What GoodData.AI does

GoodData.AI is an AI-native decision intelligence platform serving over 140,000 companies and approximately 3.6-3.9 million users globally. Founded in 2007 by Roman Stanek and originating in Brno, Czech Republic, the company is now headquartered in San Francisco and operates across the US, Czech Republic (Prague and Brno), and a Singapore Data Center for APAC coverage. GoodData.AI combines enterprise field sales targeting Fortune 500 customers with an embedded/OEM motion that enables SaaS vendors to white-label analytics and AI agents inside their own products, supplemented by a partner channel, a developer community (Slack, University, Certification), and self-hosted deployments for regulated buyers.

The platform is built as a unified full-stack data intelligence foundation: AI Lake (governed semantic storage and compute), AI Hub (orchestration, governance, Context Management, Agent Builder), and AI Apps (embeddable agents, assistants, and automations), all sitting on the proprietary FlexQuery analytics engine (Kotlin/Apache Calcite), the MAQL query language, an analytics-as-code YAML layer with a VS Code plugin, and multi-tenant architecture with bring-your-own-LLM support. Recent AI-native additions include the Intelligence Layer (Analytics Catalog, Semantic Quality Agent, AI Memory), a public MCP Server, AI-Driven BI Modernization, and Agent Builder; the September 2025 acquisition of Understand Labs added data storytelling and agentic analytics IP. The platform supports deployments via GoodData Cloud (SaaS), GoodData.CN (cloud-native), and self-hosted AI for on-premises or private cloud.

The company monetizes primarily through quote-based enterprise SaaS subscriptions sold as multi-year contracts (3-year deals cited in Q1 2026), with Professional Services for forward-deployed engineering engagements and self-hosted licensing for regulated enterprises. Revenue is concentrated in financial services (a 3-year contract with one of the world's largest asset managers and a global payments partner with 2,000+ client organizations and 13,600 users onboarded), embedded SaaS vendors (Kantata, Zeals, LiveVox, Mews, Outfield), and Fortune 500 customers across healthcare, hospitality, e-commerce, and ESG verticals. SOC 2 Type II, ISO 27001, HIPAA, EU GDPR, FedRAMP, and accessibility certifications (WCAG 2.1 AA, Section 508, EN 301 549) underpin enterprise procurement eligibility.

Name

GoodData.AI

Legal name

GoodData Corporation

Website

https://gooddata.ai

Company type

Private

Founded year

2007

Operating status

Operating

Headcount range

251–500 employees

Short description

GoodData.AI is a San Francisco-based AI-native decision intelligence platform serving 140,000+ companies and 3.6M+ users, providing embedded analytics, a governed semantic layer, and AI agents for SaaS vendors and Fortune 500 enterprises across financial services, healthcare, and other regulated verticals.

Ownership category

akta.pro rank

Product category

Analytics and Business Intelligence Platforms

NAICS

Computer Systems Design and Related Services (54151), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182)

SIC

Services-Computer Integrated Systems Design (7373), Services-Prepackaged Software (7372)

akta.pro primary industry

End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management) (HDAEANAA)

akta.pro secondary industries

Enterprise AI Data & Knowledge Platforms (Vector Databases, Knowledge Graphs) (HDAEANAH), AI/ML Engineering & Model Development Services (BPAEAHAF), Identity, Access & Secrets Management for AI Systems (IAM for agents/models) (HDAAAKAJ), Regulatory Readiness & Audit Automation (e.g., EU AI Act, NIST AI RMF, ISO/IEC 42001) (HDAAAMAE)

Keywords

• Decision intelligence platform
• Embedded analytics software
• Agentic AI analytics
• Governed semantic layer
• Enterprise BI platform

Headquarters

HQ city

San Francisco

HQ country

United States

HQ region

North America

Offices4 records

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Marketing or Sales, Infrastructure, Operations

Revenue model

1. Enterprise SaaS Subscriptions: Recurring annual subscription contracts sold to enterprise and strategic customers; pricing is quote-based and not publicly disclosed. Customer Success Managers manage portfolios >$1M ARR. Multi-year contracts are common (3-year renewals cited in Q1 2026).
2. Enterprise License Expansion (Land-and-Expand): Annual recurring revenue (ARR) growth via expansion of enterprise licenses within existing accounts — e.g., a long-term global payments customer renewed for three years while expanding its enterprise license in Q1 2026; record net new ARR performance reported in Q3 2025.
3. Professional Services: Forward-deployed engineering and consulting engagements for custom agentic solutions; offered as 'Professional Services' with implementations for Fortune 500 customers, e.g., an 80-hour engagement cited for Persefoni.
4. Self-Hosted / On-Premise Licenses: Revenue from on-premises and private-cloud deployments (GoodData.CN and self-hosted AI variants) targeted at enterprises with strict data residency and compliance requirements such as GDPR, HIPAA, and financial services regulation.

