Leverage PostgreSQL's advanced capabilities with AI Voice Assistant. Run complex queries for smart call targeting, store rich call analytics, and use JSONB fields for flexible conversation data storage.
Rich Data Storage
LISTEN/NOTIFY Triggers
Transaction Compliance
Records Supported
Use PostgreSQL's powerful query engine with CTEs, window functions, and full-text search to identify ideal call targets.
Store rich call transcripts, metadata, and conversation trees in PostgreSQL JSONB columns for flexible querying.
Use PostgreSQL's built-in LISTEN/NOTIFY for real-time event-driven call triggers without polling overhead.
All call data writes use ACID-compliant transactions, ensuring data consistency even during high-volume campaigns.
Leverage PostgreSQL's built-in full-text search to query call transcripts and find specific conversation patterns.
Pre-built schema optimized for call analytics with materialized views for fast reporting on large datasets.
Configure Connection
Provide PostgreSQL connection string with SSL support. Works with self-hosted, AWS RDS, Supabase, and Neon databases.
Set Up Schema
Use our migration scripts to create call logging tables or map to your existing schema with custom column mappings.
Configure Triggers
Set up LISTEN/NOTIFY channels or polling queries to trigger voice calls based on database events.
Launch & Query
Start data-driven campaigns and query call results using PostgreSQL's full analytical capabilities.
"We use PostgreSQL LISTEN/NOTIFY to trigger voice calls the instant a new lead is inserted. Zero polling overhead, sub-second latency from database insert to call initiation."
Ravi Shankar
"Storing call transcripts in JSONB lets us run complex analytical queries across millions of conversations. PostgreSQL's full-text search on transcripts is incredibly powerful."
Elena Rodriguez
AI-powered voice assistant from ₹6/min - 60% cheaper than alternatives
Power your AI voice campaigns with PostgreSQL's advanced data capabilities and real-time event triggers.