GoodData.AI

What GoodData.AI does

GoodData.AI is an AI-native, full-stack decision intelligence platform that helps businesses turn data into actionable, enterprise-grade insights. It enables users to build, operationalize, embed, and monetize trusted analytics, workflows, and AI agents at scale, all while being fully governed, auditable, and ready to scale. The platform is composable, AI-native, flexible, and powered by a governed semantic layer, designed for modern enterprises to deliver value. It is built for CIOs, product leaders, and data teams who need to innovate quickly while maintaining governance and compliance, providing tools to deliver trusted AI, embedded analytics, and decision intelligence at enterprise speed. GoodData.AI unifies semantic modeling, governance, analytics, and AI capabilities.

Products

• GoodData.AI PlatformAn AI-native, full-stack decision intelligence platform for building, operationalizing, embedding, and monetizing trusted analytics, workflows, and AI agents at scale.
• GoodData ProfessionalA per-workspace pricing plan for small & medium companies, offering analytics features, BI capabilities, full embedding functionality, multi-tenancy, branding, and AI experiences, agents, and governance.
• GoodData EnterpriseA custom pricing plan for large companies, including all Professional features plus custom agents, Agent Builder, AI Assistant with 20+ Analytics Skills, Dashboard Copilot, Summarization Copilot, Semantic Quality Agent, Anomaly Detection, Key Driver Analysis, Forecasting, Clustering, AI Usage Analytics, Observability, BYOLLM, MCP Server, A2A Protocol, dedicated cluster, multi-region deployment, self-hosted deployment, 24/7 prioritized SLAs, dedicated customer success manager, 99.5% guaranteed uptime SLA, onboarding support, usage analytics, 3 environments, CI/CD, WCAG AA Accessibility, SAML, multiple OIDC, audit log, HIPAA, FedRAMP, FlexConnect, data embedding, ontology extraction, direct and import modes, vector store, and knowledge graphs.
• AI AssistantA built-in data analyst that delivers governed, explainable insights via natural language, built on the semantic layer. It is conversational, context-aware, and agentic-ready, providing answers aligned with team thinking and speaking, and supporting metadata-only AI queries.
• Embedded AnalyticsA solution to integrate AI-powered analytics into real applications, allowing embedding of insights, dashboards, and AI anywhere with self-service capabilities, customization, white-labeling, and multitenancy.
• React SDKA JavaScript library for building responsive analytical applications, allowing display of visualizations or existing visualizations from the GoodData platform using visual components, and creation of new visual components.
• Python SDKA clean and convenient way to interact with the GoodData API in Python applications, enabling automation of provisioning, integration into CI/CD pipelines, and data creation/transformation.
• Web ComponentsA method to integrate dashboards and visualizations natively into any non-React app, compatible with any modern web browser.
• iFrameA simple method to embed dashboards by copy-pasting an HTML code snippet, suitable for simpler integrations or proof-of-concepts.
• GoodData CloudA SaaS product operated and maintained by GoodData, offering continuous code updates and deployment options on AWS, Azure, and multi-region.

Key capabilities

• AI-native analytics
• Agentic AI
• Decision Intelligence Platform
• Governed semantic layer
• Embedded analytics
• Composable platform
• AI-Ready Orchestration
• Scalable Insights
• Lineage & Policy Compliance
• Secure by design
• Multi-tenancy
• White-labeling
• Data Connectivity (Amazon Redshift, Azure SQL, Databricks, Google BigQuery, Greenplum, Microsoft SQL Server, PostgreSQL, Snowflake, Synapse SQL, Vertica, etc.)
• Data blending across multiple sources
• Fully managed SaaS on AWS, Azure
• Single sign-on (SSO)
• Dashboards (unlimited self-service reports and dashboards)
• Custom dashboard plugin extensions
• Custom themes and branding per customer
• Custom domain URL
• Localized display language
• Governed content publishing across tenants
• Smart Search for easy discovery
• Forecasting capabilities
• Clustering capabilities
• React SDK for building custom UIs
• Python SDK for backend management
• Declarative API for all metadata definitions
• AI Lake
• Composable data service layer
• Cache results
• FlexQuery storage
• Custom agents
• Agent Builder
• Context Management
• AI governance
• AI Assistant with 20+ Analytics Skills
• Dashboard Copilot
• Summarization Copilot
• Custom Agents
• AI Memory
• AI Knowledge
• Semantic Quality Agent
• Anomaly Detection
• Key Driver Analysis
• Observability
• BYOLLM (Bring Your Own Large Language Model)
• MCP Server with 30+ Tools
• A2A Protocol
• Dedicated cluster (on demand)
• Multi-region deployment (on demand)
• Self-hosted deployment (on demand)
• CI/CD – Data product management
• WCAG AA Accessibility
• SAML and multiple OIDC
• Audit log
• HIPAA (on demand)
• FedRAMP (on demand)
• FlexConnect functionality to build self-service connectors
• Data embedding
• Ontology extraction
• Direct and Import modes
• Vector store
• Knowledge graphs
• BI, AI, Analytics Lake
• Flexible design
• Automation
• Governed, explainable insights via natural language
• Interactive product tours
• Semantic modeling layer
• Code-based automation (analytics-as-code)
• Composable front end (modular UI components)
• Self-service and reporting
• Interactive visualizations
• Drag-and-drop UI for charts and dashboards
• Agentic AI (build and embed agents)
• Personal AI assistant
• Natural-language interface
• Metadata-only AI queries
• Visualization Builder
• Flexible Layouts
• Metrics Layer
• Scheduling and Alerting
• Data Blending
• Open architecture
• Open APIs and declarative SDKs
• Workflow Automation Engine
• Multi-Channel Delivery (email, Slack, webhooks, cloud storage)
• Support for file formats (PDF, XLSX, CSV, PNG)
• Personalized delivery based on user roles and filters
• Developer & Embedded API for automation
• AI-driven automation layer
• Anomaly Detection Triggers
• Forecast-Based Alerts
• Threshold Recommendations
• Narrative Summaries
• AI-Powered Scheduling
• Automated Incident Handling
• All-code, low-code or no-code UI
• CI/CD, versioning, and testing
• Flexible, multi-cloud deployment
• AI-assisted insights and search
• Unlimited users & data
• 99.5% guaranteed uptime SLA
• Trusted analytics (certifications, inherited permissions, cascading content changes)
• Accessible analytics (WCAG 2.1 AA, EN 301 549, PDF/UA, Section 508 Compliance)