Pricing tiers

Go-to-market motion5 records

Distribution channels5 records

Marketing channels11 records

Core offering

GoodData.AI is an AI-native decision intelligence platform that helps enterprises turn trusted data into confident action. It provides a full-stack architecture composed of AI Lake (governed semantic storage and compute), AI Hub (orchestration and governance), and AI Apps (embeddable AI agents, assistants, and copilots), sold to enterprises and software vendors for embedded, multi-tenant analytics and AI-driven decision-making.

Product overview

GoodData.AI (rebranded from GoodData in April 2026) is an AI-native decision intelligence platform delivered as a unified full-stack architecture rather than a single product. The platform foundation is built on three core components — AI Lake (a governed semantic layer and data foundation), AI Hub (orchestration and governance for AI workflows), and AI Apps (embeddable AI agents, assistants, copilots, and automations) — sitting atop shared engines including the FlexQuery Analytics Lake, Analytics-as-Code (declarative YAML), the GoodData.UI React SDK, and Headless BI capabilities. On top of this foundation sit a portfolio of modules and capabilities: AI-Driven Business Intelligence, Embedded Analytics, Data Visualization, Data and BI Automation (Intelligent Data Automation), Data Monetization, Agentic Analytics, and Security and Compliance. AI-native capabilities are layered on through the Intelligence Layer (Analytics Catalog, Semantic Quality Agent, AI Memory), the AI Assistant and Smart Search (with self-hosted and embeddable variants), Agent Builder for enterprise-scale agent deployment, Context Management, the MCP Server for end-to-end AI execution, AI-Driven BI Modernization, Agentic AI for Financial Services, Key Driver Analysis, and Aggregate Awareness. Acquired technology from Understand Labs extends storytelling and agentic analytics, while deployment options include GoodData Cloud (SaaS), GoodData.CN (cloud-native), and self-hosted AI for on-premises or private cloud. GoodData.AI serves over 140,000 companies and 3.6 million users worldwide with enterprise-grade security (HIPAA, EU GDPR, ISO 27001, SOC 2 Type II, FedRAMP).

Differentiator

Problem solved

Functional benefit

Brands

• GoodData.CN: Cloud-native analytics platform launched in 2021, designed for automated, real-time enterprise analytics.
• GoodData Cloud
• GoodData AI

Products and services

• GoodData.AI Platform AI-native decision intelligence platform unifying AI Lake, AI Hub, and AI Apps on a governed semantic layer, sold to enterprises and SaaS vendors for embedded, multi-tenant analytics and AI-driven decision-making at scale.
• AI Lake High-performance, open storage and compute layer that turns structured and unstructured enterprise data into a governed, self-learning semantic layer, grounding AI agents in accurate, context-aware knowledge.
• AI Hub Suite of orchestration and governance tools that enable enterprises to design, monitor, and enforce safe AI workflows with built-in guardrails, escalation paths, and compliance controls for auditable AI operations.
• AI Apps Secure, embeddable AI agents, assistants, copilots, automations, and workflows that can be white-labeled and integrated directly into analytics, products, and business processes for AI-driven customer experiences.
• Agentic AI for Financial Services Finance-focused AI applications for banks, insurers, and financial institutions that combine AI Lake, AI Hub, and AI Apps for fraud detection, regulatory reporting, and client engagement, with audit trails and multi-tenant deployment.
• GoodData AI for Self-Hosted Analytics Self-hosted deployment of the GoodData AI platform running on-premises or in private cloud with zero third-party data exposure, supporting GDPR, HIPAA, and financial services regulations.
• GoodData Cloud SaaS-hosted, multi-tenant deployment of the GoodData analytics platform, providing a fully managed cloud analytics service for enterprise and SaaS vendor customers.
• GoodData.CN Cloud-native deployment of the GoodData analytics platform designed for automated, real-time enterprise analytics, supporting large-scale, multi-tenant workloads.
• AI-Driven BI Modernization AI-powered solution that extracts and refactors business logic from legacy BI tools (Tableau, Power BI, Looker, Qlik) into a governed semantic layer using analytics-as-code, delivering 2-5x faster iteration cycles and up to 10x faster dashboard loading.
• Professional Services Forward-deployed engineering and consulting engagements that design, test, and deploy custom agentic analytics solutions on top of the GoodData platform for enterprise and Fortune 500 customers.

Quantifiable outcome

• 10-50x faster time to value with MCP Server end-to-end analytics execution
• +6 more outcomes

Named customers14 records

Segments6 records

Ideal customer profiles5 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration8 records

AI capability13 records

Feature12 records

Partnerships

Six partnerships are on record, tiered acquired entity (now part of gooddata), industry-specific channel partner (public safety), strategic integration partnership, major technology alliance and core strategic integration.

