Biotech Pipelines
Data, workflow, and software systems for building biotech pipelines that remain interpretable, reproducible, and operationally useful.
Research
Our research directions grow out of the same conviction that drives the software work: technical systems should help serious people tackle serious problems. We are especially interested in research programmes that require a strong mixture of scientific thinking, data systems, and operational software.
StyleApplied research with real system implications
MethodSoftware, modelling, infrastructure, and scientific reasoning together
Current directionsBiotech pipelines and energy systems for AI datacentres
The overview on this page is public. The detailed research subpages are reserved for signed-in QuantaLumin members.
Energy and Infrastructure
Energy Management System for AI Datacentres
Operational and software layers for understanding, shaping, and optimising power use in AI-heavy compute environments.
Power visibilityCompute orchestration
Explore the energy programme
Research Philosophy
We are drawn to problems where infrastructure, scientific understanding, and software architecture need to evolve together. Those are usually the places where better systems can have an outsized effect.
If you are interested in collaborating on one of these research directions, contact us.