Custom AI-native analytics at a fraction of the cost.

Built from a blueprint tailored to your business. You own it: your code, your domain, your data.

15 minutes: see what great analytics should cost See it in action →
data.yourcompany.com
Revenue overview Last 90 daysAll regions
Net revenue$1.24M
Pipeline$3.8M
Win rate27%
Drill down: win rate by rep
RegionRevenuevs goal
West$482K104%
Central$401K97%
East$357K92%
South$298K88%
Dashboards and reports Filters and drill-down Scheduled email reports Roles and row-level security Export to Excel and CSV Works on your phone

Everything you expect from BI.

WHAT AI UNLOCKS
Modeling > add churn_rate to the model models/churn_rate.sql · tests pass
Governance revenue_net · 1 definition, every report CERTIFIED
Ask AI > why did revenue dip? Two renewals slipped. source: revenue_net
Custom reports > build a renewals report
Speed to delivery Requested 9:00am · Published 4:30pm
Access Ask from wherever you work
ClaudeSlackEmail
+ whatever AI makes possible next.

Built for AI from the ground up.

No contract. No paywall for upgrades. No subscription. No user fees. Pay only what it costs to run.
This month's run cost Warehouse$480 App hosting$40 AI usage$12 Total$532 Seats: none. Contract: none.
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You can have it all now.

Custom, capable, or affordable used to mean picking two. Here is why you no longer have to.

  1. Production-ready from day one

    • Your AI builds it from a proven blueprint
    • Dashboards, navigation, scheduled reports and Ask AI included
    • Hundreds of automated tests pass before sign-off
    • Built to run with minimal maintenance

  2. More control than any BI tool

    • Edit any dashboard in plain English
    • Build custom reports and new pages on request
    • Your brand and style guide keep every page consistent
    • Changes go live in minutes
    • Missing a feature you want? Add it.

  3. AI where your team already works

    • Ask from any page, and the AI already has the context
    • Use your own AI assistant through a private connector (MCP)
    • Answers come from defined metrics, not raw tables

  4. Pay only what it costs to run

    • No licenses, seats or subscription
    • Every feature for every user
    • Your costs: warehouse, hosting and AI usage
  5. THE RESULT

    Custom analytics your whole team trusts and uses, that you fully control, at a fraction of the cost.

WHAT YOU GET

Everything you’d expect from a top BI tool.

Explore

  • Interactive dashboards
  • Filters and cross-filtering
  • Drill-down and drill-through
  • Ask questions in plain English
  • Saved views

Build

  • Charts, tables and pivots
  • Calculated metrics
  • One shared definition per metric
  • Targets and goals

Share

  • Scheduled email reports
  • Alerts when a number moves
  • Slack and Teams delivery
  • Export to Excel, CSV, PDF and PowerPoint
  • Works on your phone

Govern

  • Roles and row-level security
  • Single sign-on
  • Certified metrics with sign-off
  • Audit log of every change
  • Logins for clients and partners

Connect

  • Runs on your own warehouse
  • Your models, your SQL
  • Your own domain
See it in action Click through the live product with sample data.

Questions

Cheaper and more custom? That sounds too good to be true.

It would have been, before AI. A BI tool this custom was never something one data person could build and run, so you paid a vendor for a compromise. Now your data person can, and you pay only what it costs to run. The catch is real: you own it, so you are responsible for it.

Our BI vendor is adding AI. Why switch?

They are adding AI to tools built before AI, usually on a higher tier, and it keeps you inside their tool. This was built for AI from the first line, and it connects to the AI your team already uses.

Who builds it? Will my team turn into a software team?

Your data person builds it with AI, following the blueprint, with me guiding the build. It ships with automated tests and engineering guardrails, so every new feature follows good practice. Expect a few focused weeks to build it, then less of their time than your BI takes today.

Our data isn't clean enough for this.

That is a reason to start. Data stays messy mostly because nobody can see where it breaks. Once your metrics are defined, every place the data does not fit becomes your cleanup list, and you fix it one stream at a time.

What happens if our data person leaves?

It is standard, documented code in your own repository. A new hire with an AI assistant can pick it up, and nothing is locked inside a vendor.

Will the AI make up numbers?

It only reads your data. Answers come from your defined metrics, and every answer shows its source.

Can't we just build dashboards with our AI assistant?

You should, and that is how dashboards get built here too. The difference is where they live. Here every chart uses one definition per metric, access follows roles and row-level security, and changes are reviewed and logged. For one analyst exploring alone, a chat is enough. Once a second person relies on the number, you need the app.

What do we need to run it?

A handful of services most companies already pay for. Everything runs in your accounts, under your name:

  • A domain and DNS: the address your team visits, such as Cloudflare
  • App hosting: a server or app platform that runs the portal, such as DigitalOcean, AWS or Azure
  • An analytics warehouse: where your reporting data lives: Postgres or Snowflake today, others as needed
  • An app database: users, settings, saved views and the audit log
  • A code repository: where the portal’s code and history live, such as GitHub
  • An AI provider account: powers Ask and plain-English changes
  • Sign-in: your existing Google or Microsoft single sign-on

Keep the pipeline tools you already use to load your data.

See what great analytics should cost.

Fifteen minutes. You leave knowing what you pay per person today, and what owning yours would cost.

Book a 15-min call