Kaedim

Kaedim is an AI-powered 3D asset production platform designed to help creative teams turn sketches, images, product photographs, reference collections, and design briefs into three-dimensional models. It combines machine learning with human artist involvement to accelerate the creation of 3D assets for games, product design, architecture, e-commerce, animation, and other visual production workflows. Rather than positioning itself as a simple one-click model generator, Kaedim focuses on helping professional teams produce assets that can be reviewed, refined, and incorporated into existing production pipelines.

One of Kaedim’s central capabilities is image-to-3D generation. Users can submit a photograph, illustration, sketch, or concept image, and the platform uses its reconstruction technology to create a corresponding 3D model. This makes it useful for teams that already have visual references but need to convert them into digital assets. The system can work from a single image, using its algorithms to estimate parts of the object that are not visible. It also accepts reference packs and more detailed creative briefs, giving teams additional ways to communicate the intended design.

The platform is particularly useful for converting early concepts into 3D representations. Product designers can submit sketches to explore the shape and proportions of a proposed product before committing to more detailed design work. Game developers can provide concept art, reference packs, and art direction to create props, characters, and environmental assets. E-commerce and marketing teams can use product photographs and creative references to develop three-dimensional product visuals for campaigns, online catalogues, and launch materials. These workflows allow teams to introduce 3D production earlier in a project, when designs may still be easier to change.

A notable part of Kaedim’s approach is its combination of AI processing and in-house human artists. The company describes this as an artist-in-the-loop production process. Machine learning helps reconstruct the initial geometry, while artists contribute to refining and improving the results. This hybrid approach is intended to deliver more dependable production assets than relying entirely on automated generation. It also allows users to provide feedback and request revisions when an output does not match the intended reference or creative direction.

Kaedim supports different levels of asset production, including prototype models and more complete game-ready assets. Prototype generation is designed to provide a useful starting point for modelling and visualisation. The platform offers controls such as generation quality and maximum polygon count, allowing users to influence the level of detail in the resulting geometry. The documented prototype workflow supports models with up to 300,000 polygons, although the final result depends on the complexity of the input and the selected settings.

For teams that need assets prepared for more demanding production environments, Kaedim provides a Game-Ready pipeline. This workflow adds further processing, including high-quality geometry, retopology, UV unwrapping, texturing, and rigging. The company describes its game-ready outputs as suitable for use in game-development workflows, with models designed to be low-poly, quad-based, watertight, and separated into multiple parts. These characteristics can make assets easier to edit, texture, animate, and incorporate into interactive projects. The game-ready workflow also supports higher polygon counts during the high-poly sculpting stage.

The platform includes tools for reviewing and improving generated models. Users can inspect an asset, identify areas that need adjustment, and submit feedback for another iteration. The revision process is supported by the Kaedim team, making it possible to request corrections when the generated geometry does not accurately represent the supplied reference. The company states that users can request multiple revisions, provided they have sufficient credits. More complex changes may take longer than simpler adjustments, and the company does not guarantee a fixed turnaround time for every revision.

Kaedim’s production workflow is also designed around collaboration between creative teams and the service provider. Its workspace and enterprise offering support team-based projects, custom styles, and shared production requirements. Teams can provide art bibles, technical specifications, reference packs, and other creative documentation to help maintain consistency across assets. Custom styles are particularly relevant to studios that need models to follow an established visual identity rather than producing unrelated designs for each prompt.

Another important feature is the platform’s credit-based generation system. Different production tasks consume different amounts of credits depending on their quality and complexity. Standard-quality generation uses one credit, high-quality generation uses two credits, and ultra-quality generation uses four credits. Revisions for prototype assets use one credit, while revisions for game-ready assets are listed as free in the documented credit schedule. The exact credit allowance depends on the customer’s selected plan, making it important for teams to estimate their production requirements before choosing a subscription.

Kaedim provides several export formats so users can continue working on their assets in external 3D applications. Supported formats include OBJ, FBX, GLB, glTF, USD, and MTL. This allows models to be moved into established modelling, rendering, animation, and game-development environments. Users can also import supported assets into the platform for further processing. The web application accepts PNG, JPG, and JPEG image inputs, making it possible to work with common reference-image formats.

