Faraday is an integration platform that allows you to embed AI predictions and analytics into your existing workflows. By combining Faraday's capabilities with Relevance AI, you can transform customer data into actionable insights powered by AI Agents.
Faraday empowers you to make data-driven decisions through advanced AI predictions. With Relevance AI, you can leverage these insights to create intelligent workflows that adapt and respond to customer needs.
Predictive Intelligence Mastery
The agent gains advanced forecasting abilities to anticipate customer needs and behaviors before they occur.
Personalization at Scale
Delivers individually tailored interactions by leveraging comprehensive customer data profiles and predictive analytics.
Automated Decision Enhancement
Strengthens decision-making capabilities through real-time access to machine learning predictions and customer insights.
Relevance AI seamlessly integrates with Faraday to enhance your workflows with predictive analytics.
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 Faraday account
- A Relevance AI account with API access
- Authorization credentials from both platforms (you'll connect securely using API keys)
Security & Reliability
The Faraday integration platform uses secure OAuth authentication, ensuring only authorized workflows access your AI predictions and analytics capabilities. This integration allows you to make authorized API calls to Faraday's services, enabling you to generate predictions based on customer data seamlessly.
With built-in validation and type conversion, you can automate customer insights and ensure your workflows run smoothly, even when data formats vary. The flexible API access allows you to make REST API calls effortlessly, while the system's JSON parsing capability ensures compatibility across your technology stack.
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 Faraday + Relevance AI integration without writing code:
- Start with clean customer data: Ensure that customer information is complete and formatted consistently to improve prediction accuracy.
- Utilize pre-built prediction templates: Leverage Faraday's templates for common prediction scenarios to streamline your integration process.
- Authenticate securely: Double-check your OAuth credentials and permissions to ensure seamless access to Faraday's API.
- Test predictions with sample data: Validate your integration by running predictions on test datasets before applying them to live customer data.
- Monitor API usage: Be mindful of rate limits by batching requests and implementing exponential backoff strategies to avoid throttling.
