Diabatix ColdStream provides automated thermal and flow topology optimization for heat sink design via a powerful API. With Relevance AI, you can enhance this integration by leveraging AI Agents to streamline simulations and project management.
Diabatix ColdStream automates thermal and flow topology optimization for heat sink design, while Relevance AI empowers these processes with AI Agents that can intelligently manage simulations and project workflows.
Thermal Design Mastery
Agent harnesses advanced CFD algorithms to generate optimal cooling solutions in minutes instead of weeks
Real-Time Optimization
Agent continuously monitors and adjusts thermal designs based on performance data and changing requirements
Predictive Performance Analysis
Agent forecasts thermal behavior and identifies potential issues before physical prototyping begins
Relevance AI seamlessly integrates with Diabatix ColdStream, enhancing your thermal optimization workflows through intelligent automation.
What you’ll need
You don't need to be a developer to set up the Diabatix Coldstream AI integration. Follow this simple guide to get started:
- A Diabatix Coldstream account
- Access to your thermal design project and parameters
- Authorization credentials (connect securely through the platform—no sensitive information stored manually)
Security & Reliability
The Diabatix ColdStream integration with Relevance AI utilizes secure OAuth authentication, ensuring that only authorized workflows can access your thermal and flow topology optimization data. Relevance AI manages API operations (such as running simulations, updating projects, and fetching results) seamlessly in the background—eliminating concerns about errors, formatting, or limits.
With built-in validation and type conversion, your optimization workflows run efficiently, even when dealing with varying data formats. This integration empowers you to automate thermal optimization processes, manage projects effortlessly, and retrieve results with ease, all while leveraging the capabilities of Relevance AI.
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.
