AI-native decision intelligence platform with embedded analytics and semantic governance
GoodData operates a full-stack analytics platform centered on a semantic layer, built with React, TypeScript, Kotlin, and Python, and powered by Apache Calcite, DuckDB, and Arrow for distributed query execution. The stack and active projects—fast distributed query engine, internal query language (MAQL), and AI-driven capabilities—signal a shift toward agentic AI workflows and real-time decision intelligence. Engineering-heavy hiring in Czechia suggests they're scaling backend infrastructure to support both embedded analytics and AI-first product features.
GoodData is a decision intelligence platform helping enterprises build, embed, and monetize analytics and AI applications. The product combines semantic modeling, governance, and agentic AI into a single platform, designed for CIOs, product leaders, and data teams who need to innovate at enterprise speed while maintaining compliance. The company targets mid-market and enterprise customers seeking to deliver embedded analytics to end users or embed intelligence into their own applications. GoodData supports multi-tenant deployments in cloud or on-premises environments.
Frontend: React, TypeScript, JavaScript, Webpack, Redux. Backend: Kotlin, Python, Kubernetes, Docker. Data layer: Apache Calcite, DuckDB, Arrow, Pandas, Polars. AI/inference: Langfuse, Qdrant, MCP, PyTorch.
Core projects include building a fast distributed query engine, maintaining MAQL (internal query language), deploying distributed microservices, and developing AI-driven and AI-first workflow capabilities across the platform.
Other companies in the same industry, closest in size