Nyckel is an integration platform that offers AI-powered classification for images and text, making it easy for developers to implement machine learning without deep expertise. With Relevance AI, you can elevate these capabilities, enabling smarter workflows and enhanced decision-making.



Nyckel provides advanced classification for images and text, while Relevance AI empowers these capabilities with intelligent AI Agents that can automate and optimize processes effectively.
Instant Classification Mastery
Empowers the agent with immediate ability to accurately classify images and text without specialized training
Multi-Modal Intelligence
Expands the agent's capabilities to process and understand both visual and textual information simultaneously
Adaptive Response Generation
Creates contextually relevant responses based on sophisticated classification insights
Relevance AI seamlessly integrates with Nyckel to enhance your workflows with powerful AI-driven classification 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 Nyckel account
- A Relevance AI account with access to your project
- Authorization (you'll connect securely using API keys from both platforms)
Security & Reliability
The Nyckel and Relevance AI integration leverages secure OAuth authentication, ensuring that only authorized applications can access your AI-powered classification capabilities. This integration simplifies the implementation of machine learning classification for images and text, allowing developers to focus on building their applications without needing extensive ML expertise.
Relevance AI manages API operations (like image and text classification, as well as text extraction from images) in the background, so you don’t have to worry about errors, formatting, or limits. The integration provides built-in validation and confidence scoring for classification results, ensuring your workflows run smoothly and effectively.
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 Nyckel + Relevance AI integration without writing code:
- Start with clear configurations: Ensure your OAuth credentials and API settings are correctly set up before proceeding.
- Utilize sample data: Test with sample images and text inputs to validate your classification models before using real data.
- Monitor API responses: Check the response body for labels and confidence scores to understand model performance.
- Implement error handling: Use try-catch blocks to manage potential errors gracefully and log them for troubleshooting.
- Optimize resource usage: Clean up temporary files and manage API call rates to maintain performance and avoid throttling.