# Custom models In theory, the **Nx AI Manager** can run any vision model. While it offers seamless support for image classification and object detection, it is also capable of running other model categories, such as: * Image/instance segmentation * Keypoint detection * Vision-language models (VLMs) * Custom model developed from scratch using PyTorch or Tensorflow For these advanced model types, however, [external pre-processing](/nx-ai-manager/advanced-configuration/external-preprocessing.md) and [post-processing](/nx-ai-manager/advanced-configuration/external-postprocessing.md) are required to: * Prepare and format the model inputs * Interpret and process the model’s raw outputs If you’re experiencing difficulties running a custom model during integration, please contact the support team for assistance. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://nx.docs.scailable.net/ai-models-support/custom-models.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.