Roelant Vos
Co-founder
Author, speaker, and long-time advocate for flexible, methodology-agnostic data automation. Roelant focuses on the metadata model and the philosophy behind ADL.
About
Agnostic Data Labs (ADL) is a data solution automation platform for teams that want an open, agnostic way to manage data assets and processes — without locking themselves into a vendor or a single methodology.
For a tour of what ADL does and the ideas behind it, see Features.
Meet the team
ADL is built by two people who have spent their careers building data solutions, and decided to put what they learned into a tool.
Stefan Johansson
Co-founder
Engineer and architect with deep experience delivering enterprise data platforms. Stefan focuses on the generation engine, templates, and how ADL fits into real-world delivery workflows.
What we believe
- Your design choices should not be constrained by a tool's default opinion. Methodology and platform decisions belong to your team, not your vendor.
- Open formats outlast proprietary ones. Metadata and templates are plain files in your own repository — readable, diff-able, portable.
- Speed and autonomy are not opposites. Starter solutions give you a fast start; flexibility lets you evolve without replatforming.
Get in touch
Working on a project where ADL could help? Want to share feedback, file a bug, or just say hello? We'd love to hear from you.
Find us elsewhere
- GitHub — code and starter solutions.
- LinkedIn — company updates and longer-form posts.
- YouTube — walkthroughs and feature demos.
- Instagram · Threads
- Data Solution Automation Engine — the open-source metadata schema ADL builds on.
- Data Engine Thinking — related explorations on data automation.