How AI-native teams win with data

The BI industry spent two decades building tools that sit between people and their data. Dashboards nobody opens. Platforms nobody adopts. Self-service that still requires a ticket.

AI changed the interface. Not the problem. Text-to-SQL gives you answers nobody trusts. Wrappers give you speed with no governance. The data is still locked behind pipelines, permissions, and people who are too busy to help.

The next generation of BI has no single interface. It has whatever interface you need.

The data team stops being a service desk. They define metrics once, govern access, and deploy a semantic layer that makes governed data available to every AI in the company. They stop shipping answers and get back to the work they were hired to do.

What happens next is up to the business. A question. A dashboard. An app. A workflow. Whatever they need, shaped in minutes on data they trust. Why would you lock that into a rigid UI someone else designed?

We call this Liquid BI. Governed data that takes any shape you need. This is Bonnard.

Built by AI-Native Founders

A small team between London, Berlin, and Zurich. We've helped build and scale startups and watched good data teams drown in bad tooling. Bonnard exists because we've sat in the same seat as our users: maintaining pipelines nobody owns, answering the same question for the fifth time that week, staring at dashboards nobody opens.

We think governed data should take any shape the business needs. A question, a dashboard, an app. No new tabs. No new habits to form.

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