The platform’s API is another important part of its offering. Kaedim provides API access through its Enterprise plan, allowing companies to integrate 3D asset generation into their own applications, games, platforms, and virtual environments. This can support workflows in which users submit images and receive generated 3D assets without having to operate directly inside the Kaedim web application. Enterprise customers can also discuss custom integrations and functionality with the company’s engineering team.

Security and intellectual property are relevant considerations for professional customers working with confidential product designs, unreleased games, and internal creative materials. Kaedim’s enterprise documentation describes data segmentation and states that customer data is not used for general model training, except where training is specifically undertaken for the customer’s project. The current website also highlights encrypted data handling, project isolation, deletion on request, and ISO 27001 certification. These features are intended to support organisations that need to protect sensitive references and production assets.

The company also states that customers retain intellectual property rights to the 3D models they create under a paid plan. This is important for studios and businesses that intend to use generated assets in commercial projects. Customers should still review the applicable terms and their individual agreement, particularly when working with custom production arrangements or enterprise services.

Kaedim is aimed primarily at teams that need a consistent supply of 3D assets rather than casual users looking for a basic free generator. Its workflows are particularly relevant to game studios, product designers, e-commerce businesses, architecture teams, and organisations that use 3D content in marketing and visual communication. By combining image reconstruction, artist refinement, revisions, game-ready processing, and API access, it provides a more production-oriented approach to 3D creation.

The main limitation is its pricing and service model. Kaedim’s current plans are positioned for businesses and teams, with monthly costs that may be too high for occasional individual use. The platform also depends on the quality of the submitted references, and highly detailed or complex images may require higher generation quality and additional refinement. It is not a complete replacement for professional 3D software, since users may still need external applications for specialised modelling, animation, rendering, and final production tasks.

Kaedim’s current website presents the service as a broader 3D production platform for studios and brands. Its emphasis has shifted beyond simple image-to-3D conversion towards handling creative briefs, reference materials, review, iteration, and production-ready deliverables. This makes it particularly relevant to organisations that want to expand their 3D production capacity while keeping creative teams involved in the approval process.

Pricing

Kaedim currently advertises the following plans:

• Trial: $50 for a seven-day trial, discounted from $100. Includes five credits and up to five geometries. Automatically renews to the Indie plan unless cancelled.
• Indie: $400 per month. Includes 20 credits, covering up to 20 geometries or one complete asset with high-quality retopology, UVs, and textures. Includes dedicated Discord support.
• Pro: $1,200 per month. Includes 60 credits, covering up to 60 geometries or three complete assets with high-quality retopology, UVs, and textures. Includes priority processing and dedicated Discord support.
• Enterprise: Custom pricing based on project requirements, production volume, integrations, and support needs.

Review

Kaedim is a specialised option for organisations that need 3D assets produced from existing visual references. Its combination of machine learning and human artist refinement is a major advantage for teams that require more than an automatically generated preview. The platform supports a range of input materials, including sketches, photographs, concept art, and reference collections, making it useful across product design, games, e-commerce, and architecture.

Its Game-Ready pipeline is another strength. Retopology, UV unwrapping, texturing, and rigging help move assets closer to practical production use. The revision workflow also gives teams a way to communicate changes and improve results instead of accepting the first generated model. API access and custom enterprise integrations can make the service relevant to organisations that want to incorporate 3D generation into their own products or production systems.

The main disadvantage is the cost. The advertised Indie and Pro subscriptions are expensive compared with self-service AI 3D generators, and the service is better suited to teams with recurring asset-production requirements. The seven-day trial also costs $50 and automatically renews to Indie, so users should review the renewal conditions carefully. In addition, complex assets may require multiple iterations, and generation quality depends partly on the supplied references and selected settings.

Kaedim is best suited to studios and businesses that value production support, asset refinement, and workflow integration. It may be less suitable for individuals who only need occasional 3D models or prefer to handle all editing themselves. Its strongest value is in helping professional teams increase their 3D production capacity while retaining control over creative direction and final approval.