Probably Raises $9M to Add Confidence Scoring to AI Outputs

Probably closed a $9 million seed round to build confidence scoring—a metric that surfaces how reliable an LLM's answer is. Most models output fluent text regardless of accuracy. Regulated industries (legal, healthcare, finance) now demand auditability and measurable error rates. Whether this tooling remains standalone infrastructure or integrates into model APIs remains uncertain.