Build your 3D AI Workflow with the Operating Systems
You don't just want to solve ONE problem. You want to ARCHITECT complete systems.
This is where you go from "I can build X" to "I can design and deploy end-to-end solutions."
🏗️ 3D Reconstructor OS
The Innovation Engine
From images and point clouds to deployable 3D experiences
Build, reconstruct, and visualize accurate 3D environments from raw data.
You will architect:
– Automated photogrammetry pipelines (imagery → 3D city models)
– Large-scale reconstruction workflows
(cm-level accuracy at scale)
– Generative AI integration (World Models)
(text-to-3D, image-to-3D, Anything-to-3D)
– Nerf and 3D Gaussian Splatting
(automation, video-to-web)
– 3D modeling + optimization
(mesh generation, Blender automation)
Perfect for: innovators who want to create production-ready 3D environments (Surveyors, GIS Analysts, Construction Engineers, Entrepreneur)
🧩 3D Segmentor OS
The Intelligence Forge
From point clouds to intelligent spatial understanding. Learn how to segment, analyze, and classify 3D datasets using Python.
You will architect:
– Object detection systems (LiDAR processing, RANSAC, clustering)
– Unsupervised segmentation (DBSCAN, k-means, region growing, SegmentAnything 3D)
– Advanced analysis (KD-trees, feature engineering, ML integration)
– 3D Machine Learning
(Supervised Systems, Labelling loops)
– Production applications (client-server architecture, deployment)
Perfect for: those who want to extract meaning and structure from raw 3D data (Data Scientists, Researchers, Robotics Engineers, Urban Planners)
🧠 3D Deep Learning OS
From neural network theory to production 3D AI
From neural network theory to production 3D AI. Master 3D deep learning to build intelligent models from point clouds and spatial data.
You will architect:
– Implement neural networks for 3D segmentation and classification
(ANN, CNN, RNN with spatial focus)
– Train and evaluate 3D deep learning models
(point-based, (volumetric / voxel architectures)
– Use PyTorch + advanced architectures to build your own 3D AI systems
(KPConv, PointNet++, GrowSP, transformers)
– Production systems
(end-to-end deployment, cloud integration)
Perfect for: engineers and data scientists who want to move from 2D AI to 3D AI (ML Engineers, AI Researchers, Data Scientists, Tech Founders)
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