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Qualtify

Qualtify

Build data model with AI agents: Miro canvas x Cursor style

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Qualtify enables non-technical business stakeholders to build and maintain complex data models on a visual canvas, no data modeling expertise required. Connect live data from HubSpot, Snowflake, Google Sheets, and more, while AI agents generate cells with detailed requirements and code and link them together into a data model. Collaborate in real time, trace requirements, understand data lineage, and build from idea to a model.
Qualtify gallery image
Qualtify gallery image
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Qualtify
Maker
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We built Qualtify after repeatedly seeing non-technical teams blocked by data bottlenecks, simple questions turning into weeks of back-and-forth with analytics and engineering. Business stakeholders understand the logic they want, but don’t have data modeling expertise. We started experimenting with a canvas-based approach where logic could be expressed visually and incrementally, then let AI handle planning detailed requirements, generating code, and designing the model to work together. Along the way, collaboration, lineage, and auto-updating models became essential for building complex use cases across finance, marketing, and product. Qualtify is our attempt to let everyone participate in building reliable data models without relying on data modelers. Excited to hear your feedback and learn what you’d want next!