The problem
Customers expect dashboards and natural-language answers inside your product. Building them in-house means a charting library, a query layer, per-tenant security, and a long tail of report requests that never ends.
How Datafor helps
- Embed in days: the JavaScript SDK renders reports in your pages, with events and programmatic filters. URLs and iframes work for the simplest cases. Embedded analytics →
- Your users, your login: your backend signs a JWT per user, and Datafor applies that user’s row-level security.
- Multi-tenant by design: each customer is a tenant with its own users, content, quotas, and expiry, created from a template tenant.
- White-label: your name, logo, and theme color.
- AI inside your product: the same governed AI Agent, so customers only ever see their own data.
- OEM terms built for software vendors. Pricing →
What changes
- Analytics becomes a feature you ship and sell, not a backlog.
- New customers get dashboards on day one from the template tenant.
- Your engineers maintain one model instead of one report per customer.