Can I white-label iDBQuery?
iDBQuery can be embedded into your own product through its Embedded SDK, so its querying and reporting appear inside your application rather than as a separate tool. For white-label branding and OEM arrangements, talk to the team about what your product needs.
If you want iDBQuery's capabilities to feel native to your own product, the Embedded SDK is the foundation.
- Inside your app. Rather than sending users to a separate tool, you surface plain-language querying, cited answers, charts and dashboards within your own application.
- Your data boundary. Because it can run in your environment, embedding does not mean handing your customers' data to an outside service.
- Branding and OEM. The degree of white-labelling — logos, naming, styling, packaging — depends on your product and commercial arrangement, so the right path is a conversation with the team.
The typical goal is a seamless experience where your customers get powerful, trustworthy analytics that appear to be a feature of your platform, while iDBQuery does the heavy lifting behind the scenes. For example, a vertical software vendor might offer 'ask your data' to its customers as part of its own brand, backed by iDBQuery's federation, semantic layer and citations. Because every figure remains traceable to source rows, what you present under your own brand stays defensible and accurate. Rather than promise a specific white-label package here, the honest answer is: embedding is fully supported, and branding and OEM terms are worked out with your requirements in mind.
Updated 2026-06-22