{"product_id":"simi-shape-3d","title":"Simi Shape 3D","description":"\u003cstyle\u003e\n.guidaio-v3 { --gv3-bg:#f6f5fb;--gv3-surface:#fff;--gv3-surface-soft:#fbfaff;--gv3-ink:#14132b;--gv3-ink-2:#2b2a4a;--gv3-muted:#6c6a8a;--gv3-line:#ecebf5;--gv3-line-2:#e0deef;--gv3-brand:#5b3df5;--gv3-brand-2:#7c63ff;--gv3-brand-soft:#efeaff;--gv3-brand-ink:#2c1d8a;--gv3-ok:#0f8a5a;--gv3-ok-soft:#e6f7ee;--gv3-warn:#b16800;--gv3-warn-soft:#fff3dc;--gv3-bad:#b3261e;--gv3-bad-soft:#fde7e6;--gv3-radius-lg:22px;--gv3-radius:16px;--gv3-radius-sm:10px;--gv3-shadow-sm:0 1px 2px rgba(20,19,43,.04);--gv3-shadow:0 12px 30px rgba(53,38,124,.07);\n  background:radial-gradient(1200px 600px at 80% -10%,rgba(124,99,255,.18),transparent 60%),radial-gradient(900px 500px at -10% 5%,rgba(91,61,245,.12),transparent 60%),var(--gv3-bg);\n  color:var(--gv3-ink);font-family:Inter,system-ui,-apple-system,\"Segoe UI\",Roboto,sans-serif;font-size:16px;line-height:1.6;-webkit-font-smoothing:antialiased;\n  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li{display:flex;gap:8px;align-items:flex-start;color:var(--gv3-ink-2);font-size:14px}\n.guidaio-v3 .pc li svg{flex:0 0 auto;margin-top:3px}\n.guidaio-v3 .pc.pros li svg{color:var(--gv3-ok)}.guidaio-v3 .pc.cons li svg{color:var(--gv3-bad)}\n.guidaio-v3 .bestnot{display:grid;grid-template-columns:1fr 1fr;gap:16px}\n.guidaio-v3 .bestnot .card{border:1px solid var(--gv3-line);border-radius:var(--gv3-radius);padding:20px;background:#fff}\n.guidaio-v3 .bestnot h3{display:flex;align-items:center;gap:8px;font-size:17px;margin-bottom:12px}\n.guidaio-v3 .bestnot .for h3{color:var(--gv3-ok)}.guidaio-v3 .bestnot .not h3{color:var(--gv3-warn)}\n.guidaio-v3 .plan-grid{display:grid;grid-template-columns:repeat(3,minmax(0,1fr));gap:14px}\n.guidaio-v3 .plan{border:1px solid var(--gv3-line);border-radius:var(--gv3-radius-lg);padding:22px;background:#fff;display:grid;gap:10px;position:relative}\n.guidaio-v3 .plan.featured{border-color:#c7baff;background:linear-gradient(180deg,#fff 0%,#f7f3ff 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var(--gv3-line);border-radius:var(--gv3-radius);background:#fff;padding:20px}\n.guidaio-v3 .timeline{display:grid;gap:8px;margin:8px 0 0}\n.guidaio-v3 .timeline .ev{padding:10px 14px;border-radius:12px;background:var(--gv3-brand-soft);color:var(--gv3-brand-ink);font-weight:600;font-size:14px;display:flex;align-items:center;gap:8px}\n.guidaio-v3 .social-row{display:flex;gap:8px;flex-wrap:wrap}\n.guidaio-v3 .social{width:36px;height:36px;border-radius:12px;border:1px solid var(--gv3-line-2);background:#fff;display:grid;place-items:center;color:var(--gv3-ink-2)}\n.guidaio-v3 .social:hover{background:var(--gv3-brand-soft);color:var(--gv3-brand-ink);border-color:#d6cdfb}\n.guidaio-v3 .res-grid{display:grid;grid-template-columns:repeat(3,minmax(0,1fr));gap:10px}\n.guidaio-v3 .res{display:flex;gap:10px;align-items:center;padding:10px 12px;border-radius:12px;border:1px solid var(--gv3-line);background:#fff;color:var(--gv3-ink-2);font-size:13px}\n.guidaio-v3 .res:hover{border-color:#d6cdfb;background:#fbfaff;text-decoration:none}\n.guidaio-v3 .res svg{color:var(--gv3-brand);flex:0 0 auto}\n.guidaio-v3 .res .url{color:var(--gv3-muted);font-size:11px;word-break:break-all}\n.guidaio-v3 .res .res-text{display:grid}\n.guidaio-v3 .alts{display:flex;flex-wrap:wrap;gap:8px}\n.guidaio-v3 .alt{display:inline-flex;align-items:center;gap:8px;padding:9px 13px;border-radius:14px;background:#fff;border:1px solid var(--gv3-line-2);font-weight:600;color:var(--gv3-ink-2);font-size:14px}\n.guidaio-v3 .alt .av{width:24px;height:24px;border-radius:8px;background:linear-gradient(135deg,#c7baff 0%,#efeaff 100%);display:grid;place-items:center;font-size:12px;font-weight:700;color:var(--gv3-brand-ink)}\n.guidaio-v3 .faq{display:grid;gap:10px}\n.guidaio-v3 .faq details{background:#fff;border:1px solid var(--gv3-line);border-radius:var(--gv3-radius);padding:14px 16px}\n.guidaio-v3 .faq summary{cursor:pointer;list-style:none;font-weight:700;color:var(--gv3-ink);display:flex;justify-content:space-between;align-items:center;gap:10px;font-size:15px}\n.guidaio-v3 .faq summary::-webkit-details-marker{display:none}\n.guidaio-v3 .faq summary svg{color:var(--gv3-brand)}\n.guidaio-v3 .faq .ans{color:var(--gv3-muted);margin-top:10px;font-size:14px}\n.guidaio-v3 section.block.conclusion{background:radial-gradient(700px 320px at 0% 0%,rgba(124,99,255,.18),transparent 60%),linear-gradient(135deg,#1c163a 0%,#2c1d8a 100%);color:#fff;border-color:#2c1d8a}\n.guidaio-v3 section.block.conclusion .head h2{color:#fff}\n.guidaio-v3 section.block.conclusion .lead,.guidaio-v3 section.block.conclusion .rich p{color:rgba(255,255,255,.88)}\n.guidaio-v3 section.block.conclusion .rich strong,.guidaio-v3 section.block.conclusion .rich b{color:#fff}\n.guidaio-v3 section.block.conclusion .eyebrow{background:rgba(255,255,255,.14);color:#fff}\n.guidaio-v3 section.block.conclusion .btn-secondary{background:rgba(255,255,255,.14);color:#fff;border-color:rgba(255,255,255,.25)}\n@media (max-width:1080px){.guidaio-v3 .hero-grid,.guidaio-v3 .trust-grid,.guidaio-v3 .company-grid,.guidaio-v3 .setup-grid,.guidaio-v3 .availability{grid-template-columns:1fr}.guidaio-v3 .grid-3,.guidaio-v3 .res-grid,.guidaio-v3 .plan-grid{grid-template-columns:repeat(2,minmax(0,1fr))}}\n@media (max-width:700px){.guidaio-v3{padding:12px 8px 48px}.guidaio-v3 .hero{padding:20px}.guidaio-v3 section.block{padding:20px}.guidaio-v3 .grid-2,.guidaio-v3 .grid-3,.guidaio-v3 .res-grid,.guidaio-v3 .plan-grid,.guidaio-v3 .bestnot,.guidaio-v3 .availability{grid-template-columns:1fr}.guidaio-v3 h1.title{font-size:28px}}\n\u003c\/style\u003e\n\u003cdiv class=\"guidaio-v3\" itemscope itemtype=\"https:\/\/schema.org\/SoftwareApplication\"\u003e\n\u003cmeta itemprop=\"name\" content=\"Simi Shape 3D: Markerless 3D Motion Capture Software\"\u003e\n\u003cmeta itemprop=\"description\" content=\"Simi Shape 3D is a markerless full-body 3D motion capture module for Simi Motion, built on computer vision for sport, medicine, automotive and media.\"\u003e\n\u003cdiv class=\"hero\"\u003e\u003cdiv class=\"hero-grid\"\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"hero-head\"\u003e\n\u003cdiv class=\"logo-tile\"\u003e\u003cimg src=\"https:\/\/simishape.com\/wp-content\/uploads\/2018\/02\/simi_logo_flat_4c_rms-large.svg\" alt=\"Simi Shape 3D logo\" itemprop=\"image\" loading=\"lazy\"\u003e\u003c\/div\u003e\n\u003cdiv class=\"name-block\"\u003e\n\u003cspan class=\"eyebrow\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpath d=\"m12 3-1.9 5.8a2 2 0 0 1-1.3 1.3L3 12l5.8 1.9a2 2 