DeepMotion vs Kaedim

DeepMotion builds 3D character animation from text prompts or reference video through a browser, with no mocap suit required. Its two products, SayMotion and Animate 3D, turn written motion descriptions or uploaded MP4, MOV, and AVI clips into exportable skeleton data for game and film pipelines. Output ships as FBX, BVH, GLB, or MP4 files you can retarget to custom characters.

Traditional motion capture needs specialized hardware and studio space. DeepMotion runs markerless full-body tracking in the cloud, so indie studios and solo animators can produce fight choreography or dance moves from a phone video. SayMotion adds generative inpainting to extend or blend motions beyond stock libraries, which stock animation sites cannot match without manual editing.

Game developers, XR artists, film students, and educators use it to prototype character motion before committing to a full rigging pass. The Free Animation Credit Program lets users earn back credits by labeling motion descriptions or correcting poses in the Rotoscope editor.

Kaedim handles 3D generation for studios and brands that need production-ready assets from sketches, reference packs, product photos, and creative briefs. Upload your inputs, review staged models in a shared workspace, mark up changes, and approve assets before they ship to your engine or CAD handoff.

Instant mesh generators spit out geometry you still have to fix. Kaedim pairs proprietary 3D automation with expert artist assurance, style-guide alignment, and a review loop (look, mark up, compare, revise, approve) built for milestone-driven teams. Myth Studio reported about 4 hours per asset versus a 40-hour market average in a published case study.

Game studios use Kaedim for props, environments, and characters that match art bibles. Product teams resolve proportion and volume before CAD commits. E-commerce and marketing groups turn concepts into reusable product CGI without a physical shoot. ISO27001 certification, per-project data isolation, and a policy that your IP is not used to train shared models target confidential pre-release work.