SaaS
SaaS + Data Agent

Your SaaS metrics,
answered by AI.

Connect Stripe, your database, and your ad platforms. Ask about MRR, churn, retention, or LLM cost — get dashboards, alerts, and investor reports. No BI engineer. No $500/mo analytics tool.

Try free with your data See what it does
The problem

You have the data. You don't have the analyst.

Stripe has your revenue. Your database has user behavior. GA4 has traffic. PostHog has events. But nobody is connecting the dots — because you're shipping product, not building dashboards.

01

Data lives in five places

Revenue in Stripe. Users in Postgres. Traffic in GA4. Costs in spreadsheets. You know the full picture exists — you just can't see it from any single tool.

02

Reports are manual and late

The investor update takes two days. The weekly metrics email takes an hour. The churn analysis you keep meaning to do? Still on the backlog from three months ago.

03

LLM costs are a black box

If you sell AI, your API bill might be 40% of revenue — and you find out when the invoice arrives. Per-user cost, margin by feature, runaway accounts? Nobody is tracking them.

How it works

From scattered data to daily clarity.

1

Connect

Sync Stripe with one click. Connect your PostgreSQL database via FDW — your data stays where it is, Tablize queries it directly. Add GA4, Google Ads, or any of the 39 built-in connectors. Or just drag in a CSV.

Stripe PostgreSQL GA4 Google Ads CSV / Excel Webhook
2

Ask

Ask any question about your business in plain language. The agent writes SQL, runs Python, generates charts, and explains what it found. Cross-reference Stripe revenue with database behavior — no joins to write.

"What's our MRR and churn trend?" "Which cohort has the worst retention?" "How much am I spending on LLM per paying user?"
3

Keep

Good analysis shouldn't be a one-time conversation. Save it as a dashboard that refreshes daily, a script that runs every month, or a watch that fires when something goes wrong.

SaaS Dashboard Cost Alerts Monthly Report Reusable Script
In action

Two founders. Two real questions.

These are the questions SaaS founders ask every week — and the kind of answers that used to require a BI team or a weekend of SQL.

09:15 · Monday morning
Sarah
CEO & co-founder
AI writing assistant, 8-person team

Sarah's company sells an AI writing tool. Their Claude API bill jumped 40% last month but revenue only grew 15%. She opens Tablize to find out where the margin is leaking.

What she keptA cost monitoring dashboard with daily alerts when per-user cost exceeds $3.
writerly · cost analysis
Monday · 09:15
Sarah
Our LLM costs jumped 40% last month. Break down cost per user and show me who's driving it.
postgres · usage_logs + stripe · subscriptions
Tablize
✓ sql.query · monthly token usage by user tier 215 ms
✓ stripe.sync · revenue by subscription plan 1.2 s
✓ python.analyze · per-user cost vs revenue + outlier detection 940 ms
March LLM spend: $8,420 (Feb: $6,015, +40%). Revenue: $19,200 (+15%). Gross margin dropped from 68% to 56%.
TierUsersAvg cost/userAvg revenue/userMargin
Free trial340$1.20$0-100%
Starter $19180$2.80$1985%
Pro $4962$12.40$4974%
Two problems: Free trial users cost $408/mo with zero revenue. And 8 Pro users average $31/user in API spend — they're using the bulk-generate feature heavily. Those 8 accounts are 29% of total cost.
14:00 · Wednesday
Alex
Growth lead
Developer tools SaaS, Series A

Alex knows retention is the number that matters most, but nobody on the team has time to compute cohort curves. He connects the production database and asks.

What he keptA weekly cohort report that auto-runs and alerts when any cohort drops below 25% Day-14 retention.
devtools-prod · retention
Wednesday · 14:00
Alex
Compute weekly cohort retention for the last 12 weeks. Show me the heatmap and flag anything unusual.
postgres (fdw) · users + events · 24K users
Tablize
✓ sql.query · signup dates + weekly active status per user 380 ms
✓ python.analyze · cohort retention matrix + anomaly detection 1.8 s
12-week cohort retention computed. Overall Day-7 retention: 32%. Day-14: 24%. Day-30: 18%.
W1 (Jan 6) 100% 34% 26% 19%
W5 (Feb 3) 100% 31% 22% 17%
W9 (Mar 3) 100% 18% 11% —
D0D7D14D30
Week 9 (Mar 3) is an outlier — Day-7 retention dropped to 18% vs the 12-week average of 32%. These users came predominantly from a TikTok ad campaign (72% of signups that week). They signed up but never completed onboarding.
Capabilities

Six things your SaaS needs.
All through conversation.

No dashboards to configure. No SQL to write. No analytics tool to learn. Tell the agent what you want to know — it handles the rest.

01
MRR & revenue tracking

Your Stripe data, finally readable.

Connect your Stripe account — the agent computes MRR, ARR, net revenue retention, churn MRR, and expansion MRR. Broken down by plan, cohort, or whatever dimension you ask for. No ChartMogul subscription. No manual export.

Try this prompt "Show me MRR trend for the last 6 months, broken down by plan tier. What's our net revenue retention?"
stripe.syncsql.querypython.analyzeapp.dashboard
02
LLM cost monitoring

Know your margins before the invoice arrives.

