Software engineers have been transformed by AI: Cursor, Copilot, and Claude Code*. Data teams? Still stuck. In many businesses, there is a large gap between the data they have and the answers they need. Ask a business leader how long it takes to understand why revenue dropped last quarter, and they will answer in weeks. Behind that delay is a stack of disconnected people and tools: a data engineer piecing together the right dataset, an analyst writing and iterating on queries, and a business intelligence (BI) developer translating the work into a static dashboard.
BI has evolved through three generations: enterprise warehouses and reporting, self-serve analytics tools, and the modern data stack. But even the modern data stack left many organizations behind It expanded what’s possible with data infrastructure, but the tools analysts use to consume and explore that data didn’t keep pace.
Golden Analytics is built from the ground up to be part of what Insight Partners is calling the Next Stack of data and AI, the next generation of analytics. Point it at a data warehouse like Snowflake or Databricks* and the Agents do the work of an entire data team: surfacing the questions worth asking, preparing and joining data in plain language with no structured query language (SQL), building charts and explaining what each one shows, and turning the analysis into an interactive story anyone can explore. Work that used to span multiple tools and teams can now happen in one place, in minutes.
Golden meets users where they are with what the team calls a “slider of autonomy,” which means the user decides how much the AI takes on, from a fully automated analysis to embedded agents exploring the next possible actions as you build. The experience feels less like building a dashboard or report and more like thinking out loud. Design-quality visuals. Analyst-grade depth. Same tool, cohesively helping analysts stay in the flow of work.
Our conviction in Golden is inseparable from the team behind it. CEO François Ajenstat spent almost a decade at Tableau as chief product officer, helping pioneer the self-serve analytics movement. He is one of the most recognized and trusted voices in the analytics community, someone who understands exactly where the category broke down and what it needs to become. In an era where AI makes it easier to build software, taste and craftsmanship matter more than ever. Ajenstat and the team have both in spades.
What seals our conviction: Golden is designed to get smarter with every analysis, and so do the organizations using it. A compounding advantage that legacy tools and generic models simply can’t replicate. The next generation of analytics will not look like a better dashboard; instead, it will look like better questions. We’re thrilled to partner with Ajenstat and the entire Golden Analytics team as they build what’s next.
*Note: Insight Partners has invested in Databricks and Anthropic.
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