Every submission, in one queryable store.
Each record is auto-indexed into a single warehouse — query it with Chat, Dashboards, Benchmarks and Forecasting, with every decision logged and auditable.
One warehouse, four ways to ask.
Every submission the platform processes lands in one queryable store. Ask it in plain English, dashboard it, benchmark it, or forecast on it — with 200+ logged decision reasons and full auditability underneath.
- ✓Chat, Dashboards, Benchmarks and Forecasting on one store
- ✓200+ logged decision reasons per record
- ✓Full auditability — every answer traces back
Index once, query four ways.
- 01
Index
Every processed submission is auto-indexed into one store.
- 02
Query
Chat, Dashboards, Benchmarks or Forecasting — your choice of surface.
- 03
Audit
Every answer traces back to the record and the logged reasons.
What the warehouse gives you.
Plain-English chat
Ask your whole book a question and see the working.
BI without a team
Real-time dashboards out of the box — no pipeline to build.
150+ benchmarks
Compare against Aon, Howden and WTW market data.
Forecasting
Monte Carlo, ARIMA and scenario modeling on your data.
This is the Explore move.
The warehouse is fed by every agent run and every Decoder decision.
The Data Warehouse, answered.
What is the Inaza Data Warehouse?+
A queryable store over every submission and claim Inaza has processed, with Chat, Dashboards, Benchmarks and Forecasting on top of one source of truth.
Can we query it in plain English?+
Yes. Chat answers questions over the warehouse directly, so an underwriting or ops lead does not need SQL or a BI analyst to get an answer.
Do we need a BI team?+
No — dashboards and 150+ benchmarks are available without one. That is the point of putting the query layer on the same store that runs the workflows.
Can we trust the answers?+
Every answer traces back to the underlying records and their 200+ logged decision reasons. Auditability is the reason the warehouse exists.
What can we benchmark against?+
150+ benchmarks across submission, quote and claim performance, plus forecasting on your own book.
Ask your book a question.
Bring a dataset. We’ll index it and let you query it live in a working session.