From experiment design to actionable insight, Luma orchestrates the flow of scientific planning, experimentation, and analysis across the connected digital lab, without the manual hand-offs.
After the experiment runs, the outputs land in files. But the files don't carry the question that shaped the experiment, the protocol decisions, or its relationship to everything that came before. That thread breaks every time data crosses a system boundary, and the friction compounds as labs scale.
AI can summarize what's in front of it. What it can't do is guide a research program without knowing where it's been, what was tried, what was learned, why this experiment was designed the way it was.
The vision most labs have for AI, intelligent guidance on next steps, closed-loop experimentation, analysis that spans entire research programs, depends entirely on data that's grounded in its scientific context. Orchestration is how you build that foundation.
True lab orchestration operates across three domains at once, and the weakest link in most labs today is the connection between the physical and the digital.
Most labs have the first. Luma closes the gap between all three.
