Qualetics is a powerful platform for implementing AI capabilities and managing data within applications. With Relevance AI, you can elevate your data analysis and model deployment, enabling smarter decision-making and real-time insights.
Qualetics provides robust data management and AI model execution, while Relevance AI empowers you to leverage these capabilities through intelligent AI Agents that automate and optimize your processes.
Real-Time Quality Orchestration
Empowers AI agents to automatically detect and respond to data quality issues across pipelines in real-time
Predictive Anomaly Shield
Enables agents to anticipate and prevent data anomalies before they impact critical business operations
Intelligent Pipeline Optimization
Enhances data flow efficiency by automatically identifying and resolving bottlenecks in data processing
Relevance AI seamlessly integrates with Qualetics to enhance your data workflows with advanced AI capabilities.
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 Relevance AI account
- An Airtable account with access to the base and table you'd like to use
- Authorization (you'll connect securely using OAuth—no sensitive info stored manually)
Security & Reliability
The Qualetics and Relevance AI integration leverages secure OAuth authentication, ensuring that only authorized workflows can access your data. This integration streamlines the deployment of AI models and automates data processing workflows, allowing you to focus on building your applications without worrying about the underlying complexities.
With built-in real-time data analysis capabilities, the integration handles API operations (like sending data, running data machines, and making custom API calls) seamlessly in the background. This means you can trust that your data is processed accurately and efficiently, even when dealing with varying data formats.
Additionally, the integration provides robust error handling and logging features, ensuring that you can easily troubleshoot any issues that arise during implementation. By following best practices, such as using environment variables for sensitive data and implementing request logging, you can enhance the security and reliability of your application.
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.
To get the most out of the Qualetics + Relevance AI integration without writing code:
- Start with a clear data structure: Ensure your data is well-organized with consistent formats to facilitate smooth processing.
- Utilize pre-built models: Leverage existing AI models within Qualetics to quickly implement AI capabilities without starting from scratch.
- Authenticate securely: Use OAuth credentials carefully and ensure they have the necessary permissions for data access.
- Test your workflows: Validate your data sending and API calls with sample data before deploying to production.
- Monitor API usage: Keep an eye on rate limits and implement throttling to avoid hitting request caps.
