Try Live Demo
Experience the platform without signup. Run analysis, generate reports, and ask AI questions on demo data—no sign-in required.
Demo datasets
Download any dataset to explore upload, AI dashboards, reports, and pipelines.
Sales dataset
SaaS and services revenue by date, region, and product. Ideal for revenue reports and pipelines.
Columns: date, region, product, revenue, units, cost
Download sample-revenue.csvMarketing dataset
Campaign performance: impressions, clicks, spend, conversions, and revenue by channel.
Columns: date, campaign, channel, impressions, clicks, spend, conversions, revenue
Download sample-marketing.csvFinance dataset
Operating account movements: revenue, payroll, expenses, and running balance.
Columns: date, account, category, amount, currency, balance, type
Download sample-finance.csvWhat you'll see
- AI-generated executive summary — narrative built from KPIs and insights
- Key performance indicators — auto-detected or inferred from the schema
- Ranked insights and recommendations — ready for stakeholder reports
- Report versions — regenerate with different templates (Analyst, Scientist, Engineer) and compare
- PDF export — download the report for sharing
Step-by-step walkthrough
- 1
Download a demo CSV
Choose one of the datasets above (sales, marketing, or finance) and download the CSV. Use it to explore upload, reports, and pipelines.
- 2
Sign up or log in
Create a free account or sign in. You can use email/password or, if your org has SSO enabled, Google or Azure AD.
- 3
Create a project
From the dashboard, create a new project (e.g. “Demo – Revenue”). Projects group reports, datasets, and pipelines.
- 4
Upload the CSV
Go to Datasets and use the upload flow. Select the demo CSV. Schema detection and basic profiling run automatically.
- 5
Create a report and generate AI summary
Create a new report, then use “Generate” to produce an AI-built report (executive summary, KPIs, insights, recommendations). Choose Analyst, Scientist, or Engineer template.
- 6
Optional: run a pipeline
In Pipelines you can define a simple pipeline and run it to see run history, logs, and status.