A plain-language question in. A governed, explainable answer out.
DataConverse connects read-only, generates the query, and shows it to you. The answer comes back with the SQL, citations, lineage and confidence attached, so your people verify before they trust.
GCC net revenue grew every quarter in 2025, from $4.2B in Q1 to $6.4B in Q4, a +52% full-year climb, with the sharpest jump in Q4.
SELECT quarter, SUM(net_revenue) / 1e9 AS revenue_bn FROM finance.semantic_revenue -- governed metric WHERE fiscal_year = 2025 AND region = 'GCC' GROUP BY quarter ORDER BY quarter;
Four steps, and it shows you every one.
Ask in plain language
A person asks a question the way they'd ask a colleague, in English or Arabic.
Route & ground
The question is routed to the right sources and grounded against your schema and semantic layer.
Generate the query
DataConverse generates the query for whichever engine it routed to, and shows you exactly what it generated.
Validate, then answer
The query is sanitised and validated before it runs, and the answer arrives with its work attached.
Your databases, one conversational layer.
NL → SQL
Plain-language questions become governed SQL through a business semantic layer, so metrics mean the same thing everywhere.
One chat, every database
A single question is routed automatically across your SQL and NoSQL sources, then composed into one answer.
Hallucination guardrails
Schema grounding and query validation catch bad logic before an answer is ever shown to a person.
Charts + summaries
Numbers become charts and a plain-language narrative, ready to act on, not just to read.