0 0 1 1.3 1.3L12 21l1.9-5.8a2 2 0 0 1 1.3-1.3L21 12l-5.8-1.9a2 2 0 0 1-1.3-1.3Z\"\u003e\u003c\/path\u003e\u003c\/svg\u003e Academic Research · Fitness Health\u003c\/span\u003e\u003ch1 class=\"title\" itemprop=\"name\"\u003eSimi Shape 3D\u003c\/h1\u003e\n\u003cp class=\"lede justify\" itemprop=\"description\"\u003e\u003cb\u003eSimi Shape 3D\u003c\/b\u003e is a markerless full-body 3D motion capture module for Simi Motion, using computer vision and machine learning to detect and quantify human and non-human movement across sport, medicine, automotive and media applications.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"badge-row\"\u003e\n\u003cspan class=\"badge ok\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003ccircle cx=\"12\" cy=\"12\" r=\"10\"\u003e\u003c\/circle\u003e\u003cpath d=\"m9 12 2 2 4-4\"\u003e\u003c\/path\u003e\u003c\/svg\u003e Sunset\u003c\/span\u003e\u003cspan class=\"badge ok\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpath d=\"M12 22s8-4 8-10V5l-8-3-8 3v7c0 6 8 10 8 10z\"\u003e\u003c\/path\u003e\u003cpath d=\"m9 12 2 2 4-4\"\u003e\u003c\/path\u003e\u003c\/svg\u003e GDPR compliant\u003c\/span\u003e\u003cspan class=\"badge\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"22 7 13.5 15.5 8.5 10.5 2 17\"\u003e\u003c\/polyline\u003e\u003cpolyline points=\"16 7 22 7 22 13\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e Contact Sales\u003c\/span\u003e\u003cspan class=\"badge\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpath d=\"M6.3 20.3a2.4 2.4 0 0 0 3.4 0L12 18l-6-6-2.3 2.3a2.4 2.4 0 0 0 0 3.4Z\"\u003e\u003c\/path\u003e\u003cpath d=\"m2 22 3-3\"\u003e\u003c\/path\u003e\u003cpath d=\"M7.5 13.5 10 11\"\u003e\u003c\/path\u003e\u003cpath d=\"M10.5 16.5 13 14\"\u003e\u003c\/path\u003e\u003cpath d=\"m18 3-4 4h6l-4 4\"\u003e\u003c\/path\u003e\u003c\/svg\u003e No public API\u003c\/span\u003e\u003cspan class=\"badge brand\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003ccircle cx=\"12\" cy=\"12\" r=\"10\"\u003e\u003c\/circle\u003e\u003cpath d=\"m9 12 2 2 4-4\"\u003e\u003c\/path\u003e\u003c\/svg\u003e Verified by Guidaio\u003c\/span\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"tbd-row\"\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"label\"\u003eCategories\u003c\/div\u003e\n\u003cdiv class=\"chip-row\"\u003e\n\u003ca class=\"chip cat\" href=\"\/collections\/academic-research\"\u003eAcademic Research\u003c\/a\u003e\u003ca class=\"chip cat\" href=\"\/collections\/fitness-health\"\u003eFitness Health\u003c\/a\u003e\u003ca class=\"chip cat\" href=\"\/collections\/video-animation\"\u003eVideo Animation\u003c\/a\u003e\u003ca class=\"chip cat\" href=\"\/collections\/streaming-production\"\u003eStreaming Production\u003c\/a\u003e\u003ca class=\"chip cat\" href=\"\/collections\/gaming-tools\"\u003eGaming Tools\u003c\/a\u003e\u003ca class=\"chip cat\" href=\"\/collections\/data-visualization\"\u003eData Visualization\u003c\/a\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"label\"\u003eTarget domains\u003c\/div\u003e\n\u003cdiv class=\"chip-row\"\u003e\n\u003ca class=\"chip dom\" href=\"\/collections\/sports-fitness\"\u003eSports Fitness\u003c\/a\u003e\u003ca class=\"chip dom\" href=\"\/collections\/healthcare-medicine\"\u003eHealthcare Medicine\u003c\/a\u003e\u003ca class=\"chip