A research automation approach built around the empirical loop: explicit hypotheses, controlled experiments and evidence that outlives the tools that produced it.
Lab Loop is developed by Cloudcell Limited, an Auckland-based software company focused on computational modeling and decision systems.
Empirical work progresses through a loop: hypothesis, experiment, evidence, conclusion. That loop should be a durable, programmable object, not a by-product of whatever tool happened to run it.
Lab Loop turns that premise into a research automation engine that runs the loop as a service across any empirical domain, with machine learning as one instance.
Lab Loop is designed to sit inside a broader research estate rather than replace it, working with the compute, trackers and registries you already use.
Auckland, New Zealand.