Your data,
answered instantly.
Not approximated.
Zenntraa lets finance teams query revenue, margins, and transaction data in plain English — returning exact numbers in milliseconds, not dashboards to dig through.
Used by 6 finance teams in beta · Read-only by default · No SQL required
Built for precision,
not approximation.
Every design decision optimizes for one thing — getting your finance team the exact right answer as fast as possible, without burning tokens to get there.
Sub-50ms
responses
Your database is never modified.
Exact numbers,
every time
Your database is never modified.
WHERE company = 'TechCorp'
AND quarter = 'Q1'
90% cost
reduction
Your database is never modified.
Four steps.
Zero ambiguity.
Every query follows the same deterministic path — cache check first, exact SQL second, answer always.
Ask in plain English
No SQL. No dashboards. No waiting on a data team. Just type your question the way you'd ask a colleague, and Zenntraa figures out the rest.
Memory checked first
Before touching the AI or your database, Zenntraa checks if this question has already been answered. If yes — you get the result in under 50ms. Zero AI cost.
Exact SQL, not a guess
On a cache miss, the AI translates your question into a precise SQL query and runs it in a sandboxed, read-only environment. Every action is logged.
Exact data, instantly
Results come back formatted and ready. The answer is also cached for next time, so the second ask is always near-instant.
Teams that ran on guesses.
Now don't.
A small group of data and finance teams helped us shape Zenntraa in beta. Here's what they said.
"We replaced our entire RAG pipeline with Zenntraa in a week. Query accuracy went from 'close enough' to exact. Our analysts stopped second-guessing the numbers."
"The cache-first approach is genuinely clever. We're hitting sub-30ms on 80% of our queries. The AI cost reduction alone paid for the switch in the first month."
Your data,
answered instantly.
Join the 6 finance teams already using Zenntraa to replace dashboards, eliminate guessing, and cut AI costs by 90%.