Use cases

• Turn data into actionable, enterprise-grade insights
• Build, operationalize, embed, and monetize trusted analytics, workflows, and AI agents at scale
• Deliver agent-oriented workflows, personalized apps, and trusted insights through conversational and embedded channels
• Bring AI-driven clarity, actionable insights, and real-time decisions
• Embed AI-enabled dashboards and agents that analyze signals, explain changes, and recommend next actions directly inside products
• Define business logic once in a governed semantic layer for reliable insights
• Accelerate journey to AI-ready analytics
• Optimize client operations with embedded agentic AI
• Build analytics, data products, AI, and embedded agents
• Scalable enterprise reporting
• Data blending across multiple sources
• Self-service reports and dashboards
• Forecasting and Clustering capabilities
• AI experiences, agents, and governance
• Context Management and AI governance
• Custom agents and Agent Builder
• Deliver governed, explainable insights via natural language
• Integrate AI-powered analytics into real apps
• Empower teams, partners, and customers with industry solutions
• Embed analytics in products to boost ROI, improve conversions, and connect metrics
• Use patient data to enhance care delivery, boost efficiency, and analyze outcomes
• Equip suppliers with AI analytics, uncover deeper business insights, and personalize marketing
• Monetize IoT, sales, and manufacturing data, gain insights from financial data, and strengthen vendor relationships
• Analyze risk patterns and optimize claims with analytics through data monitoring
• Analyze trends, manage portfolio performance, and identify high-potential investments in real estate
• Deliver tailored analytics to franchises, track sales KPIs, and visualize operations to streamline supply chains
• Use location, lodging, or spending data to track trends, forecast demand, and boost occupancy in travel, tourism & hotel
• Manage emissions, energy, and impact; analyze social projects, labor, and track ethics, governance, and risks for ESG
• Gain lifecycle visibility, boost efficiency with centralized data, and share insights with stakeholders in manufacturing
• Boost revenue, cut credit loss, and ensure compliance with data insights and automated alerts in banking
• Boost R&D, enhance trials with real-time data, reduce compliance risk, and drive collaboration with analytics in pharmaceutical & science
• Quickly analyze data with self-service tools, boost growth with visual dashboards, and improve collaboration in online marketplaces
• Optimize operations and boost revenue with analytics insights tailored to franchise businesses
• Utilize consumer behavior analytics to tailor marketing campaigns and increase engagement
• Harness data to improve performance, anticipate customer needs, and provide proactive support in customer services
• Enhance supplier performance with scorecards and forecast demand accurately to prevent overstocking in supply chain
• Analyze workforce data to optimize recruitment strategies and reduce turnover
• Enhance decision-making and boost sales performance with forecasting and in-depth analytics insights
• Design, test, and deploy custom agentic solutions
• Centralize and customize data models for reliable metrics and strong data governance
• Apply analytics-as-code principles to automate, build, and deploy with code
• Roll out AI analytics directly to user workflows and expand to meet demand
• Customize everything to suit users and use-case via modular UI components
• Create AI-infused dashboards and interactive visualizations
• Seamlessly embed interactive charts and dashboards into apps, web portals, and workflows
• Build and embed agents into products and processes to orchestrate workflows, agents, and escalations
• Unify data into a governed, self-learning semantic layer to ground agents and prevent hallucinations
• Protect data, monitor agents, and ensure traceable, auditable decision paths
• Chat with data, generate insights, and get explanations with no SQL needed
• Deploy agents that recommend actions and flag what matters most
• Develop autopilots that detect changes, summarize trends, and create reports automatically
• Securely embed and integrate with data warehouses, APIs, and models
• Automate report delivery and set alerts for key metric thresholds
• Combine data from multiple sources within reports for comprehensive analysis
• Automate the provisioning of users, permissions, workspaces, hierarchies, and data sources
• Integrate GoodData analytics into continuous delivery practices (CI/CD)
• Export data, leverage machine learning to transform data, and import back for visualization
• Manage users and user groups, workspace permissions and hierarchyPermissions
• Improve patient care and streamline operations with HIPAA-compliant AI-fueled data analytics solutions for healthcare
• Track and improve patient outcomes with AI and ML
• Provide predictive alerts at point-of-care
• Automated anomaly detection to flag risk in healthcare
• Natural language insights for fast decisions in healthcare
• Create a unified view of data and ensure consistent data understanding across healthcare organizations
• Embed clinical dashboards, visualizations, or NLQ into medical systems
• Provide point-of-care analytics directly or via APIs in healthcare
• Manage access and permissions with role-based controls
• Ensure secure enterprise-scale automation with multi-tenant workspace isolation
• Monitor and audit all automation activity from a centralized dashboard
• Programmatically create and manage workflows via APIs and SDKs
• Embed automation logic into apps or internal tools with white-label options
• Integrate into external platforms, downstream apps, and services via programmable connectors
• Spot unexpected data changes and trigger alerts before issues arise
• Receive proactive notifications based on predicted trends and risk thresholds
• Leverage historical data patterns to automatically suggest optimal alert thresholds
• Get clear explanations on why key metrics changed with narrative summaries
• Use conversational AI to explore data and automate alert and report scheduling on demand
• Stay informed with AI-driven detection and alerts of any system issues or anomalies
• Embed alerting, scheduling, and automated data workflows directly into customer-facing applications
• Offload manual delivery, reduce user login load, and maintain performance with scalable scheduled exports and triggers
• Gain real-time visibility into KPIs and exceptions without running manual reports
• Support copilot automation, anomaly detection, and intelligent orchestration of data insight workflows
• Build BI and analytics content, enabling seamless transitions between UI- and code-based development
• Centrally make edits and deploy updates across the entire analytics environment
• Build analytics applications with a custom frontend, or natively embed GoodData dashboards, insights, or AI into React apps
• Integrate dashboards and visualizations natively into any non-React app
• Embed dashboards easily by copy-pasting an HTML code snippet

