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Agentic data platform that builds multi-step analysis pipelines from a plain-language question and shows its work.
Yorph AI is an agentic data-analysis platform from an Austin, Texas company founded in 2025. Business users describe a question in plain language, the kind that goes beyond a simple chart request, such as identifying the drivers behind a change in revenue, and the system builds a multi-step analytical pipeline to answer it, syncing and joining data along the way. Every intermediate step stays visible with validation checks attached, so the reasoning behind a result can be audited rather than trusted blindly. It's aimed at business users who need deeper analysis than a basic BI dashboard but don't want to write code. Direct access to the vendor's site repeatedly failed during research, so this record relies on third-party listings and the company's own indexed pages.
Per third-party listings, entry pricing runs about $29.99 per user per month; not independently confirmed on the vendor's own site.
Use tool ↗Yorph's pitch is transparency in exchange for depth: instead of a black-box answer, it shows the pipeline of steps and validation behind a complex analytical question. That's a meaningful difference from simple text-to-chart tools, but because the vendor's own site couldn't be reached directly during this research, pricing and feature claims here are secondhand.
Watch out: Verify pricing and uptime directly with the vendor before committing; the primary site was unreachable during this research.
Side-by-side fact sheets against the competitors our research names — pricing, platforms, API and both verdicts on one page.
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