An AI data analyst that answers from your own data
An AI data analyst answers business questions asked in plain English by querying your own database and returning the answer, a chart and the query behind it. ClearMetric builds it on written metric definitions, so revenue or cost per mile means the same thing in every answer, and it runs in your own cloud.
Updated
Vehicle out-of-service rate peaked at 27% in Q2 2026 and fell to 19% in Q3.
Vehicle OOS rate Roadside inspections that ended with a vehicle out-of-service order, divided by all inspections in the quarter.
Why do general AI tools get company numbers wrong?
They guess which tables and filters to use. A question like "what was revenue last quarter" has several defensible answers until someone defines revenue, the date that counts and what to exclude. An analyst built on written definitions answers the same way every time.
How is it different from a dashboard?
| Dashboard | AI data analyst | |
|---|---|---|
| Questions it answers | The ones it was built for | Any question your data and metrics cover |
| Who builds the view | An analyst, in advance | The assistant, when asked |
| What you see | The chart | The answer, the chart and the query |
What does a build include?
- A metric layer: each metric defined once, in code, with an owner.
- Pipelines that bring data from your apps and spreadsheets into one database, if it isn't there yet.
- The assistant: a question in; the answer, chart and query out.
- Answer checks on questions with known answers, re-run on every change.
- Access rules, so each person sees only the data they're allowed to.
Which data sources work?
Any database or data warehouse, the business systems your team works in every day, such as accounting, CRM, payments, ELD and maintenance, and spreadsheets, brought together through pipelines.
How a project runs
Scope
Within 1 business day
You describe the task and where the data lives. You get a written scope and a fixed price by email, or a few questions first.
Build
2 to 3 weeks
The first version is built in 2 to 3 weeks, with your dates in the scope, and tested on your own documents or data before anyone relies on it.
Run
Monthly
Monitoring, answer checks when AI models change, fixes, small changes and a monthly report, so it keeps working after launch.
Questions
Can it change our data?
No. It has read-only access and runs only queries that read.
Do we need a data warehouse first?
No. If your data sits across several apps, the build includes the pipelines that bring it together.
Tell us what you need
Tell us what you want built, the data it uses and the systems it should connect to. We read every request and reply by email within one business day.
- Your data stays under your control
- Every answer shows its source
- Fixed scope, refundable deposit
- Data first, then AI
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