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GoodData.AI

GoodData provides an AI-native analytics platform built for continuous, high-concurrency agentic demand that traditional data platforms cannot serve. The platform supports analytics dashboards, data applications, AI assistants/copilots, and autonomous agents, deployable in the customer's cloud, on-premises, or in air-gapped environments. It includes an Agentic Serving Plane with semantics, governance, native inference, and open interfaces via SQL, MCP, A2A, and SDKs.

Traction 10/10
San Francisco, United States · HQ
Founded 202128530K+ followers
  • AI Agents
  • Artificial Intelligence
  • Data & Analytics
  • Enterprise Software
  • Software Only
  • Developer Tools
Updated today

Funding

Raised to date

$45MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

2 founders

Gerd Eck

Founder

Roman Stanek

Founder

Product

Problem

Traditional data platforms were never designed to handle the continuous, high-concurrency request patterns generated by modern agentic AI workloads. As organizations deploy AI assistants, copilots, and autonomous agents, their underlying data infrastructure struggles to support real-time analytics, multi-step reasoning, and automated decision-making at scale. This limits the ability of businesses to move from data insights to tangible action efficiently and securely.

Solution

GoodData provides a data platform built specifically for agentic and high-concurrency analytics demand across four core use cases: analytics dashboards, data applications, AI assistants/copilots, and fully autonomous agents. The platform supports delegation of multi-step work—analyzing, recommending, and presenting decisions—and can run processes end-to-end within user-defined guardrails. It is deployable in the customer's cloud, on-premises, or in air-gapped environments, ensuring flexibility for security-sensitive organizations. Forward-deployed engineers are available to design and deliver custom agentic and analytics solutions, while embedded AI capabilities enable chat-based data interaction, automated decision support, and intelligent workflow automation without requiring SQL expertise.

Target Audience

Primary customers are enterprise organizations and professional services firms that need scalable, secure analytics and agentic AI capabilities across regulatory, government, healthcare, and B2B sectors.

Features

  • AI chat interface that allows users to query data, generate insights, and receive explanations without writing SQL
  • Automated decision-support agents that recommend actions and flag critical business events
  • Intelligent workflow automation (autopilots) that detect changes, summarize trends, and generate reports automatically
  • Agentic Serving Plane with semantics and context definition, governance controls, native inference, and predictable performance for agentic workloads
  • Open interfaces supporting SQL, MCP, A2A, and SDKs for integration with existing architectures
  • Apache Iceberg zero-copy architecture that keeps one shared copy of data available across the serving plane and chosen engines without duplication
  • Deployment flexibility across cloud, on-premises, and air-gapped environments with multitenancy controls
  • SOC 2 Type II certified, ISO 27001 compliant, HIPAA-compliant with BAA signing, and WCAG 2.1 AA accessibility standard compliance
  • 99.5% SLA commitment with 24x7 support and resilient multi-availability-zone architecture
  • Forward-deployed engineering services for implementation, UX/product design, agentic AI enablement, and solution customization
This profile is AI-generated and may contain inaccuracies.