We started AuraForge after years of watching operations teams export CSVs by hand and stitch dashboards together to answer one recurring question. These are the problems we solve first.
High-volume call, transaction, and event data turned into daily, hourly, and per-entity metrics — automatically, without a dedicated data team.
Let non-technical teammates ask questions in plain English and get accurate, source-backed answers from your own systems.
Our team has spent years building analytics and LLM systems for exactly these settings. The platform reflects what those environments actually need.
Call detail records, agent performance, DID-level volume, and abandonment — queried in plain English instead of exported nightly.
Per-entity counts, trends, and anomaly alerts over payment and event streams, with every metric traceable to its source query.
A conversational layer over the warehouse so teams stop filing analyst tickets for questions the data can already answer.
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