dom\" href=\"\/collections\/automotive-mobility\"\u003eAutomotive Mobility\u003c\/a\u003e\u003ca class=\"chip dom\" href=\"\/collections\/film-tv-video\"\u003eFilm Tv Video\u003c\/a\u003e\u003ca class=\"chip dom\" href=\"\/collections\/science-r-d\"\u003eScience R D\u003c\/a\u003e\u003ca class=\"chip dom\" href=\"\/collections\/education-academia\"\u003eEducation Academia\u003c\/a\u003e\u003ca class=\"chip dom\" href=\"\/collections\/arts-entertainment\"\u003eArts Entertainment\u003c\/a\u003e\u003ca class=\"chip dom\" href=\"\/collections\/mechanical-manufacturing\"\u003eMechanical Manufacturing\u003c\/a\u003e\u003ca class=\"chip dom\" href=\"\/collections\/data-ai\"\u003eData Ai\u003c\/a\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"cta-row\"\u003e\u003ca class=\"btn btn-primary\" href=\"https:\/\/simishape.com\/\" target=\"_blank\" rel=\"noopener\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"16\" height=\"16\"\u003e\u003cpath d=\"M15 3h6v6\"\u003e\u003c\/path\u003e\u003cpath d=\"M10 14 21 3\"\u003e\u003c\/path\u003e\u003cpath d=\"M18 13v6a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V8a2 2 0 0 1 2-2h6\"\u003e\u003c\/path\u003e\u003c\/svg\u003e Discover the technology\u003c\/a\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003caside class=\"snapshot\"\u003e\u003ch3\u003eSnapshot\u003c\/h3\u003e\n\u003cdl\u003e\n\u003cdiv class=\"row\"\u003e\n\u003cdt\u003ePricing model\u003c\/dt\u003e\n\u003cdd\u003eContact Sales\u003c\/dd\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"row\"\u003e\n\u003cdt\u003eAPI available\u003c\/dt\u003e\n\u003cdd\u003eNo\u003c\/dd\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"row\"\u003e\n\u003cdt\u003eDeployment\u003c\/dt\u003e\n\u003cdd\u003eDesktop app\u003c\/dd\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"row\"\u003e\n\u003cdt\u003eTool status\u003c\/dt\u003e\n\u003cdd\u003eSunset\u003c\/dd\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"row\"\u003e\n\u003cdt\u003eCountry of origin\u003c\/dt\u003e\n\u003cdd\u003e🇩🇩 Germany\u003c\/dd\u003e\n\u003c\/div\u003e\n\u003c\/dl\u003e\u003c\/aside\u003e\n\u003c\/div\u003e\u003c\/div\u003e\n\u003cnav class=\"toc\" aria-label=\"Page sections\"\u003e\u003ca href=\"#what\"\u003eWhat is it\u003c\/a\u003e\u003ca href=\"#bestnot\"\u003eWhen to use Simi Shape 3D \/ When not to\u003c\/a\u003e\u003ca href=\"#how\"\u003eHow to use\u003c\/a\u003e\u003ca href=\"#proscons\"\u003ePros \u0026amp; Cons\u003c\/a\u003e\u003ca href=\"#pricing\"\u003ePricing\u003c\/a\u003e\u003ca href=\"#trust\"\u003eTrust \u0026amp; Privacy\u003c\/a\u003e\u003ca href=\"#watch\"\u003eWatch-outs\u003c\/a\u003e\u003ca href=\"#setup\"\u003eSetup \u0026amp; Integrations\u003c\/a\u003e\u003ca href=\"#company\"\u003eCompany\u003c\/a\u003e\u003ca href=\"#resources\"\u003eResources\u003c\/a\u003e\u003ca href=\"#faq\"\u003eFAQ\u003c\/a\u003e\u003ca href=\"#conclusion\"\u003eConclusion\u003c\/a\u003e\u003c\/nav\u003e\n\u003csection class=\"block\" id=\"what\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eOverview\u003c\/span\u003e\u003ch2\u003eWhat is Simi Shape 3D?