Lusha is a powerful tool for B2B lead enrichment and contact discovery, enabling users to access a vast database of company and contact information. With Relevance AI, you can elevate this capability by leveraging AI Agents to automate and optimize your data-driven strategies.
Lusha provides extensive B2B contact and company information, while Relevance AI empowers you to process and utilize that data intelligently through AI Agents, driving better decision-making and efficiency.
Instant Data Mastery
AI agent gains immediate access to validated B2B contact information and company insights for enhanced decision-making.
Precision Targeting
Agent leverages multi-parameter filtering to identify and engage the most relevant prospects across industries and roles.
Strategic Intelligence
Deep company insights and market data empower agent to develop targeted engagement strategies.
Relevance AI seamlessly integrates with Lusha to enhance your workflows with enriched B2B lead data.
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 Lusha account
- A Relevance AI account with access to your workspace
- Authorization (you'll connect securely using OAuth—no sensitive info stored manually)
Security & Reliability
The Lusha and Relevance AI integration utilizes secure OAuth authentication, ensuring that only authorized workflows can access your B2B lead enrichment and contact discovery capabilities. Relevance AI manages API operations (such as searching, enriching, and validating company and contact information) in the background—so you don’t have to worry about errors, formatting, or limits.
With built-in validation and type conversion, this integration guarantees that your workflows run smoothly, even when dealing with varying data formats. Key benefits include automated data enrichment, advanced lead search capabilities, and real-time data validation, all seamlessly integrated through the API.
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 Lusha + Relevance AI integration without writing code:
- Start with clear parameters: Ensure your search criteria and input parameters are well-defined and formatted correctly.
- Utilize error handling: Implement robust error handling to manage authentication issues and rate limits effectively.
- Validate data inputs: Always validate your input parameters before making API calls to avoid unnecessary errors.
- Implement rate limiting: Use a rate limiting strategy to manage API request frequency and prevent throttling.
- Test with sample data: Conduct tests with sample data to ensure your integration works as expected before scaling up.