• Understand Labsacquired entity (now part of gooddata)Strategic or Co-development Partner · 9 September 2025GoodData acquired Understand Labs on September 9, 2025 — a pioneer in data storytelling and agentic analytics experiences founded by Peter Fedorocko (former co-founder/CTO of Stories.bi, later acquired by Workday). The acquisition strengthens explainable AI, key-driver analysis, and agentic workflows; Fedorocko joined GoodData as Field CTO.
• Mark43industry-specific channel partner (public safety)GTM or Marketing Partner · 7 July 2025Mark43 joined GoodData's ecosystem as a partner to deliver secure, self-hosted AI capabilities for public safety agencies, enabling officers to query data in natural language within a compliant cloud environment.
• Witbooststrategic integration partnershipTechnology or Integration · 14 October 2024GoodData and Witboost announced a partnership on October 14, 2024 to revolutionize data management and analytics with seamless integration between the platforms.
• Arriamajor technology allianceStrategic or Co-development Partner · 7 June 2023GoodData partnered with Arria to modernize augmented analytics, combining Arria's natural language generation with GoodData's analytics platform to deliver AI-powered narrative insights.
• Snowflakecore strategic integrationTechnology or Integration · 14 June 2022GoodData launched a new integration in partnership with Snowflake on June 14, 2022, enabling GoodData users to leverage Snowflake as a data source for analytics.
• Verticastrategic integration partnershipTechnology or Integration · 15 July 2021GoodData and Vertica partnered on July 15, 2021 to accelerate cloud-native self-service analytics adoption in the enterprise by integrating GoodData's analytics with Vertica's analytics database.

Scale indicators21 records

Recent moves8 records

Expansion highlights6 records

Direct peers

• Sigma Computing: Sigma Computing is a cloud-native analytics and BI platform with strong spreadsheet-style UX, AI features, and embeddable use cases — overlapping directly with GoodData's enterprise BI, embedded analytics, and AI-driven decision intelligence offerings.
• Domo: Domo is a cloud BI and analytics platform with embedded capabilities, AI/agent features, and a SaaS subscription model — directly competing for the same enterprise customers GoodData targets with its AI-driven BI and agentic analytics stack.
• Sisense: Sisense is a closely comparable embedded analytics platform serving SaaS vendors and enterprises with multi-tenant BI, AI features, and developer-friendly APIs — directly overlapping with GoodData's core OEM/embedded GTM and composable analytics stack.
• ThoughtSpot: ThoughtSpot offers AI-powered analytics (including its natural-language search and AI Analyst agents) for enterprises, competing head-on with GoodData.AI's Smart Search, AI Assistant, and Agent Builder capabilities in the agentic analytics category.

Broad incumbents

• Tableau (Salesforce): Tableau is a market-leading BI platform now bundled with Salesforce's Einstein AI and CRM — a broad incumbent that competes with GoodData.AI across enterprise BI modernization deals and increasingly in the agentic analytics category.
• Microsoft Power BI: Microsoft Power BI is the dominant enterprise BI platform, tightly bundled with Microsoft Fabric and Copilot — the largest incumbent GoodData competes against in mid-market and enterprise analytics, especially in BI modernization opportunities.
• Looker (Google Cloud): Looker is a Google Cloud BI platform with semantic-layer modeling and Gemini-powered AI features — a broad incumbent that competes with GoodData.AI's governed semantic layer and embedded analytics, especially within Google Cloud enterprise ecosystems.

Emerging players

• Hex: Hex is an AI-powered collaborative analytics workspace combining notebooks, data apps, and AI agents — competing with GoodData.AI for technical enterprise users adopting AI-native analytics and embedded app experiences.
• Mode Analytics: Mode Analytics is a data analytics platform combining SQL, Python/R notebooks, and dashboards for analyst teams — overlapping with GoodData's analytics-as-code and BI modernization value prop for technical enterprise analytics teams.
• Cube: Cube is a semantic-layer platform purpose-built for AI and embedded analytics use cases — an emerging player whose universal semantic layer competes directly with GoodData's governed semantic layer as a foundation for AI agent-driven analytics.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat6 records

Key risks6 records

Key highlights7 records

Customer concentration

• Xx.com/gooddata
• YouTubeyoutube.com/@gooddata
• Facebookfacebook.com/gooddata
• LinkedInlinkedin.com/company/gooddata

Compliance6 records

Revenue estimate

Valuation estimate

Number of profiles

Profiles10 records

Subsidiaries1 record

Funding overview

Funding rounds13 records

Investors17 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A1 record

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about GoodData.AI