Agentic AI & RIA — The Explainable Risk Reasoning Layer
Netra RIA provides a relational reasoning engine that connects entities, transactions, and events into auditable decision logic.
Query (NL Reasoning)
Accepts structured or natural-language questions and translates them into graph-based reasoning steps.
Model (Rel. Mapping)
Builds and maintains relationship graphs across entities, ownership, transactions, and disclosures.
Decide (Trace. Resolution)
Produces conclusions supported by explicit reasoning paths, evidence references, and timestamps.
Every action is logged, explainable, and auditable.
RIA is designed to reduce investigation friction by replacing opaque scoring and
alert logic with explicit, reviewable reasoning.
Faster Investigations
Cycles
through relationship-first analysis
Fast Conclusions
suitable for audit and regulatory review
Human-in-the-loop
workflows where analysts validate, not guess
Proven Outcomes from Explainable Intelligence
