Customers
Built in the open, used in production
AI for Database is in early access. We won't show you invented logos or made-up metrics — here's how it runs in production today, starting with our own company.
B2B SaaS — procurement software
AuraVMS
“We run AI for Database on our own production Postgres. Our daily ops dashboard is built from plain-English questions, refreshes itself, and a workflow watches for churned accounts so nobody has to remember to check. When something looks off in revenue, we ask the database directly instead of writing SQL.”
Dhrumil Barot
Founder, AuraVMS (and AI for Database)
In production
- Live dashboard on production Postgres
- Churn-watch workflow runs automatically
- Zero SQL written for day-to-day questions
Early access, honestly
We're early. The teams trying AI for Database right now are founders, product managers, and developers connecting Postgres, MySQL, SQL Server, and MongoDB — asking questions in plain English, pinning answers as live dashboards, and wiring alerts to Slack and email. If you become one of the first teams and it works for you, we'll ask to put your story here. Until then, this page stays short.
Be an early team
Start free. Read-only by default — only your schema reaches the AI.
Free plan available · No credit card required