Connect a source
Save a PostgreSQL or SQLite connection to reuse across reports. Queries run in read-only mode.
Mattear · AI Reports
From your datato your next report.
Connect your database, tell us what you need to understand, and turn that question into a dashboard. Built with AI, grounded in your business data.
PostgreSQL and SQLite · Visible queries · PDF and CSV
Business activityJanuary — June
Orders in period1,284
Monthly average214
Orders per month
Orders from January to June: 140, 180, 210, 195, 250, and 309.
Explore the data behind every chart.
Illustrative example · fictional data
From question to report
A guided process. A result you can review.
The starting point is not an empty chart: it is the question your team needs to answer.
Define what matters
Describe what you want to understand and answer four questions about your goal, metrics, time frame, and audience.
Generate and review
AI proposes metrics and queries. The application executes them and displays the results and quality checks.
Explore and present
Adjust filters and components, save a new version, and take the result into a meeting or a PDF.
AI Reports capabilities
Create, understand, and share.
From the first draft to the version your team presents, with tools to refine the content and understand where each number comes from.
Reports from your questions
Start with a business question. Guided creation helps define what to measure before choosing charts.
Every metric has an explanation
See how each metric is calculated, review its SQL, and explore the underlying data.
Visual editing
Adjust charts, metrics, groupings, and filters in a visual editor. Advanced mode lets you work with SQL.
Versions to keep exploring
Improve a report with AI or manually, keep the original, and choose which version its stable link displays.
Data you can refresh
Run saved queries again whenever you need a fresh reading from the source.
Ready for a meeting
Use presentation mode, download a PDF report, or export results as CSV and the definition as JSON.
Questions that start a conversation
What does your team need to understand?
Scope depends on the available data and your business rules. A few starting points:
Sales
How are orders trending, and which categories account for the most activity?
Operations
How is work distributed across periods, teams, or owners?
Leadership
Which metrics should we bring to the next review meeting?
Human judgment, AI assistance
AI proposes. You keep the judgment.
A useful report needs more than good visuals: it needs metrics the team understands. AI Reports exposes queries, results, and quality notices to support that review.
Let’s talk about your metrics →Frequently asked questions
Which databases does it support?
AI Reports connects to PostgreSQL and SQLite. Administrators manage a source catalog so the team can reuse connections.
Do I need to know SQL?
You can start with a natural-language question and adjust components in the visual editor. SQL is available for anyone who wants to review or customize calculations.
Does AI make up the report values?
Charts are calculated by running queries against your database. AI proposes the structure and SQL. The platform flags errors and specific quality issues; business definitions require review by your team.
Who can sign in?
Sign-in uses Google and is limited to users enabled by an administrator. The team works in a shared workspace; administrators manage users and data sources.
What information does the AI model receive?
To prepare a report, the configured provider receives the request context, schema, and data samples. During the demo, we review the data scope and the configuration suitable for your operation.
Next step
Bring a business question.
In a demo, we walk through the solution and discuss your sources, metrics, and the report you want to build.
- ✓ Platform walkthrough
- ✓ Review of sources and metrics
- ✓ Scope for an initial trial