Startup founders, CEOs, and solo operators who wear multiple hats and need fast answers from their business data without hiring a data team or learning SQL.
The problem
What founders teams deal with every day.
No data team, no data insights
You are a team of 5 to 50. You don't have a data analyst, and you can't justify hiring one yet. But you still need to make data-driven decisions every day.
Board and investor reporting is painful
Every month you spend a full day pulling numbers from different tools, pasting them into slides, and hoping the formulas in your spreadsheet are still correct.
You can't see the full picture
Revenue is in Stripe, users are in your database, support is in Intercom. Getting a unified view of business health means manual effort across 5+ tools.
Speed matters and data is slow
You need to know if that pricing change worked, if the new channel is converting, or if burn rate is on track. But getting the answer takes hours you don't have.
How AI for Database helps
Ask questions, get answers, automate everything.
Instant answers to business questions
Ask your database anything in plain English. No SQL, no spreadsheets, no waiting.
> What is our MRR right now, and how does it compare to the same point last month?
Investor-ready metrics dashboards
Build a live dashboard with the metrics investors care about: MRR, burn rate, CAC, LTV, and runway. Share it with your board.
> Create a board metrics dashboard showing MRR growth, net burn, runway in months, and customer count trend
Cross-tool business intelligence
Connect your production database and get answers that span revenue, users, and engagement in a single query.
> Show me revenue by acquisition channel for the last 3 months, with the number of customers and average deal size for each
Automated weekly snapshots
Set up a recurring report that lands in your inbox every Monday with the numbers that matter most.
> Send me a weekly email every Monday at 8am with new signups, revenue, churn, and active users for the previous week
Experiment measurement
Quickly measure the impact of pricing changes, feature launches, or marketing campaigns without setting up analytics.
> Compare our conversion rate and average revenue per user for the 30 days before and after the pricing change on March 1st
Dashboard templates
Automated workflows
Key metrics you can track
“As a solo founder, I don't have time to write SQL or build dashboards. AI for Database gives me the same data visibility that funded startups get with a 3-person analytics team.”
Alex J.
Founder & CEO, Seed-Stage Startup
Frequently asked questions
How does AI for Database help founders track MRR and startup metrics?
AI for Database connects to your production database and calculates MRR, ARR, churn, and other key startup metrics directly from your actual subscription and payment data. Instead of maintaining error-prone spreadsheets or paying for expensive analytics tools, founders ask a plain-English question like "what is our MRR right now compared to last month" and get an accurate, real-time answer. The platform handles the complex calculations behind metrics like net revenue retention, expansion MRR, and cohort-level revenue trends, giving early-stage founders the same data visibility that well-funded startups achieve with dedicated analytics teams.
Can AI for Database generate investor and board reports automatically?
Yes. AI for Database lets founders build investor-ready dashboards with live metrics that update automatically. Instead of spending a full day each month pulling numbers from Stripe, your database, and various tools, you create a dashboard once showing MRR growth, burn rate, runway, CAC, LTV, and customer count. Share a live link with your board and the numbers are always current. AI for Database can also send scheduled email reports with key metrics, so your monthly investor update data is generated automatically. This saves founders hours of manual reporting time and ensures numbers are consistent and accurate.
Do I need a data analyst or data team to use AI for Database?
No. AI for Database is designed specifically for teams that do not have dedicated data analysts. You interact with your database using plain English, and the platform translates your questions into optimized queries automatically. There is no SQL to write, no dashboards to configure from scratch, and no data pipeline to maintain. A founder running a team of five to fifty can get the same quality of data insights that typically requires a three-person analytics team. AI for Database handles the technical complexity so you can focus on making decisions, not wrangling data.
How can founders use AI for Database to measure experiment impact?
AI for Database makes it easy to measure the impact of pricing changes, feature launches, marketing campaigns, or onboarding experiments by querying before-and-after data with a simple question. Ask something like "compare our conversion rate and average revenue per user for the 30 days before and after the pricing change" and get an instant comparison. The platform pulls from your actual transaction and user data, so results reflect real customer behavior rather than estimates. Founders who iterate quickly on product and pricing decisions use AI for Database to close the feedback loop in minutes instead of waiting weeks for conclusive data.
Ready to try AI for Database?
Query your database in plain English. No SQL required. Start free today.