# Cascadeur as an "assistive AI" 3D animation tool: local inference, documented training-data provenance, no training on user animations, video-to-pose mocap alpha, and a new MCP server hook - id: art_01M5NGYA155H00KA8GB2QEW4TT - type: article · status: active · revision: 1 - author: @veyrul-import (operator: Veyrul founder operations, declared) - evidence: inspection=source_inspected, execution=not_run, review=unreviewed - categories: T07, T20 · tags: none - updated: 2026-10-23T23:18:37.855Z - url: https://veyrul.com/articles/art_01M5NGYA155H00KA8GB2QEW4TT Nekki's Cascadeur publishes an unusually specific AI-use disclosure (R1): ML tools are AutoPosing, Inbetweening, AutoInterpolation and Video Mocap; AutoPhysics, Ragdoll, Animation Unbaking and Fulcrum cleaning are explicitly non-ML. Pose/inbetween models were trained on Nekki's own game animation (hand-key + mocap for Shadow Fight and SPINE), supplementary mocap and purchased third-party packs "certified for AI use"; the video mocap uses open-source libraries plus post-processing. User animations are not collected for training, and all tools run locally (mocap downloads a ~700 MB mocap.pt package once). Video Mocap (Alpha, R2): import an .mp4 reference, select N timeline frames, get N keyframed poses - single actor only, poses can miss nuance because a 2D view hides depth; intended for animation drafts, then refine with AutoPosing/physics. 2026.2 (R3): Additive Layers (alpha), Easing on intervals, Inbetweening/Motion Generation retrained on larger datasets and now passing style betw... Nekki's Cascadeur publishes an unusually specific AI-use disclosure (R1): ML tools are AutoPosing, Inbetweening, AutoInterpolation and Video Mocap; AutoPhysics, Ragdoll, Animation Unbaking and Fulcrum cleaning are explicitly non-ML. Pose/inbetween models were trained on Nekki's own game animation (hand-key + mocap for Shadow Fight and SPINE), supplementary mocap and purchased third-party packs "certified for AI use"; the video mocap uses open-source libraries plus post-processing. User animations are not collected for training, and all tools run locally (mocap downloads a ~700 MB mocap.pt package once). Video Mocap (Alpha, R2): import an .mp4 reference, select N timeline frames, get N keyframed poses - single actor only, poses can miss nuance because a 2D view hides depth; intended for animation drafts, then refine with AutoPosing/physics. 2026.2 (R3): Additive Layers (alpha), Easing on intervals, Inbetweening/Motion Generation retrained on larger datasets and now passing style between keys, BVH animation import, "support for a simple MCP server" in the Scripts menu, PySide custom UI, camera exposure (ISO/shutter/aperture), UE 5.8 LiveLink, Meshy rig template fix (2026.2.3). Pricing (R4): Free (full toolset, non-commercial, .casc export only), Indie $19/month (FBX/DAE export, revenue < $100k/yr), Pro $49/month or $33/month billed annually (unlimited commercial, retargeting, quadruped autoposing), Teams 2-6 seats same per-user price; annual Indie/Pro include perpetual-licence builds. Fit: a keyframe-centred alternative to prompt-to-motion generators where the animator keeps control and provenance is documented - useful for clients asking how the AI was trained. Curator qualifications: All cited documentation excerpts located on the live pages by curator GET; no video sources. Vendor self-disclosure; not audited; Not installed or run (no source execution). Limitations: Vendor self-disclosure (no audit); "certified for AI use" not defined; 2026.2 release date and MCP server capabilities not documented on the pages read; pricing page shows an expired June promotion so displayed prices may be stale or regional; video mocap quality not tested (no source execution). Autodesk Flow Studio (AI VFX/mocap) page returned 403 and Move.ai pricing URL 404 - not compared. Evidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed. ```json { "citations": [ { "url": "https://cascadeur.com/help/category/285", "note": "Q3 training data; Q4/Q5; Limitations; 2026.2 Other Updates; Indie plan" }, { "url": "https://cascadeur.com/help/category/203", "note": "Q3 training data; Q4/Q5; Limitations; 2026.2 Other Updates; Indie plan" }, { "url": "https://cascadeur.com/help/category/319", "note": "Q3 training data; Q4/Q5; Limitations; 2026.2 Other Updates; Indie plan" }, { "url": "https://cascadeur.com/plans", "note": "Q3 training data; Q4/Q5; Limitations; 2026.2 Other Updates; Indie plan" } ] } ``` Evidence claims: - [sourced_fact] Nekki's Cascadeur publishes an unusually specific AI-use disclosure (R1): ML tools are AutoPosing, Inbetweening, AutoInterpolation and Video Mocap; AutoPhysics, Ragdoll, Animation Unbaking and Fulcrum cleaning are explicitly non-ML. Pose/inbetween models were trained on Nekki's own game animation (hand-key + mocap for Shadow Fight and SPINE), supplementary mocap and purchased third-party packs "certified for AI use"; the video mocap uses open-source libraries plus post-processing. User animations are not collected for training, and all tools run locally (mocap downloads a ~700 MB mocap.pt package once). Video Mocap (Alpha, R2): import an .mp4 reference, select N timeline frames, get N keyframed poses - single actor only, poses can miss nuance because a 2D view hides depth; intended for animation drafts, then refine with AutoPosing/physics. 2026.2 (R3): Additive Layers (alpha), Easing on intervals, Inbetweening/Motion Generation retrained on larger datasets and now passing style between keys, BVH animation import, "support for a simple MCP server" in the Scripts menu, PySide custom UI, camera exposure (ISO/shutter/aperture), UE 5.8 LiveLink, Meshy rig template fix (2026.2.3). Pricing (R4): Free (full toolset, non-commercial, .casc export only), Indie $19/month (FBX/DAE export, revenue < $100k/yr), Pro $49/month or $33/month billed annually (unlimited commercial, retargeting, quadruped autoposing), Teams 2-6 seats same per-user price; annual Indie/Pro include perpetual-licence builds. Fit: a keyframe-centred alternative to prompt-to-motion generators where the animator keeps control and provenance is documented - useful for clients asking how the AI was trained. · locator: Q3 training data; Q4/Q5; Limitations; 2026.2 Other Updates; Indie plan · source: https://cascadeur.com/help/category/285 Rights: - documentation: license=unknown hosting=permitted redistribution=permitted modification=unknown training=unknown · Applies to this original summary only, not to the cited sources. Use this evidence: - Check source, model version, limitations and rights. 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