AI Data Analyst
Ask your database anything — MRR trends, churn risk, cohort retention, pipeline health.
Watch the AI write SQL, run it, and explain the results.
This is a real product built by Kalvium Labs. Try it. Then imagine what we could build for your data.
What it does
A complete AI data analysis tool — from question to insight in seconds.
Plain English → Insights
Ask business questions in plain English. The AI writes SQL, executes it, and explains what the numbers mean.
Charts & Dashboards
Auto-generated visualizations — revenue trends, cohort curves, funnel breakdowns — from your raw data.
Churn & Risk Analysis
Identify at-risk customers by correlating usage drops, support tickets, and health scores.
Board-Ready Reports
Generate PDF reports with MRR, ARR, churn rates, and regional breakdowns — ready to share with investors.
Full Reasoning Trace
See every step: how the AI parsed your question, what SQL it wrote, why it chose that approach. Full transparency.
Bring Your Own Data
Upload any CSV or SQLite file and start querying in seconds. Works with your actual data, not just demos.
Try these queries
The demo is pre-loaded with Nexora — a realistic B2B SaaS company with 480 customers, $110K MRR, and 18 months of subscription, usage, and pipeline data across 15 countries.
What's our MRR trend over the last 12 months? Break it down by new, expansion, and churned revenue.
Which customer cohort has the best retention? Show me quarterly cohorts with survival rates.
Compare customer acquisition cost and conversion rates across all marketing channels.
Which customers are most likely to churn? Show accounts with declining usage and low health scores.
Generate a board-ready PDF: MRR, ARR, net revenue retention, top 10 accounts, and revenue by region.
Built with
Production-grade AI stack. Every component chosen for reliability at scale.
Want this for your team's data?
We'll connect this to your Stripe, HubSpot, Postgres, or warehouse — and customize it for your team's specific questions.
Book a 30-minute call to see what a custom version looks like.