For Product Leaders
Real-time,
embedded intelligence
Move beyond dashboards and give users answers, guidance, and actions directly inside your app, analytics and workflows.
The end of the dashboard era
Dashboards have hit their limits
They are static and reliant on human input, slowing down decision-making.
Traditional BI has fragile data pipelines
Leading to daily pipeline breaks and inconsistent metrics.
Exploding architectural costs
Firms spend millions on data upgrades, but only get faster dashboards, not true insights.
Data architecture lacks AI-readiness
Organizations lack modern data architecture, slowing progress in the AI era.
GoodData solves these foundational challenges
GoodData has built the foundational components that the market now recognizes as prerequisites for AI.
Grow your product and business by embedding intelligence
- Monetize premium features like copilots, scenario modeling, alerting, automated workflows, and agentic AI
- Integrate intelligence into the core product, rather than as a separate analytics module.
- Reduce BI debt with a structured architecture, enabling quick iteration and AI feature development.
Build and embed active intelligence with AI
Power assistants, copilots, autopilots, and agents that replace manual workflows with real-time action.
AI Assistant
AI that answers questions
Let users ask natural-language questions and get clear, grounded, transparent answers.
AI Co-Pilot
AI that works alongside you
Enhance user productivity with suggestions, drafting, and analysis — while they stay in full control of every decision.
AI Auto-Pilot
AI that runs tasks for you
Automatically execute predefined workflows automatically based on preset parameters and automated triggers.
AI Agents
AI that works autonomously
Integrate intelligent agents that plan, adapt, and take multi-step actions independently to deliver outcomes.
GoodData’s platform architecture
Foundation Layer
An autonomous AI built to achieve goals. It can plan, adapt, and take multi-step actions independently to deliver outcomes.
Orchestration Layer
Connect data to AI models, logic, and workflows with APIs, SDKs, and robust observability and permissions.
Execution Layer
Deliver branded AI experiences with embeddable components, assistants and agents, scalable via multi-tenant execution.