If you sell AI, your biggest cost is the API bill. Connect your usage logs and the agent tracks token spend per user, per feature, per model. It computes gross margin in real time, spots runaway accounts, and alerts you before costs eat your revenue.

Try this prompt "What's my LLM cost per user this month? Which accounts are above $5 in API spend? What's our gross margin trend?"
sql.querypython.analyzewatch.createapp.dashboard
03
Cohort retention

The chart your investors will ask about.

The agent computes week-over-week and month-over-month retention from your user database. No event tracking setup. No Mixpanel integration. It builds the cohort matrix, renders the heatmap, and — more importantly — tells you which cohort is underperforming and why.

Try this prompt "Compute weekly cohort retention for the last 12 weeks. Which cohort has the worst Day-7 retention? What's different about those users?"
sql.querypython.analyzereport.save
04
Growth funnel

Find the leak before you spend more on ads.

Signup to activation to payment — the agent traces each step, computes conversion rates, and identifies where users drop off. Combine with GA4 or ad platform data to see which channels bring users that actually convert, not just sign up.

Try this prompt "What's our signup-to-paid conversion rate by acquisition channel? Where are we losing the most users in the funnel?"
sql.querypython.analyzega4.syncapp.dashboard
05
Investor reports

The monthly update that writes itself.

Save the analysis as a script. Next month, run it again — fresh data, same format. The agent pulls MRR, growth rate, burn, runway, cohort metrics, compiles the narrative, and outputs a Markdown report. One sentence replaces two days of spreadsheet work.

Try this prompt "Generate this month's investor update: MRR, growth rate, churn, runway, and top 3 highlights. Use last month's format."
script.runpython.analyzereport.save
06
Cost & anomaly alerts

Know when something breaks — before your users tell you.

Set a watch on any metric: daily LLM cost, churn rate, error count, activation rate. When the number crosses your threshold, the agent fires a Slack message with the number, the context, and a drill-down analysis. Not just "alert: churn is high" — but why.

Try this prompt "Alert me on Slack if daily LLM spend exceeds $200, or if weekly churn rate goes above 3%. Include a breakdown when it fires."
watch.createnotify.slacksql.query
How it
compares

Not another dashboard builder.
The analyst you never hired.

ChartMogul shows you MRR. Metabase lets you build charts. Tablize answers questions — about revenue, retention, cost, growth, and anything else in your data.

Tablize ChartMogul Metabase PostHog ChatGPT + CSV
Setup time Same day 30 minutes 1–2 days 1–2 weeks Instant
AI analysis Built in — — Limited Yes
Multi-source 39 connectors + FDW Stripe only One DB Events only One CSV
Automation Watch + Script + Job — Basic alerts Basic alerts —
Custom analysis Any question Fixed metrics Build it yourself Predefined Any question
Data persists PostgreSQL Yes Yes Yes No
Self-hosted Docker — Docker K8s (heavy) —
Starting price $20/mo $100/mo Free / $85/mo Free → metered $20/mo
Where it fits

The AI analysis layer
between your data
and your decisions.

Tablize doesn't replace Stripe, your database, or your product analytics. It reads from all of them — and gives you the cross-cutting analysis, automation, and reporting that none of them do alone.

Tablize AI analysis + dashboards + automated reports + cost alerts
reads from
Your existing stack Stripe, PostgreSQL, GA4, PostHog, CSV exports
which powers
Your product The SaaS app your customers use — Tablize never touches it
Who it's for

If one of these sounds like you.

Solo founder 1–3 person startup

No data team. No BI tool. You check Stripe once a week and run SQL when something looks off. Tablize is the analyst you can't afford to hire — it watches your metrics, builds your dashboards, and writes your investor update.

Growth lead Series A / 10–30 people

You care about funnel conversion, cohort retention, and channel ROI. Your engineering team is shipping product, not building BI. Tablize gives you the retention curves and funnel analysis without filing a data request.

Finance & ops Any stage

MRR reconciliation. Burn rate. Runway. Investor reporting. You pull data from Stripe, your database, and three spreadsheets. Tablize puts it all in one place and generates the report automatically every month.

Technical co-founder Pre-seed to Series B

You have a PostgreSQL database full of data you never look at. Tablize connects to it via FDW in one sentence. Five minutes later you have a retention heatmap. Ten minutes later it's a dashboard your whole team can see.

Honest limits

What Tablize doesn't do.

We'd rather tell you upfront than have you find out after setup.

Not a product analytics tool

Tablize doesn't do session replay, heatmaps, or frontend event tracking. If you need FullStory or Hotjar, use them — and bring the data back to Tablize for cross-analysis.

Not an A/B testing platform

No experiment assignment engine. No feature flags. Use LaunchDarkly or Statsig for that. Tablize can analyze the results once you have them.

Not real-time (sub-minute)

Watches run on a schedule (hourly, daily). If you need sub-minute alerting on API errors, keep PagerDuty. Tablize handles the "why did this happen?" analysis after the alert fires.

Get started

Connect Stripe.
Ask about churn.
See what comes back.

Bring your Stripe account, your database connection string, or just a CSV of last month's signups. Ask the question you'd normally spend a morning on. See what comes back in two minutes.

Try free with your data See pricing