Databox, the analytics platform used by 20,000+ teams, announced a major repositioning of its platform around agentic analytics.

Businesses have more access to data and AI than ever, but turning information into better decisions remains difficult. Performance data is scattered across systems, metric definitions vary, and critical business context is often missing from the analysis. General-purpose AI can make information easier to access, but without a trusted foundation, it cannot reliably do data analysis or determine what should happen next.

The new Databox brings these elements together in one customizable platform. It connects performance data from across the business, creates consistency through governed metrics, incorporates goals and business context, and applies AI to ongoing analysis and reporting. This gives teams and agents a shared understanding from which to make decisions and act.

“Most companies don’t lack dashboards; they lack the time and skills to interpret them. Agentic analytics automates the analysis, so acting on the data isn’t limited to the few people capable of doing it when they have time,” said Peter Caputa, CEO of Databox. “AI can shorten that path significantly, but only when it has access to properly organized data and enough business context. Our strong data foundation combined with new agentic capabilities delivers reliable, consistent, actionable analysis.”

Databox brings these elements together:

  1. A connected data foundation spanning 130+ native and custom integrations, APIs, databases, data warehouses, and spreadsheets.

  2. Governed metrics and definitions used consistently across dashboards, reports, AI analysis, and workflows.

  3. Business context, historical knowledge, and information from connected systems.

  4. Analytical intelligence that identifies changes, trends, anomalies, correlations, and forecasts.

  5. AI capabilities including AI Analyst, Skills, Routines, Artifacts, and MCP connectivity.

Agents represent the next stage of this strategy. Built on the same performance foundation, they can monitor results, identify risks and opportunities, recommend next steps, and carry out defined work under human oversight.

“The next phase of analytics cannot end with an answer. It must help businesses decide what matters and move the right work forward,” said Davorin Gabrovec, founder and CPO at Databox.“As AI takes on more analysis and execution, companies will need a system that connects performance intelligence with the people, agents and workflows responsible for results. Databox provides that system.”

This approach allows businesses to adopt the model progressively. Teams can start with their immediate analysis and reporting needs, then add proactive monitoring, recommendations, and agent-led workflows as they are ready, shortening the path from data to action without giving up control. Databox plans to build on this foundation and expand the platform into a company operating system that helps businesses run more autonomously, with people in control.

About Databox

Databox is an agentic analytics platform that helps you and your agents act on performance insights faster. Learn more at databox.com.

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