovation ignited my passion for airtight data traceability, empowering organizations to build fearlessly.
My superpower is rapid learning and translating technical complexity into a compelling vision. Winning awards at science conferences taught me that groundbreaking work matters most when people understand it. Today, I turn intricate compliance challenges into simple, strategic narratives.
While Tom architects our framework, my focus is bridging the gap between deep tech and the market. I ensure mloda's core value—automating data access and traceability—is crystal clear to the regulated enterprises that need it most.
Ready to Connect?
Have questions about mloda? Want to see how it fits your workflow? We're here to help.