Ask Your Database Questions in Plain English

Ask your database anything — in plain English

No SQL skills required. Connect any database, ask a question, get instant results. The engine learns your schema, your terminology, and gets smarter with every query.

inferoniq / Ask AI
Ctrl+K
U
"Which vendors overcharged us by more than $5,000 this quarter?"
Found 7 vendors with overbilling >$5K. Total variance: $142,350
Vendor
Invoiced
PO Amt
Variance
Acme Corp
$45,200
$38,500
-$6,700
TechSupply Co
$92,100
$78,300
-$13,800
MedParts Inc
$31,400
$22,850
-$8,550
Showing 3 of 7 · 1.2sView all →

Ask in plain English. Get a governed answer with full lineage.

Validated

SQL Checked Before It Runs

Seconds

Typical Answer

Read-only

Database Connections

<60s

Setup Time

How it works

01

Connect (60 seconds)

Read-only connection to Oracle, SAP, SQL Server, PostgreSQL, Snowflake, BigQuery, MySQL, or Databricks. No data movement.

02

AI schema scan

6-layer intelligence: auto-cataloging, column profiling, relationship inference, data sampling, keyword extraction, and business glossary.

03

Ask in plain English

Type a question like "Top 10 vendors by spend this quarter" — the engine generates, validates, and executes SQL instantly.

04

Self-learning

Every query, correction, and feedback loop makes the system smarter. Cached responses in 50–100ms. 40–60% cache hit rate.

Capabilities

6-layer schema intelligence

Auto-discovers tables, columns, relationships, and business meanings in 15–45 seconds for 50 tables. No documentation required.

Multi-candidate SQL generation

Generates 2 diverse SQL candidates per query. Ensemble scorer picks the best based on schema fit, join validity, and result quality.

Self-healing pipeline

3-tier fallback chain: low confidence → expanded context → alternative strategy. Auto-recovers from errors without user intervention.

Cross-database federation

Ask one question across Oracle + SQL Server + Snowflake. Parallel execution, automatic join inference, unified results.

Contextual follow-ups

Maintains conversation context. "Now filter that to Q1" works without re-specifying the original query.

Smart Edit actions

Click any result cell to trigger AI analysis — drill down, pivot, explain anomalies, or chart the data.

Frequently asked questions

What databases do you support?

Oracle, SAP HANA, SQL Server, PostgreSQL, Snowflake, BigQuery, MySQL, Databricks, and any JDBC/ODBC-compatible source.

Is my data safe?

Read-only connections only. Your data never leaves your network. BYOC deployment means everything runs inside your infrastructure.

How accurate is the SQL?

Every answer shows the SQL it ran, and the SQL is validated before it runs. Accuracy depends on how your schema is named and documented, so a pilot measures it on your own questions. Corrections you make are remembered and improve later answers, and model changes are regression-tested on the questions you have confirmed.

What if the SQL is wrong?

The self-healing pipeline auto-retries with expanded context. Users can also provide corrections that permanently improve future queries.

No-risk assessment

See what we find before you commit.

Read-only connection. We review a sample of your invoices, agreements and supplier spend, then hand back a findings report with specific figures. If there is nothing to recover, there is nothing to pay.

Read-only accessNo commitmentNothing found, nothing owed
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