The bigger story
Computers processed information. Networks connected it. AI began to understand it. What is starting now is different in kind: autonomous systems that act in the physical world, where a wrong inference is not an error message but an accident.
The infrastructure for that transition does not exist yet. Traditional software assurance assumes a specification you can trace to code, and a learned component does not have one in that sense. Benchmark accuracy, which is what the field currently reports, describes performance on a sample somebody chose — not readiness for an operational domain.
Aplark exists to build the missing layer: the infrastructure that tests, simulates, assures and continuously verifies mission-critical AI before and after deployment. We start with defence AI assurance and simulation, and expand into aerospace, space and autonomous systems.