Integrations in Aire Labs
Aire Labs isn’t limited to what you build inside the platform. You can connect external models and live data sources so that all your inputs, tools, and calculations work together in one place—with automated updates flowing through your model whenever something upstream changes.External Model Integrations
If your workflow depends on models built in Python, MATLAB, or other environments, those don’t have to live separately. Aire Labs can call external models via API and bring their outputs directly into your project as terms.How It Works
Once an external model is integrated, its outputs become terms in your project like any other. They sit inside blocks, participate in downstream calculations, and update automatically when their inputs change. You define which of your project’s terms feed into the external model, and which outputs come back—Aire Labs handles the handshake. This means a custom degradation curve built in Python, a dispatch optimization model in MATLAB, or a proprietary engineering tool can all participate in the same techno-economic model without manual data transfer or version management.Use Cases
- Custom performance models: Connect a high-fidelity generation or degradation model built in-house
- Optimization tools: Integrate dispatch optimization or design tools and have results flow directly into your financial model
- Proprietary engineering tools: Bring specialized simulation outputs into your TEA without rebuilding the logic in Aire Labs
