Kaedim
Transform 2D images into production-ready 3D models in minutes with AI-powered precision.
AI-Powered 3D Scanning with Photogrammetry, LiDAR, and Neural Radiance Fields.
KIRI Engine is a leading AI-driven 3D scanning platform that democratizes high-fidelity 3D model creation. Utilizing advanced photogrammetry algorithms and Neural Surface Reconstruction, it allows users to convert photos or video into hyper-realistic 3D assets. By 2026, KIRI Engine has solidified its market position by integrating 3D Gaussian Splatting (3DGS) and Neural Radiance Fields (NeRF) directly into its cloud-processing pipeline, making it a primary competitor to high-end industrial scanners. The technical architecture relies on server-side GPU acceleration to process complex feature-matching tasks, offloading the heavy compute from mobile devices while maintaining 4K texture resolution. Its competitive edge lies in its proprietary AI-Auto Retopology service, which converts messy high-poly scans into clean, quad-based geometry suitable for game engines like Unreal Engine 5 and Unity. The platform supports a hybrid approach, using LiDAR for geometric accuracy on iOS devices and photogrammetry for texture precision across all platforms, ensuring professional-grade outputs for VFX, e-commerce, and industrial digital twin applications.
A cloud-based algorithm that converts unstructured triangle meshes into optimized quad-dominant meshes.
Transform 2D images into production-ready 3D models in minutes with AI-powered precision.
Enterprise-Grade Neural PBR Generation and Seamless Material Synthesis.
Professional-grade 3D asset generation from single images and text prompts via Large Reconstruction Models.
The global standard for 3D garment simulation and high-fidelity pattern-based digital clothing.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Uses AI to fill in missing geometric data in occluded areas based on learned spatial patterns.
Decouples lighting information from textures to generate accurate Normal, Metallic, and Roughness maps.
Real-time radiance field rendering that provides photorealistic visualization of complex scenes.
Combines iOS LiDAR depth data with high-res RGB photos for millimeter-level accuracy.
Real-time synchronization between mobile captures and a browser-based editing suite.
Automated shutter triggering via Bluetooth or timed intervals for turntable setups.
High cost of manual 3D modeling for large product catalogs.
Registry Updated:2/7/2026
Complex organic shapes (rocks, trees) are difficult to model manually.
Need to document artifacts without physical contact.