Ask a question.
Get a prediction.
Make the right call.
The decision intelligence platform for operations, finance, and supply chain teams. Upload your data or connect your warehouse, ask questions in plain English, and get back forecasts, predictions, and dashboards in seconds.
Trusted by operations and finance teams across industries
From data to decision in four steps
Upload Your Data
Drop in a CSV, Excel file, or connect your warehouse — Snowflake, BigQuery, Postgres.
Ask a Business Question
"Forecast Q2 revenue by region" or "show me at-risk customers" — plain English works.
AI Builds & Validates Models
Predict Labs trains, tests, and explains the model — with no data scientist on staff.
Get Predictions Where You Work
Dashboards, alerts, embedded charts in Slack, or pushed back into your CRM.
The decisions that move the business — solved
Six packaged modules for the predictions operations and finance teams already make. Use one or use them all.
Predict Labs vs. traditional BI vs. hiring data scientists
| Predict Labs | Traditional BI | Hiring Data Scientists | |
|---|---|---|---|
| Time to first prediction | Under 1 hour | 2–4 weeks (semantic model) | 3–6 months (build + hire) |
| Total annual cost | $24k–$60k | $80k–$150k + analyst team | $400k+ (1–3 data scientists) |
| Forecast accuracy | 85%+ out of the box | Whatever your spreadsheet does | 85–92% after months of work |
| Technical skill required | Knows the business | SQL + dimensional modeling | Python, ML, MLOps |
| Time to a new question | 30 seconds | Ticketed analyst request | Sprint planning |
The teams who own the number, finally trust it
“We replaced a 6-person analytics team's quarterly forecast with Predict Labs in two weeks. Same accuracy, 50x faster.”
“I used to wait 3 days for a dashboard. Now I have an answer in 30 seconds.”
“Our churn model went from a six-month consulting project to a Tuesday afternoon.”