Your AI doesn't understand your business.
Connect your warehouse, define your metrics once, and generate an AI-ready semantic layer your agents can actually query.
Connects to your stack
Works with the data you already have.
BigQuery
Snowflake
Databricks
Redshift
PostgreSQL
SAP HANABigQuerySnowflakeDatabricksRedshiftPostgreSQLSAP HANAThe real problem
It was never about storing the data.
It's about making AI understand it.
The question every team is asking
“How do I get Claude, ChatGPT, Gemini or my own agents to actually understand my business — my customers, my products, my revenue, my KPIs?”
That gap is the semantic layer. qontexta builds it once, so every agent speaks the same language as your business.
How it works
Connect. Define. Generate.
Three steps between your warehouse and an agent that knows what EBITDA means.
Plug in your warehouse
Read-only connection to where your data already lives. No pipelines to build, nothing to move.
Model your business
Don't start from a blank page. qontexta's AI reads your schema and drafts domains, metrics and relationships in seconds — you just review and refine in plain business terms.
Ship interfaces for AI
One definition, four ready-to-use surfaces. Your agents connect — and finally answer correctly.
# model.yml domain: Hotel primary_key: hotel_id relates_to: [Booking, Employee] metric: RevPAR label: "Revenue per available room" sql: revenue / nullif(available_rooms,0) format: currency metric: Occupancy sql: rooms_sold / available_rooms format: percent
Define RevPAR once. Every surface returns the same number, with the same definition, everywhere.
dashboards. ETLs. warehouses.
Just business context your AI can read.
Stop explaining your KPIs to every agent.
Build your context once, reuse it everywhere.
Pricing
Start free. Scale when your agents do.
- Unlimited domains
- Unlimited metrics
- AI-assisted modeling (BYOM)
- MCP + REST + Semantic SQL API
- All warehouse connectors
FAQ
Questions, answered.
What is qontexta.ai?
qontexta.ai is an AI context platform — a semantic layer that connects to your data warehouse and generates AI-ready interfaces (an MCP server, an OpenAI tool, a REST API and a Semantic SQL API) so AI agents like Claude and ChatGPT understand your business domains and metrics.
What is a semantic layer?
A semantic layer is a shared definition of your business — its domains (revenue, operations, marketing), metrics (revenue, EBITDA, RevPAR) and relationships — that sits between your raw data and the tools that query it, so every agent returns the same, correct numbers.
Which data warehouses does qontexta.ai support?
qontexta.ai connects to BigQuery, Snowflake, Databricks, Redshift, PostgreSQL, Oracle and SAP HANA through a read-only connection. Your data stays where it is.
How do AI agents connect to qontexta.ai?
From a single model definition, qontexta.ai is available over MCP (Claude, ChatGPT, Gemini and other agents), a REST API for custom agents, and a Semantic SQL API.
How long does it take to set up?
Most teams go from warehouse to a working MCP server in under an hour. qontexta.ai's AI drafts your domains and metrics from your schema, so you start from a model instead of a blank page.
How much does qontexta.ai cost?
qontexta.ai has a free plan, a Starter plan at 29€/month, a Pro plan at 99€/month and a Team plan at 299€/month.
Make your AI understand your business — in under an hour.
Connect a warehouse, define a metric, and connect your metrics to any agent through the MCP server. The first one is free.