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Integrations

Supercharge Big ML with Relevance AI

Big ML is a leading machine learning platform that provides tools for building and deploying predictive models.

Enhance your predictive capabilities with AI agents that can leverage machine learning insights for automated decision-making and workflow optimization.

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Give your AI Agents Big ML Superpowers

Big ML brings enterprise-grade machine learning and predictive analytics to your business. Relevance AI transforms these insights into intelligent actions through AI agents that can analyze, predict, and automate complex tasks.

Predictive Insight Mastery

Agents can leverage advanced predictive models to anticipate customer needs.

Enhanced Decision-Making

Agents utilize data-driven insights to support informed business decisions.

Dynamic Customer Engagement

Agents can personalize interactions based on real-time customer behavior analysis.

Tools

Equip AI Agents with the Big ML Tools they need

Relevance AI gives you access to Big ML's machine learning capabilities within your AI agent workflows.

Pre-Built Big ML Tool Steps
Big ML API Tool Steps
big-ml - Compress PDF
A tool for compressing PDF files by providing a URL to the source PDF and specifying the output filename, helping reduce file sizes while maintaining document quality
big-ml - Read Barcode
A utility for extracting and interpreting barcode data from images by processing an image URL containing QR codes or other barcode formats
big-ml - Read Barcode
A utility for extracting and interpreting barcode data from images by processing an image URL containing QR codes or other barcode formats
Name
big-ml API Call
Description
Make an authorized request to a big-ml API
Parameters
["OAuth Authentication", "Multiple HTTP Methods (GET, POST, PUT, DELETE, PATCH)", "Custom Headers", "Request Body Support", "Response Status Tracking"]
Use Case
A software development team uses big-ml API Call to automate their deployment process by making authenticated API requests to trigger builds and updates across their infrastructure. This integration streamlines their CI/CD pipeline by enabling secure, programmatic access to their development resources.
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Quick Start

Connect Big ML to Relevance AI in minutes

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 BigML account
  • A Relevance AI account with API access enabled
  • Authorization credentials (API key and endpoint URL)
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STEP 1

Open Relevance AI

Go to "Integrations" and connect BigML to enable machine learning capabilities in your workflow.

STEP 2

Connect Your BigML Account

A secure pop-up will ask you to log in to BigML. This authorizes Relevance AI to access your machine learning models, datasets, and predictions through OAuth authentication.

STEP 3

Create a new tool

From the home page go to create a new tool. You can either use the Invent function or build from scratch.

STEP 4

Add BigML as a Step

Choose BigML from the list of tools, then select what action you want to perform—like creating predictions, managing datasets, or deploying machine learning models.

Security & Reliability

The integration leverages secure OAuth authentication to safely access your BigML resources while Relevance AI manages API operations behind the scenes. Built-in data validation and automated request handling ensure reliable model deployment and predictions across your machine learning workflows.

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.

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Best Practices for Non-Technical Users

Build your own Relevance AI Integration

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To get the most out of the BigML + Relevance AI integration without writing code:
  • Prepare your data: Ensure datasets are properly formatted and cleaned before processing.
  • Use proper authentication: Verify OAuth credentials and permissions are correctly configured.
  • Optimize API calls: Structure requests efficiently to minimize latency and resource usage.
  • Monitor predictions: Regularly check model performance and prediction accuracy.
  • Handle responses: Implement proper error handling and response validation for reliable integration.

Free your team.
Build your first AI agent today!

If you're exploring Relevance AI for the first time or discovering new features, we'll quickly guide you to start doing great work immediately.

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