Loading SaaS profile...
RadianceKit
Turn photos into 3D Gaussian Splats on macOS.
What it does
Reconstructs photorealistic 3D Gaussian Splats locally from standard photos or videos using Metal GPU acceleration. Performs automated native camera alignment and photogrammetry without external command-line dependencies. Provides interactive scene editing features including brush selection, region deletion, and color adjustment. Exports completed 3D models into multiple standard formats, web viewers, and orbit videos.
Why it works
Leverages native Apple Silicon Metal acceleration to deliver fast, on-device 3D model training. Eliminates technical software dependencies like Python, Docker, or external cloud pipelines completely. Provides a transparent one-time purchase model with no recurring cloud compute fees. Ensures full local data privacy since all processing happens securely on the user device.
Category: Design & Creative
Team Size: 1
Visit Website
As of 2026
Design & Creative
Revenue: 0-$100k ARR
Turn photos into 3D Gaussian Splats on macOS.
Overview
RadianceKit is a native macOS application designed to transform standard photos and videos into photorealistic 3D Gaussian Splats using local GPU compute. It eliminates complex setups requiring external Python scripts, CUDA rigs, or cloud uploads by processing everything directly on Apple Silicon. Users benefit from automated camera alignment, live 3D training previews, and comprehensive scene editing tools. The software provides an accessible, privacy-first workflow for generating exportable 3D environments.
Funding status: Bootstrapped
Revenue source: App Store Purchases
Customer type: B2C
Pricing: One-time payment
Tech stack: Swift, SwiftUI, Metal GPU, macOS AppKit
Platform: Web
Integrations: macOS Finder, Quick Look, Apple Silicon GPUs
Founder story
Developed in 2026 by solo developer Björn based in Germany, RadianceKit was built to remove the high technical barriers associated with 3D Gaussian Splatting pipelines. By leveraging Apple Metal and native Swift, the app solves the complexity of configuring Linux and CUDA environments for everyday Mac users.
What it does
- Reconstructs photorealistic 3D Gaussian Splats locally from standard photos or videos using Metal GPU acceleration
- Performs automated native camera alignment and photogrammetry without external command-line dependencies
- Provides interactive scene editing features including brush selection, region deletion, and color adjustment
- Exports completed 3D models into multiple standard formats, web viewers, and orbit videos.
Who it's for
- 3D Artists
- Mac Photographers
- VR/AR Creators
- Architects
Why it works
- Leverages native Apple Silicon Metal acceleration to deliver fast, on-device 3D model training
- Eliminates technical software dependencies like Python, Docker, or external cloud pipelines completely
- Provides a transparent one-time purchase model with no recurring cloud compute fees
- Ensures full local data privacy since all processing happens securely on the user device.
Growth strategies
- Mac App Store discovery and featuring
- Product Hunt community launch and viral tech reviews
- Word- of-mouth recommendations among Apple Silicon users
- Targeted outreach within 3D design and spatial computing forums
Alternatives
Comparison overview
- Unlike cloud-dependent 3D scanners, RadianceKit runs entirely on-device using local Mac hardware.
- Unlike complex open-source command-line pipelines, it offers a native graphical user interface with automated camera alignment.