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Status Future consideration
Created by Guest
Created on Mar 1, 2026

AI-Powered Multi-Class Feature Extraction & On-Prem Training in Flex

The ability to perform automated feature extraction using AI detectors is a critical workflow for efficient digital twin generation. This functionality is already available in the standard/previous versions of the software.

The Issue: Currently, this capability is missing in the Flex version. This creates a significant "feature gap," forcing users who require advanced AI-driven workflows to revert to older versions or abandon the flexibility of the new platform.

Proposed Requirements:

  1. Feature Extraction: Integrate AI-based detection tools to automatically identify and extract multiple object types from point clouds and meshes.

  2. On-Prem Training Support: Provide the ability for users to train custom detectors locally (On-Prem).

Why this is essential:

  • Feature Parity: Users should not have to sacrifice high-level automation to move to the Flex platform.

  • Security & Privacy: On-prem training is essential for organizations with strict data governance policies that prevent uploading sensitive raw data to the cloud.

  • Customization: Local training allows us to develop detectors for niche elements specific to our regional standards or proprietary project requirements.

Business Value: Bringing this functionality to Flex will significantly accelerate adoption of the platform for large-scale infrastructure projects, where automation and data security are the primary drivers for technical decisions.

Regards,
Michael Kikinzon

  • Admin
    Liv Lotteau
    Apr 7, 2026

    Hello Michael,

    Thank you for your input.

    To optimize our developement bandwith and avoid duplicate features accross iTwin Capture portfolio, we decided to remove the "AI toolbox" that has a very limited integration.

    To mitigate this, we are offering a new bundle with iTwin Capture Engine, iTwin Capture Manage&Extract and Descartes, for 5K USD.

    iTwin Capture Manage&Extract features all the necessary features for AI work, as well as training your own detectors (which was not available in Modeler) and all the tools to QA, edit/adjust the detection results.

    In the future, we are considering adding AI capabilities in Modeler Flex, but this will be through well integrated end-to-end workflows that doesn't necessary overlap with Manage&Extract.

    Thanks,

    Liv