We built Telio to power AI agents for 24/7 call and text support.

Voice calls and texts need fast access to context. Our approach: aggregate data from multiple sources into a unified data lakehouse using APIs, webhooks, and logical replication.

Key advantages:

- Sandboxed read-only environments for AI agents, so they can't disrupt other systems

- Storing and processing large data volumes on S3 at a fraction of typical costs

- Retrieving all context at once, reducing tool calls and LLM token usage

- Building and querying vector embeddings for semantic search

- Granular column-level permissions to manage PII access

We query the lakehouse as if it were PostgreSQL, but with much better performance on complex queries using our open-source project https://github.com/BemiHQ/BemiDB.

We’d love feedback from the HN community!