Rhizome is building the Autonomy Assurance Layer for AI models deployed in physical systems, vehicles, robots, industrial equipment and defence platforms.

Once deployed, these models encounter real-world conditions that were not sufficiently covered during validation. Rhizome identifies the field cases that expose these gaps and decides which real-world examples should enter the learning loop.

Find. Decide. Fix. (Im)prove.

Teams can act on the right layer, data, labels, model, runtime policy or surrounding system, and prove the resulting improvement before deployment.