Conversational BI

Your dashboards, finally on demand

Ask any question of your data and get back a chart, a table, or a full dashboard — in seconds.

Outcome
30 sec

average time from question to chart, vs. 3 days for ticketed dashboards

The problem

What's broken today

1

Every dashboard request becomes a three-day analyst ticket.

2

Self-serve BI tools require SQL, dimensional models, or both.

3

The exec gets the answer in a meeting they're already in, not three days later.

How Predict Labs solves it

Built for the way operators actually work

Natural language to SQL — verified

Predict Labs writes the query, validates the result against your data, and shows its work.

Charts and dashboards on demand

Move from question to chart to dashboard without leaving the chat.

Built on your governed semantic layer

Use our layer or connect to dbt, Cube, or your existing definitions — answers stay consistent.

Sample questions

Ask Predict Labs anything

Show me revenue by region for the last 4 quarters
Predict Labs
Building chart and analysis…
Compare West vs East margin year over year
Predict Labs
Building chart and analysis…
Build me a dashboard for my Monday QBR
Predict Labs
Building chart and analysis…
How it works

Three steps to your first prediction

STEP 1

Connect your warehouse or upload data

Snowflake, BigQuery, Postgres, or CSVs.

STEP 2

Ask anything

From "top customers this quarter" to "build me a churn dashboard."

STEP 3

Share and embed

Publish to teammates, embed in Notion, or export to Slides.

Getting started

What you'll need

These are the typical data sources for conversational bi. You don't need every source on day one — start with what you have.

Typical data sources
  • Warehouse (Snowflake, BigQuery, Postgres)
  • Spreadsheets and CSVs
  • Optional: dbt or semantic layer

Try Conversational BI on your own data

Free for 14 days. No credit card. No data scientist required.