Supernova is an AI-powered data platform featuring an encrypted Iceberg lake, a schema-aware SQL engine, and native Model Context Protocol support for AI integration.
What the product does and how it is positioned
Supernova provides a unified data stack designed to centralize information from various business tools and databases into an encrypted Iceberg lake.
The platform enables users to interact with their data through natural language queries and structured SQL while maintaining comprehensive schema history.
Source-supported ways to use the product
Use frontier AI models to generate dashboards and data models based on natural language questions about business performance.
Maintain up-to-date information by syncing data from sources like Postgres and MongoDB using the FTL connector system's real-time capabilities.
The documented workflow, where available
Connect various data sources using the FTL connector system to sync tables into the Iceberg lake.
Link AI models like Claude or Codex to the platform's MCP endpoint to enable natural language interactions with the synced data.
Use TypeSQL for structured querying or natural language prompts to build dashboards and analyze data trends.
Checks to run with your own material and workflow
What was checked and when
Answers based on the source-checked product record
Data is stored in an encrypted Iceberg lake within object storage, utilizing table-level encryption for security.
AI models connect via the Model Context Protocol (MCP) through a specific endpoint provided by the platform.
Yes, the platform includes a time travel feature that retains the version history for every table in the lake.
Yes, the FTL connector system supports real-time synchronization for specific data sources including Postgres and MongoDB.
Yes, the platform supports live Git version control, allowing users to read or write dashboards and data models directly.
