GOODDATA AI

AI wherever you need it

Explore data, visualize answers, and take action via natural language from any user interface.

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<span>AI wherever</span> you need it

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See GoodData AI in action

Explore how to effectively use GoodData's advanced AI features.

Meet GoodData AI

An ever-growing suite of features to enhance data exploration.

AI Assistant

Explore, visualize, and interact with data effortlessly using natural language. Search or create dashboards, visualizations, and metrics to answer business questions and take ‘next actions’ directly within the chat interface.

Currently in Private Beta.

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Smart Search

Connect users to the most relevant pre-existing content with a metadata-driven search designed for enhanced accuracy. Quickly find anything from dashboards to metrics by searching via names, descriptions, and tags.

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Get started with GoodData AI

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AI for analytics solutions

Why use GoodData AI for data-driven decision-making?

Intelligent use of LLMs, SLMs, and traditional ML balances performance, accuracy, and cost, delivering high-quality insights without unnecessary expense.

Technology for the task

Independence from the traditional BI environment means analytics AI can be delivered directly to user workflows.

Standalone capability

Customizable to data product needs thanks to a modular design, API-driven architecture, and embeddable components.

Flexible and customizable

Reduced reliance on high-cost AI models for simpler tasks, ensures optimal resource allocation and lower total cost of ownership.

API-level integration

Intuitive natural language interfaces and semantic search make analytics insights accessible to all, from engineer to consumer.

Democratized data access
Technology for the task
Standalone capability
Flexible and customizable
API-level integration
Democratized data access

Deliver GoodData AI wherever it’s needed

Provide the power of AI directly within your users’ workflows.

What’s on the roadmap?

An ever-growing suite of features to enhance data exploration.

AI metadata creator

Auto-generate business-friendly descriptions and metadata for semantic layer objects.

Analyst Copilot

Co-create analytics content with AI suggestions and automatic data exploration.

Auto-generated data stories

Turn complex data analysis into easy-to-understand narratives customized for your users.

Bring your own ML

Seamlessly connect and launch notebooks directly within the GoodData interface.

Key drivers and explainability

Identify and explain key factors influencing data points, metrics, and trends.

AI-curated content

Deliver a tailored home page experience based on your users’ activity trends and interests.

Common questions

FlexAI is GoodData's AI-driven engine designed to enhance analytics by offering automated insights and recommendations. Smart Search enables users to quickly find relevant data, reports, or metrics using natural language queries, simplifying the user experience and speeding up data discovery.

GoodData implements comprehensive privacy and security control, role-based access control (RBAC), and audit logs to track data access and changes. These measures ensure compliance with industry standards like GDPR and HIPAA.

GoodData's platform ensures accuracy through advanced data governance features, including version control, data lineage tracking, and strict validation checks before processing. Additionally, AI-powered features are regularly fine-tuned to ensure reliable and consistent outputs.  Because of the bounds that the semantic layer provides, the LLM is much less likely to hallucinate compared to AI assistants that do not have such bounds.

The use of retrieval augmented generation (RAG) means that the LLM doesn’t calculate the data but instead generates JSON files/text response. In turn, this ensures that OpenAI doesn’t see specific data, only the metadata, and GenAI creates JSON from this and passes it back into our system. Calculations are then carried out on GoodData’s side, minimizing the risk of hallucination.

Yes, GoodData's platform is highly flexible and can handle complex, custom data schemas. It supports a wide range of data sources and formats, allowing you to integrate and model your specific datasets with ease.