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GoodData.AI Tech Stack

AI-native decision intelligence platform with governed semantic layer

Software Development San Francisco, California 201–500 employees Privately Held
gooddata.ai LinkedIn

GoodData.AI operates a full-stack decision intelligence platform combining semantic modeling, analytics, and agentic AI under a single governed layer. The tech stack reveals a company bridging traditional BI (Looker, Tableau, Power BI integrations) with modern AI infrastructure (Anthropic, vector search, generative systems), while the project list—fast distributed query engine, generative AI system development, text embeddings—shows active investment in real-time, AI-augmented decision workflows rather than static reporting.

Tech Stack 50 technologies

Core StackLooker Tableau Power BI Kotlin Pandas Docker Kubernetes Python gRPC AWS React JavaScript TypeScript Cursor Anthropic Jest Cypress Playwright Apache Calcite Arrow DuckDB Polars Protocol Buffers Apache Pulsar GCP Azure Codex Vitest React Testing Library Unix+16 more

What GoodData.AI Is Building

◆Challenges

  • Adoption of analytics platform
  • Operationalizing ai
  • Adoption and engagement
  • Growth opportunities
  • Rebuilding data analytics for ai era

▲Active Projects

  • Gooddata cloud
  • Adoption and expansion of analytics platform
  • Executive business reviews and roadmap discussions
  • Fast distributed query engine
  • Internal query language (maql)
  • Distributed microservices
  • Generative ai system development
  • Text embedding and vector search engine
  • Ai solution architecture
  • Custom dashboard plugins and full single-page applications

Hiring Activity

Accelerating8 roles · 6 in 30d

Department

Engineering
3
Product
2
Sales
2
Support
1

Seniority

Senior
6
Lead
1
Mid
1
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About GoodData.AI

GoodData.AI builds a composable, AI-native platform designed to embed decision intelligence and analytics into enterprise applications. The product unifies semantic modeling, governance, and agentic AI capabilities, targeting CIOs, product leaders, and data teams who need to operationalize trusted AI at scale. Core surfaces include custom analytics workflow design, multi-tenant embedded analytics, and AI agent deployment—all with enterprise governance and flexible cloud/on-premise deployment. The company operates in the 201–500 employee range, headquartered in San Francisco, with engineering and product teams driving development.

HeadquartersSan Francisco, California
Company Size201–500 employees
Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does GoodData.AI use?

GoodData.AI uses Kotlin, Python, TypeScript, and React for development; Apache Calcite, DuckDB, and Arrow for data processing; Kubernetes and Docker for infrastructure; AWS, GCP, and Azure for cloud; Anthropic for AI; and gRPC for service communication.

What is GoodData.AI working on?

Active projects include a fast distributed query engine, generative AI system development, text embedding and vector search, internal query language (MAQL), distributed microservices, custom dashboard plugins, and AI solution architecture.

How this profile is built

GoodData.AI's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.