AI approach

GoodData.AI offers an AI-native, full-stack decision intelligence platform that helps businesses turn data into actionable insights. It provides AI experiences, agents, and governance, including features like AI Assistant, Dashboard Copilot, Summarization Copilot, Custom Agents, Agent Builder, AI Memory, AI Knowledge, Semantic Quality Agent, Anomaly Detection, Key Driver Analysis, Forecasting, and Clustering. The platform leverages a governed semantic layer to ground agents and prevent hallucinations, and supports BYOLLM (Bring Your Own Large Language Model). It also integrates AI into business intelligence, embedded analytics, and workflow automation.

Tech named: AI experiences, AI agents, AI governance, AI Assistant, Dashboard Copilot, Summarization Copilot, Custom Agents, Agent Builder, AI Memory, AI Knowledge, Semantic Quality Agent, Anomaly Detection, Key Driver Analysis, Forecasting, Clustering, BYOLLM, LLMs, MCP (Model Context Protocol)

Industries served

• E-commerce
• Customer Services
• Hospitality
• ESG
• Software companies
• Healthcare
• Retail
• Financial services
• Insurance
• Real estate
• Restaurants
• Travel, Tourism & Hotel
• Manufacturing
• Banking
• Pharmaceutical & Science
• Online marketplaces
• Franchise
• Marketing
• Supply chain
• Sales
• Professional Services
• Finance
• SaaS
• Agriculture
• Construction
• Education
• Entertainment
• Government

What it says sets it apart

• AI-native, full-stack decision intelligence platform
• Governed semantic layer for reliable insights and data governance
• Composability and open architecture for flexibility and integration
• Agentic AI capabilities for automated decision-making and workflows
• Comprehensive embedded analytics solutions (React SDK, Web Components, iFrame) with white-labeling
• Analytics-as-code principles for automation, version control, and collaboration
• Multi-tenancy and hierarchical workspaces for scalable and secure data management
• Extensive data connectivity and blending capabilities
• Advanced AI features like AI Assistant, Dashboard Copilot, Summarization Copilot, Anomaly Detection, Key Driver Analysis, Forecasting, Clustering, and BYOLLM
• Robust security and compliance (SOC 2, ISO 27001, HIPAA, FedRAMP, GDPR, CCPA)
• High availability and guaranteed uptime SLAs (99.5%)
• Accessibility compliance (WCAG AA, EN 301 549, PDF/UA, Section 508)
• Professional Services for custom agentic and analytics solutions, implementation, UX/product design, and ongoing support
• AI-driven automation layer for real-time analytics delivery, alert fatigue reduction, and intelligent orchestration
• Developer-centric tools (Python SDK, React SDK, APIs) for integration and automation
• Award-winning and analyst-recognized (Gartner Magic Quadrant Visionary, Trust Radius, G2)
• Experience with large-scale enterprise deployments and complex data challenges