Matterport is a leading spatial data platform that creates detailed 3D digital twins of physical spaces.
Enhance your virtual tours and spatial data with AI Agents that can interpret, analyze and automate tasks based on 3D models.
Matterport creates immersive 3D digital twins of physical spaces. Relevance AI transforms these spatial models into interactive experiences with AI Agents that can analyze, explain, and take action based on the virtual environment.
Dynamic Data Insights
The agent analyzes spatial data in real-time, providing actionable insights for informed decision-making.
Proactive Issue Detection
Identifies discrepancies and potential issues in projects, enabling timely interventions and reducing delays.
Seamless Integration Experience
Simplifies the use of Matterport's capabilities, making advanced features accessible to non-technical users.
Relevance AI gives you access to Matterport's spatial data and 3D modeling 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 Matterport account
- A Relevance AI account with access to your project settings
- Authorization credentials (connect securely via API key—no sensitive data stored manually)
Security & Reliability
The integration leverages secure OAuth authentication with Matterport's API, enabling authorized access to 3D spaces and model data. Relevance AI manages API operations seamlessly in the background, handling authentication tokens and request formatting automatically.
Built-in request validation and response parsing ensure reliable data exchange between your workflows and Matterport's platform.
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 Matterport + Relevance AI integration without writing code:
- Optimize 3D models: Ensure Matterport scans are complete and properly processed before integration.
- Use proper authentication: Verify OAuth credentials and permissions are correctly configured.
- Structure API calls: Follow RESTful patterns and use appropriate HTTP methods for each request.
- Handle responses: Implement proper error handling and validate response data.
- Monitor usage: Keep track of API rate limits and optimize requests for better performance.
