PRIM

Meta-learned Bayesian root-cause analysis

Use when you need root-cause rankings on system snapshots (services, sensors, metrics) fast and want calibrated Bayesian posteriors rather than heuristic scores. Best fit for incident response, SRE post-mortems, and process-fault triage where a per-incident MCMC pass would be too slow.