Analytics, AI, and agents on one data serving plane
Built for continuous, high-concurrency agentic demand that traditional data platforms were never designed to serve.
In production at
Start with the experience your
business needs, and grow from there
Analytics
Understand what’s happening. Dashboards, self-service, and ad hoc analysis give people the answers they need to explore the business.
Data applications
Put data to work. Build operational and customer-facing applications around the decisions and processes that run your business.
Assistants and copilots
Move from answers to action. Delegate multi-step work that analyzes, recommends, and hands you the decision.
Autonomous agents
Hand off the work entirely. Agents that analyze, decide, and act on their own, running processes end to end within the guardrails you set.
The Agentic Serving Plane makes every AI experience predictable by design
01
Semantic and context
Define business meaning once, use it everywhere.
02
Governance
Control what people and agents can access and do.
03
Native inference
Use the right model for each workload.
04
Performance
Serve agentic demand at predictable latency and cost.
05
Open interfaces
Connect through SQL, MCP, A2A, and SDKs.
Open architecture
Keep data in place, and use the best engine
for every workload
Apache Iceberg zero-copy keeps one shared copy of your data available across the Agentic Serving Plane and the engines you choose, without moving or duplicating it.
Managed by GoodData.AI
A production service, not another stack to operate. We handle deployment, upgrades, scaling, observability, and support.
1000s
of concurrent agent queries
100ms
typical served response
0%
cost growth from cache reuse
Analyst Report
Visionary in the Magic Quadrant™ for BI and Analytics Platforms.
Read report
From idea to production, together
00Optional
Migrate what you have
Migration agents translate Power BI, Tableau, Looker, and other BI content.
01
Define the use case
Start with one process that costs you time.
02
Model your business
Define metrics, entities, and permissions once. Reuse them everywhere.
03
Ship to production
Runs on your data, with the approvals and traces you set.
04
Expand what runs
The next use case inherits the model, governance, and interfaces.
Security and compliance
Permissions, approvals, and audit controls stay consistent across analytics, applications, assistants, and agents.
