Kaedim

In the rapidly evolving landscape of 3D content creation, traditional methods face significant challenges in terms of efficiency and scalability. This article explores Kaedim, an AI-powered platform that revolutionizes 3D conversion through automated workflows and human guidance. By integrating advanced machine learning with professional artistic refinement, Kaedim accelerates 3D content generation while maintaining high production standards. From its innovative conversion process to seamless integration with existing workflows, the platform demonstrates substantial improvements in 3D asset creation. Through detailed analysis of technical capabilities, implementation strategies, and customer support, we examine how Kaedim is transforming the 3D content creation ecosystem.

Conversion Process and Output

Kaedim's conversion process begins with the user uploading an image or providing text input through their web app. The image undergoes preprocessing before being fed into the company's AI system for 2D to 3D reconstruction. In-house artists then refine these initial outputs to ensure production-ready results, a step that helps maintain high quality while automating much of the pipeline.

The company claims to have achieved a 10x speedup compared to traditional art outsourcing methods, though their workflow can generate 3D models in mere minutes for simple inputs. Current output formats include common 3D model types such as OBJ, FBX, and GLB, with higher-end options available through their Game-ready pipeline that supports up to 2 million polygons.

After model generation, users have several options for customization. Through Kaedim's built-in tools, they can select and color different parts of the model, save colored versions with material information (.mtl format), and edit generated models through multiple iterations before final export. The platform currently supports around 80% of common 3D content creation needs through an AI and human-in-the-loop approach, though complex subjects like realistic humans, trees, and animals remain unsupported.

Model accuracy varies based on input complexity and generation settings, though the system typically maintains high fidelity for simpler inputs. Users can adjust key parameters like polygon count, model height, and generation quality before processing, with additional options available through the Game-ready pipeline for detailed texturing without increasing polygon count. The final output includes complete UV mapping within the texturing process, ready for direct integration into various 3D workflows.

Integration and API Features

Kaedim offers comprehensive integration capabilities through their API and pre-built plugins for popular 3D software platforms. Their integration framework enables seamless connectivity to major development environments, including Unity, Unreal Engine, Shotgrid, Blender, Nvidia Omniverse, Autodesk, and Cinema 4D. This extensive compatibility allows users to incorporate Kaedim's AI-generated assets directly into their existing workflows, from initial concept to final production.

The company's integration approach focuses on accelerating 3D content creation while maintaining flexibility for custom workflows. Through their API, teams can automate content generation processes, enable user-generated content, and streamline asset management across multiple projects. Current implementations demonstrate significant time savings in 3D production cycles, with reported reductions of up to 70% in Upland's 3D asset creation timelines.

Kaedim supports multiple workflow approaches to fit various project needs. For in-house production teams, the platform offers a minimum 5x speedup in 3D asset creation through their AI and human-in-the-loop process. The company has successfully scaled this approach to handle enterprise-level requirements, with documented cases of processing over 100,000 assets per month through fully automated pipelines.

The integration framework enables advanced features such as on-chain asset management, automatic texturing, and real-time collaboration tools. These capabilities support both technical and creative workflows, from initial concept development to refined asset integration. Kaedim's documentation provides detailed instructions for both technical implementation and creative integration scenarios, with resources available to help users optimize their workflows for maximum efficiency.

Usage and Implementation

Kaedim has developed tailored workflows to support various industries, with the platform handling everything from simple geometry to complex scene generation. Many teams produce multiple revisions per model, with changes implemented in just minutes for basic edits and up to several hours for more complex modifications. This iterative process, which typically requires one to two iterations, allows artists to refine their 3D assets while maintaining efficient production timelines.

The company's primary focus remains on enterprise-level support, currently offering customized plans rather than off-the-shelf packages. They maintain a partnership-driven approach, particularly for educational institutions, though they have temporarily paused development on their direct-to-customer plans to refine their existing offerings. All customers gain access to their comprehensive digital library of pre-generated assets, with each model optimized for specific use cases from low-poly prototypes to game-ready textures.

Customer Support and Workflow

Customer support at Kaedim operates through multiple channels, offering detailed assistance at every stage of the production process. The company maintains a robust support structure, particularly for their enterprise customers, where dedicated communication channels ensure rapid response times and comprehensive issue resolution. For general inquiries and support requests, users can contact Kaedim's support team directly through email, or join their active Discord community for real-time assistance.

The workflow typically follows a manual iteration process, allowing for multiple revisions per model through direct feedback between the user and the support team. This collaborative approach ensures that each iteration meets the user's specific requirements before proceeding to the final export stage. While the team encourages customers to request revisions after one or two iterations if they are dissatisfied, the process remains flexible enough to accommodate more extensive changes as needed.

Enterprise account setup requires several hours of configuration, during which the company's technical team works closely with clients to optimize their integration between Kaedim's tools and existing workflows. This level of customization ensures that each customer's implementation meets their unique needs and operational requirements. The company maintains extensive documentation covering both web app usage and API integration, providing users with comprehensive resources for both technical implementation and creative workflows.

Technology and Development

Kaedim's technology integrates machine learning with in-house artistic expertise, producing optimized 3D models that maintain high quality while significantly speeding up production. The process begins with image input, which is preprocessed before being analyzed by AI systems for 2D to 3D reconstruction. An in-house art team then refines these initial outputs to ensure production-ready results, combining AI efficiency with human artistic judgment for consistent quality.

The company's workflow achieves a 10x speedup compared to traditional art outsourcing methods, with simple models generated in minutes. This efficiency is supported by their ability to process over 100,000 assets per month through automated pipelines, demonstrating their scalability for enterprise-level requirements. Kaedim maintains a focus on optimizing the production process for game development, creating ready-to-use assets with optimized polygons, separated parts, and watertight structures that fit existing workflows.

The technology generates multiple output formats including OBJ, FBX, and GLB, with advanced options available through their Game-ready pipeline that supports up to 2 million polygons. Current limitations include challenges with realistic humans, trees, and animals, though the company continues to develop autonomous generation capabilities while maintaining human oversight for critical stages of the process. Their multi-step refinement approach ensures production-ready results, typically requiring 1-2 iterations before final export, though complex changes may still require additional time.