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Product and business teams have spent years accumulating something no other team can replicate: a deep record of how their business defines a metric, which queries have survived production, and which definitions quietly shifted quarter over quarter and why. It's buried in dbt models, Looker field descriptions, Slack #archives, and the institutional memory of the 2 sage analysts who’ve been there since Series A. That knowledge is the team's edge. But until now, it's been trapped, contested, and had to be revived every Monday morning. Vuon makes it possible to scale this advantage. Vuon connects to your data, learns your metrics and your business context, and autonomously runs the kind of rigorous analysis — segmentation, cohort, launch impact measurement — that would normally require several days of back-and-forth with multiple engineers and data teams. Tag it in Slack or use it directly; it goes off, writes the SQL, compares related metrics, and comes back with an answer you can trust because it pulls context from across your business *and* your codebase. PMs use it to prove the impact of their launches. Finance teams use it for weekly business reviews. And we do all this inside our customers' own cloud environments, SOC II and HIPAA compliant.

It really is as easy as "Vuon, build me an interactive dashboard that the team can use to drill down on traffic sources by channel, campaign, utm_content. Selecting a channel/campaign/utm_content should give me a descending log of all of the activity (grouped by userid/unique id) from the most recent users whose initial UTM matches that selection with a hyperlink to the user's profile on Posthog."

The best AI for the small, high-impact data team. Data analysts use it to outsource low-level ad hoc queries. PMs use it to prove the impact of their launches. Biz teams use it to draft their weekly business reviews and be more data-driven.

The best AI for the small, high-impact data team. Data analysts use it to outsource low-level ad hoc queries. PMs use it to prove the impact of their launches. Biz teams use it to draft their weekly business reviews and be more data-driven.

Build secure data apps with Vuon (built by the team that did it at Stripe). Vuon connects to your data, learns your metrics and business context, and can autonomously run the kind of rigorous analysis — segmentation, cohort analysis, launch impact measurement — that would normally require several days of back-and-forth with an analyst. Tag it in Slack or use it directly; it goes off, writes the SQL, compares related metrics, and comes back with an answer you can trust because it pulls context from across your data warehouse, product docs, and codebase. HIPAA + SOC 2 compliant. Founded by the team that built Stripe's internal tools and backed by Nat Friedman, Daniel Gross, & Guillermo Rauch (Vercel).

95% analysis is as valuable as 0% analysis. Vuon comes with a SQL compiler that understands how the data was generated and how metrics are defined in your company so it can give you deterministic answers.