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2DIAMR – 2D Is Against My Religion!

Interview· 1 h 23 min

Billions of points, polygons and splats online – Arash Keissami, NIRA

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Summary

NIRA CEO Arash Keissami on viewing, sharing and securing very large 3D datasets online. Why WebGL viewers struggle with big data, how server-side rendering streams multi-terabyte datasets to any device, how that prevents model extraction, and the practical differences between meshes and Gaussian splats.

Key ideas

  1. 1Client-side rendering hits hard limits with large datasets.
  2. 2Server-side rendering makes multi-terabyte datasets viewable on any device.
  3. 3Streaming pixels instead of data protects models from extraction.
  4. 4Multi-epoch comparison supports inspection over time.
Full show notes

In this episode, we go deep with Arash Keissami into how NIRA.app is redefining the way large-scale 3D datasets are viewed, shared, and secured online.If you work with photogrammetry, laser scanning, BIM, point clouds, textured meshes, or 3D Gaussian splatting, this conversation is directly relevant to your workflow.Arash breaks down:👉Why traditional WebGL-based viewers struggle with large datasets👉The real limitations of client-side rendering👉How server-side rendering (pixel streaming) changes the game👉Why multi-terabyte datasets can now be viewed on any device👉The security risks of browser-based 3D viewers👉How Nira prevents model extraction and GPU scraping👉The practical differences between triangle meshes and Gaussian splats👉Timeline comparison of 3D datasets (multi-epoch inspection)👉BIM, IFC and STEP file support roadmap👉High-resolution video rendering and animation paths👉Real-world use cases in AEC, construction, VFX, and entertainment

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