SciTuu Information

SciTuu builds the physical context layer for autonomous and AI-native laboratories. Modern labs are producing more signals than ever: sensor streams, instrument logs, equipment states, sample and material history, scientific records, human actions, and robot events. SciTuu unifies these fragmented signals into a governed physical context graph that humans, APIs, and AI agents can query before they plan, rerun, release, or control an experiment. Think of SciTuu as lab observability for physical science. Every run becomes replayable for humans, queryable for machines, and actionable for operations. SciTuu helps autonomous lab builders, AI4S platform teams, lab automation groups, and regulated R&D organizations understand what changed before the next run. By combining instrument logs, physical environment data, equipment history, and workflow events, SciTuu supports root-cause analysis, success/failure factor review, DoE variable discovery, experiment reconstruction, and grounded decision-making for AI agents. Our mission is to give autonomous science the physical ground truth it needs.