Integrations

Supercharge Helium with Relevance AI

Helium is a leading platform designed to streamline data integration and management across various systems.

Supercharge your data workflows with AI Agents that can automatically process, analyze and derive insights from your connected data sources.

Give your AI Agents Helium Superpowers

Helium excels at connecting and transforming data across multiple sources. Relevance AI enhances this with intelligent AI Agents that can analyze, process and act on that data in real-time.

Data Orchestration Mastery

The agent seamlessly integrates and orchestrates data from multiple sources for comprehensive insights.

Real-time Insight Generation

Empowered to analyze data in real-time, the agent delivers actionable insights instantly.

Predictive Analytics Capability

Utilizes advanced algorithms to forecast trends and behaviors, enhancing strategic decision-making.

Tools

Equip AI Agents with the Helium Tools they need

Relevance AI gives you access to Helium's data integration capabilities within your AI-powered workflows.

Security & Reliability

The integration leverages secure OAuth authentication through the Helium Console API, ensuring authorized access to your IoT device data and network operations. Relevance AI manages API methods and requests seamlessly—handling authentication headers, request formatting, and response processing automatically.

Built-in request validation and response handling ensure reliable communication with the Helium network infrastructure.

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 Helium + Relevance AI integration without writing code:
  • Configure OAuth properly: Ensure correct authorization settings and permissions are in place.
  • Use correct endpoints: Double-check API paths when making requests to the Helium Console.
  • Handle responses appropriately: Monitor response status codes and body content for successful integration.
  • Implement error handling: Set up proper error catching for failed API calls and timeouts.
  • Manage request limits: Be mindful of API rate limits and implement appropriate request spacing.