Symbl Ai is an advanced conversational intelligence platform that analyzes and extracts insights from voice and text interactions in real-time.
Enhance your conversation analysis with AI agents that can automatically identify patterns, extract action items, and drive meaningful engagement.
Symbl Ai excels at extracting insights from conversations in real-time. Relevance AI transforms these insights into intelligent actions through AI agents that can understand context, analyze sentiment, and automate responses at scale.
Real-time Insight Generation
The agent can instantly analyze conversations to provide actionable insights.
Enhanced Emotional Intelligence
Equipped with sentiment analysis, the agent understands customer emotions for better engagement.
Data-Driven Decision Support
The agent leverages real-time data to inform strategic decisions and improve business outcomes.
Relevance AI gives you access to Symbl Ai's conversational intelligence capabilities within your AI agent workflows.
What you’ll need
You don't need to be a developer to set up this integration. Follow this simple guide to get started:
- A Symbl AI account
- A Relevance AI account with access to your project
- Authorization (you'll connect securely using OAuth—no sensitive info stored manually)
Security & Reliability
The integration leverages secure OAuth authentication to access Symbl.ai's conversation intelligence capabilities while Relevance AI manages API operations seamlessly in the background. The combined solution automatically handles request formatting, authentication tokens, and data transformations between platforms.
Built-in validation ensures accurate processing of conversation data and analytics across both services.
No training on your data
Your data remains private and is never utilized for model training purposes.
Security first
We never store anything we don’t need to. The inputs or outputs of your tools are never stored.
Best Practices for Non-Technical Users
To get the most out of the Symbl.ai + Relevance AI integration without writing code:
- Optimize audio input: Ensure clear audio quality and minimal background noise for best analysis results.
- Structure API calls: Use appropriate endpoints for conversation analytics, sentiment analysis, or topic detection.
- Handle authentication: Maintain valid OAuth credentials and refresh tokens as needed.
- Monitor requests: Track API usage and response times to stay within service limits.
- Validate outputs: Verify conversation insights and analytics before processing in bulk.
