Unverified50% confidenceFactExact time
A decision graph is a queryable network that connects facts, evidence, rules, responsible parties, and outcomes.
1
Sources
50%
Confidence
Long-term
Relevance
9/11/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedSemantica's decision intelligence represents each decision as a graph node containing type, scenario, rationale, conclusion, and confidence level, and decisions can be chained into causal chains using Add Causal Relationship.74% similarUnverifiedKnowledge Graphs and decision trees both organize scattered information into logically connected network structures, enabling AI to reason and retrieve along relationship chains.72% similarUnverifiedReckon allows users to record predictions, confidence levels, and reasoning logic at the time of making a decision.69% similarUnverifiedSemantica automatically organizes scattered data into a visual relationship network, assists with reasoning, preserves decision records, and enables tracing back from conclusions to original sources.68% similarUnverifiedDecision systems need to distinguish facts from speculation, require complete causal chains, require deterministic rule engines, require clearly identified responsible parties, and require temporal traceability — these five dimensions differentiate them from traditional RAG.68% similar
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