Research and Core Tech

We harden the latest academic research into production-grade systems, and run our own research to push the state of the art forward.

That work consolidates into our DM AI Engine — a proprietary library licensed into projects to shorten time-to-market and de-risk delivery.

Whether hosted on the DM Platform — our GPU-first hosting and MLOps backbone — or on your own infrastructure, PoC deployments scale seamlessly into production.

Three Tracks

Track A: Capture Reality

Turn raw, messy data into actionable understanding across video and 3D.

01

Indoor Semantic Segmentation of Point Clouds: From LiDAR Capture to Real-World Use

Indoor semantic segmentation turns raw LiDAR point clouds into structured scene understanding. This post explains why outdoor models fail indoors and...

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Indoor Semantic Segmentation of Point Clouds: From LiDAR Capture to Real-World Use
02

Detection Transformers: real-time object detection under an Apache 2.0 License

Real-time detection transformers as a superior alternative to YOLOs for object detection. Free to use and commercially adapt, powered by Datameister.

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Detection Transformers: real-time object detection under an Apache 2.0 License
03

AI-based image rendering: NeRFs, SMoE and Gaussian Splatting

Discover the exciting advancements in image-based rendering driven by AI. An overview of techniques: light fields, SMoE, Gaussian splatting, and NeRFs.

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AI-based image rendering: NeRFs, SMoE and Gaussian Splatting

Track B: Optimize Virtual 3D Assets

Make existing assets and workflows production-ready, scalable, and controllable.

01

AI-Powered Retopology for 3D Assets | Retopomeister

Retopomeister is a prototype AI tool for automated 3D asset retopology, preserving anatomy, symmetry, and UVs while reducing manual work.

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AI-Powered Retopology for 3D Assets | Retopomeister

Track C: Create 3D Assets and Scenes

Generate new assets under strict engineering constraints with controllable outputs.

01

From Studio to Robot: Well-Integrated 3D Generation

Datameister's Blender add-on brings controlled generative 3D generation directly into the studio, bridging creative tools with robotics-ready output.

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From Studio to Robot: Well-Integrated 3D Generation
02

Why the Future of 3D Generative AI is Programmatic

Discover how programmatic 3D generative AI reshapes workflows by producing editable, script-based assets instead of static meshes.

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Why the Future of 3D Generative AI is Programmatic
03

Constraint-Aware 3D Generation for Industrial Design

Constraint-aware 3D generation for industrial design: explore creative variations while hard points stay fixed. Trellis diffusion + masked gen + differentiable rendering for buildable assets.

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Constraint-Aware 3D Generation for Industrial Design