Insurance ontology
An insurance ontology is a structured model of the concepts in insurance, such as policies, perils, parties, coverages and decisions, and how they relate, so software and AI can reason about a claim with shared, unambiguous meaning.
Insurance language is precise and depends on context. The same word can mean different things across lines and markets. An ontology fixes that meaning, giving systems a common vocabulary to connect a claim’s facts to rules and decisions.
Why it matters
Reliable decision automation needs shared meaning. Without an ontology, AI mislabels and misconnects. With one, it can apply the right rule to the right fact.
Mysa maps a claim into a decision graph, the calls and how they depend on each other, so its reasoning runs on structured meaning rather than loose text.