Your data,
answered instantly.
Not approximated.
Zenntraa lets finance teams query revenue, margins, and transaction data in plain English — returning exact numbers very fast, 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.
Very fast
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 instantly. 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. Repeated queries come back instantly for us. 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%.