Connect your MySQL database directly to AI Voice Assistant. Pull contact data for personalized calls, log call outcomes in real-time, and trigger voice campaigns based on database events.
Data Sync
Call Data Logged
Encrypted Connection
Schema Support
AI voice assistant reads customer data directly from MySQL tables for personalized, context-aware conversations.
Store complete call logs including transcripts, outcomes, duration, and metadata directly in your MySQL database.
Read contact data from MySQL for calls and write call outcomes back to your database tables in real-time.
Monitor MySQL tables for new records or status changes that automatically trigger AI voice campaigns.
Connect via SSL/TLS encrypted connections with read-only or read-write permissions and IP whitelisting.
Map any MySQL table structure to voice call data fields. Works with your existing schema without modification.
Enter your MySQL host, port, database name, and credentials. SSL certificates are supported for secure connections.
Select which tables and columns contain contact data, and where call outcomes should be written.
Set up polling intervals, change detection triggers, and data transformation rules for your specific schema.
Start the bi-directional data sync and begin running database-driven voice campaigns with real-time logging.
"Our legacy system runs on MySQL. The direct database integration means we did not have to build an API layer - voice AI reads from and writes to our existing tables seamlessly."
Saurabh Tiwari
"We monitor our orders table in MySQL. When a new COD order is created, the AI automatically calls to confirm. The entire flow runs without any middleware."
Pallavi Singh
AI-powered voice assistant from ₹6/min - 60% cheaper than alternatives
Sync your MySQL database with AI Voice Assistant for data-driven voice campaigns and real-time call logging.
Real demo calls showcasing low latency and natural conversations in multiple Indian languages
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Open in DriveBest AI voice agent pricing worldwide - from ₹4/min ($0.04) | 40% more affordable than US alternatives