Customer Data & AI Platform
Your data. Ready for AI.
Give AI assistants the business context to query your warehouse and the tools to build, run, and monitor data pipelines. All through Renta MCP.
Works with Claude, Codex, Cursor, and other MCP clients.
Trusted by teams at
Your data stack. Working together.
Bring in your data, give AI the context, and put the results to work.
Sources feed Renta ELT and event streaming, which load your warehouse. Context Layer makes models and metrics available to AI through MCP. Reverse ETL sends warehouse data to your business tools. Manage the platform in the Renta app, through MCP, or with the API and CLI.
Your sources
Ingest
Your modern data stack
Where you work
How Renta works
Renta connects your modern data stack to AI.
Collect data with ELT, define models and metrics in Context Layer, and sync results to your tools with Reverse ETL. Work in the Renta app or ask your AI assistant to query your data and manage pipelines through Renta MCP.
ClaudeCodexCursor+ Renta MCPWhich channels brought in the most revenue last month?
Renta MCP- Find the revenue model
- Read its metrics and dimensions
- Query revenue by channel
Revenue by channel
Using revenue_by_channel · SUM(revenue)
The platform behind the conversation
From business data to AI workflows.
Spend less time moving data.
Load data from your tools and databases into your own warehouse. Automate recurring loads and track every pipeline run.
Explore Renta ELT
Find the connectors for your stack.
Explore our catalog of ready-to-use connectors for advertising, CRM, analytics, databases, and warehouses. Missing an integration? Request a custom connector.
