How Stoneturner Works
Stoneturner is a data synchronization platform that gives AI agents access to external data sources through SQL and vector search. It works in four stages: connect, sync, pre-process, and search.
Managing Data Connections
Stoneturner supports multiple authentication methods so you can connect anything your data lives in. It handles credential management and refreshes for you, keeping every integration source synced and current without manual intervention.
Reliable Syncing
Data retrieval respects each provider's rate limits and pulls incremental updates, so syncs stay fast and stay within bounds. Native data schemas from your integration providers are preserved end to end.
Pre-processing for Optimized Search
Raw data isn't built for agents. Stoneturner leverages LLMs to transform it into agent-friendly formats — extracting insights and tags, creating vector embeddings, and converting everything from transcripts to message threads into structured Markdown.
Search Capabilities
Just five tools for agents to sync and search all of your synced data. Minimal complexity, so agents can explore context on their own across every integrated source.
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