Pitchlane is a sophisticated platform for creating, managing and analyzing sales pitches in B2B environments.
Enhance your pitch management with AI Agents that can automate delivery, provide real-time analytics, and optimize performance based on data.


Pitchlane excels at streamlining pitch creation and management for sales teams. Relevance AI transforms this into intelligent, data-driven processes with AI Agents that can analyze, optimize and automate pitch delivery at scale.
Dynamic Pitch Optimization
The agent continuously analyzes pitch performance to suggest real-time improvements.
Automated Engagement Insights
It tracks customer interactions and provides actionable insights to enhance engagement.
Seamless Workflow Automation
The agent automates repetitive tasks, allowing teams to focus on strategic initiatives.
Relevance AI gives you access to Pitchlane's pitch management capabilities within your AI-powered workflows.
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 Pitchlane account
- A Relevance AI account with access to your project
- Authorization (you'll connect securely using OAuth—no sensitive info stored manually)
Security & Reliability
The integration uses secure OAuth authentication, ensuring only authorized workflows access your Pitchlane data. Relevance AI handles API operations (like GET, POST, PUT, DELETE, PATCH) in the background—so you don't have to worry about authentication headers, request formatting, or API limits.
Built-in validation and path handling ensure your workflows run smoothly, even when making requests to different Pitchlane endpoints.
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 0CodeKit + Relevance AI integration without writing code:
- Start with a clear setup: Ensure your 0CodeKit account is properly configured with the necessary OAuth credentials and permissions.
- Utilize example code: Leverage the provided code snippets for PDF compression and barcode reading to jumpstart your integration.
- Validate inputs: Always check your input parameters for correctness before making API calls to avoid unnecessary errors.
- Test with sample data: Run your automations using test PDFs and images to ensure everything works smoothly before going live.
- Monitor API usage: Keep an eye on your API calls to avoid hitting rate limits, and implement caching where appropriate.