GoodData.AI

Build and scale trustworthy AI analytics and automated workflows with consistent business context, governance, and deployment flexibility.

Accelerate analytics and AI deployments with expert implementation, tailored engineering, and ongoing support for evolving business needs.

GoodData.AI Agentic Analytics Platform

GoodData.AI’s Agentic Analytics Platform helps organizations build, orchestrate, embed, and scale governed AI experiences, from conversational assistants to automated workflows and autonomous agents. It combines a shared semantic layer and business context with configurable agents, analytics, and developer tools. Teams can control agent behavior, knowledge, skills, models, and permissions; trace AI outputs; and integrate with existing data sources and applications. The platform supports cloud, self-hosted, and embedded deployments, with open interfaces and options to use the LLM or orchestration layer that fits an organization’s stack.

Category: Data Analytics Platforms

• Ground AI In Trusted Business Context
  Give AI access to governed metrics, trusted knowledge, and business rules so responses and decisions reflect the organization’s definitions and approved data.
• Build Agents For Specific Workflows
  Configure agents for different teams, users, customers, and use cases, with control over the capabilities and context available to each agent.
• Automate Multi-Step Analytics Work
  Move from analysis to recommendations and action by orchestrating multi-step tasks and extending business agents with analytical functions.
• Control AI Access And Actions
  Set what users and agents can access or do, maintain permission boundaries, and review the sources and inputs behind AI outputs.
• Get Answers From Governed Data
  Let users explore business data conversationally and receive explanations and analytical follow-ups grounded in shared definitions and permissions.
• Trace AI Responses And Usage
  Inspect how interactions were produced, identify failure points and recurring issues, and monitor adoption, quality, and cost to guide improvements.
• Version And Deploy Analytics As Code
  Apply software engineering practices to analytics and agent development, including versioning, testing, review, rollback, and automated checks.
• Embed Governed Analytics Across Tenants
  Deliver branded analytics and AI experiences inside products, then manage and scale them across customer environments with tenant-level isolation.
• Deploy And Choose Models Flexibly
  Select cloud or self-hosted deployment and use the LLM or orchestration layer that fits your stack, with model selection available for different workloads.
• Launch Agents With Ready-Made Skills
  Start with prebuilt agents and analytical skills, then tailor their behavior, context, and guardrails for specific workflows.
• Explore Data With Interactive Analytics
  Enable users to build and explore dashboards, reports, and visualizations, while using scheduled delivery, alerts, forecasting, and data blending for analysis.
• Connect AI Across Your Ecosystem
  Integrate the platform with existing data sources, applications, development tools, and AI systems using open interfaces and developer tools.
• Reveal Drivers Trends And Anomalies
  Surface explanations, important contributors, trends, and unexpected shifts in metrics to help teams investigate business performance.
• Reduce Query And AI Compute Costs
  Use caching, query optimization, and model orchestration to reduce redundant work and manage performance and compute costs.

GoodData Professional Services

GoodData Professional Services provides strategic consulting, hands-on engineering, training, and tailored implementation to help customers design, deploy, and improve analytics and agentic AI solutions. Services include end-to-end setup, data pipeline development, data modeling, dashboard creation, UX and product design, custom agent development, and integration with customer architectures and environments. Customers can engage a dedicated team through agile sprints and continuous delivery or commission flexible, outcome-oriented projects for specific technical, commercial, or use-case needs.

Category: Data Analytics Services

• Accelerate Analytics Deployment
  Get support across setup, pipeline development, data modeling, and dashboard creation, with clear metric definitions to help move an implementation toward production.
• Deploy Custom Analytics Agents
  Build analytics and agents tailored to customer requirements, integrate them into existing architectures, and deploy them in the customer’s environment.
• Extend Your Team With Engineers
  Work with GoodData engineers as an extension of your team through agile sprints and continuous delivery, including feature development and longer-term planning.
• Tailor Data Product Experiences
  Apply UX research and product design to adapt front-end and agentic data products to customer needs.
• Adapt Solutions As Needs Evolve
  Refine solutions over time to respond to changing customer requirements and maximize the value of the GoodData investment.
• Address Specific Project Goals
  Choose a flexible consulting engagement focused on a particular use case, technical need, or commercial outcome, including revenue generation and monetization strategy.
• Build Expertise And Accelerate Transformation
  Receive strategic guidance, practical support, and expert training to help your team make effective use of GoodData solutions and advance its AI transformation.
• Automate Workflow Reporting
  Develop autopilots to detect changes, summarize trends, and create reports automatically as part of customer workflows.
• Integrate AI With Existing Systems
  Securely connect AI capabilities with a customer’s data warehouse, APIs, and models.
• Explore Data Without SQL
  Enable users to ask questions about their data, generate insights, and receive explanations without writing SQL.
• Surface Recommended Actions
  Deploy agents that recommend actions and flag important information to support customer decision-making.