Loci provides AI-powered APIs that enable the labeling, categorization, and optimization of 3D assets, making them easily searchable and manageable. This technology addresses the challenge of efficiently handling complex 3D content across various industries, enhancing workflows in architecture, e-commerce, and digital asset management.
Funding
$730K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Managing and searching large libraries of 3D assets is challenging due to the complexity of 3D data and the lack of standardized metadata. This makes it difficult for teams to efficiently locate, categorize, and utilize 3D models across various applications.
Solution
Loci provides AI-powered APIs that automatically label, categorize, and optimize 3D assets, enabling efficient search and management of complex 3D content. The platform uses computer vision models trained on a large dataset of 3D assets to understand various visual styles and file formats. Loci's modular endpoints allow users to tag assets with captions, colors, and metadata, categorize them by IFC standards, perform similarity searches, and compress/convert them into production-ready glTF files. The generated embeddings can be used to power custom recommendation systems and search functionalities.
Target Audience
Loci's primary customers are teams in architecture, engineering, construction (AEC), digital asset management, e-commerce, and studios who need to efficiently manage and utilize large libraries of 3D assets.
Features
- AI-powered tagging API for labeling 3D assets with captions, tags, colors, and metadata
- Automatic categorization of assets based on BIM IFC standards
- Similarity search functionality to find similar or redundant content within a 3D asset library
- Compression and conversion of 3D assets to production-ready glTF format
- Embedding generation for powering custom recommendation systems and similarity searches
- Support for a wide range of 3D and 2D file formats, including GLB, GLTF, FBX, PLY, USDZ, OFF, STL, PNG, JPG, and more
- Secure, in-house machine learning models that are not trained on user data
- Options for SOC-2 compliant practices and on-premises deployments