Less than 40% of surface ships get out of drydock on time. The current manual approach of collecting data by hand on key ship structures leaves asset conditions unknown and is detrimental to readiness rates and increases life cycle costs.
Cantilever is changing that dynamic for U.S. Navy and global allies:
Improved (faster, more detailed) inspections, building data layers: Robotic collection creates an improvement in inspections over current methods, allowing faster, better inspections to occur, facilitating better repair planning.
Automating workflows: Digitally encoding and localizing inspection data allows automation of routine but complex workflows, such as flight deck repair plan generation. A process that used to take weeks now takes seconds.
Speeding upgrades and next generation designs: Curation of these datasets within a Navy-designed ontology creates a repository of high fidelity, digitally encoded time series datasets of material health that allows the Navy to make intelligent improvements to current ships and to inform next generation platform design.
Predictive analytics: Reducing growth work by hundreds of days and remediation costs by more than 50%.