A research and engineering lab for autonomous systems.
Alpha Omega Labs is a research and engineering lab working on agent infrastructure, research workflows, and the tools that connect them. We operate from Europe and distinguish what ships from what is still an experiment.
Built for what research teams need at the end of every cycle.
After a close personal experience with type 1 diabetes, we saw that many life-changing discoveries are delayed by fragmented workflows—not by lack of ideas. This platform uses AI to make rigorous research faster, reusable, and easier to validate across life science and beyond.
We started this because researchers should not lose momentum after a good idea. Knowledge gets trapped in documents, models, and local notes. We want every result to remain connected to evidence and be reusable the next day.
This platform is intentionally shaped around three constraints: keep context, keep reviewability, and keep execution practical. If a result cannot be checked, explained, and reused, it is not ready to influence the next stage of science.
- Close the gap between discovery and deployment in one continuous workflow.
- Preserve lineage so every claim can be traced and challenged.
- Scale collaboration between people, models, and reusable research artifacts.
Research should be faster than bureaucracy, but never at the cost of rigor.
How the work runs
The standards we work toward across the portfolio. A shipping system and a research prototype have different proof obligations; each project names its limits.
Make authority explicit
An agent’s ability to act is not permission to act. Define its scope, connect only the tools it needs, and understand which approvals and audit controls are active.
Keep the evidence attached
Retain the code, artifacts, assumptions, and environment behind a result. A saved package is a starting point for reproduction, not proof that an independent rerun will succeed.
State the limits
Distinguish a working slice from a production system, a generated draft from a reviewed finding, and a measured result from a hypothesis.
The network around the lab
Research collaborators and institutions the lab works with or through.
- AI Austria
- EAIF
- Bilateral AI
- ASAI
- OEAW
- ELLIS
- FH Oberösterreich
- NYU
Research connections, not institutional endorsements.
Working here
There are no open listings right now. The lab hires across data, applied ML, and platform systems when it hires, and reads a good note from someone who has read the work.
Write to contact@a2olabs.com.
- Page
- 06 of 09
- Base
- EU
- Scale
- 1:1