\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"grid-2\"\u003e\n\u003cdiv class=\"rich justify\"\u003e\n\u003cp\u003eSimi Shape 3D is a markerless motion capture and analysis module that runs as part of Simi Motion, the movement analysis software of German manufacturer Simi Reality Motion Systems GmbH. It reconstructs full-body 3D motion from video alone, using silhouette-based tracking driven by computer vision and machine learning algorithms, and it can quantify \u003ci\u003ehuman and non-human\u003c\/i\u003e movement.\u003c\/p\u003e\n\u003cp\u003eThe vendor describes a four-layer chain. An infrastructure layer records, stores, compresses, synchronises and calibrates any number and any type of cameras. A machine vision layer handles image manipulation and the localisation of objects and features. A 3D motion capture layer performs automated pose estimation on a full body or an object. A final layer covers data analytics and cloud, where recorded movements are stored, sorted, quantified and analysed. Camera count scales with the task: one camera can be enough, while more complex movements and larger spaces require more.\u003c\/p\u003e\n\u003cp\u003eBecause it sits inside Simi Motion, the module inherits a broad acquisition chain including synchronised high-speed video, kinematics, force plates, EMG and pressure measurement. It also supports \u003cb\u003ehybrid tracking\u003c\/b\u003e, where markers can be added to a markerless capture to resolve particular rotation axes or to validate results. The claimed benefits of dropping markers are no setup time, no misplacement errors, no artefacts from markers sliding on skin or clothing, no interference with the movement itself, and automatic processing.\u003c\/p\u003e\n\u003cp\u003eFour application areas are presented: sport, medicine, automotive and media. Commercially the technology appears as on-site multi-camera systems, a cloud-based production and analytics offer, and development partnerships for device-specific pose estimation.\u003c\/p\u003e\n\u003cp\u003eOne point is essential. Simi has been a subsidiary of the ZF Group since May 2019, and the vendor's own homepage states that its \u003cb\u003eSports and Life Science Motion Capture division has been closed as per April 2026\u003c\/b\u003e, even though the product site remains online and presents the product in the present tense.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003ch3 style=\"font-size:14px;margin-bottom:12px;color:var(--gv3-brand-ink);text-transform:uppercase;letter-spacing:.08em\"\u003eWhat it does\u003c\/h3\u003e\n\u003cul class=\"brand-list\"\u003e\n\u003cli\u003eCapture full-body 3D motion without attaching a single marker\u003c\/li\u003e\n\u003cli\u003eCombine markers and markerless tracking within the same recording\u003c\/li\u003e\n\u003cli\u003eSynchronise and calibrate any number and type of cameras\u003c\/li\u003e\n\u003cli\u003eEstimate 3D pose automatically for a body or an object\u003c\/li\u003e\n\u003cli\u003eQuantify and analyse recorded movement in a few clicks\u003c\/li\u003e\n\u003cli\u003eProcess high volumes of captures automatically for large-scale analytics\u003c\/li\u003e\n\u003cli\u003eTrack non-human movement as well as human movement\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/section\u003e\n\u003csection class=\"block soft\" id=\"bestnot\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eAudience\u003c\/span\u003e\u003ch2\u003eWhen to use Simi Shape 3D \/ When not to\u003c\/h2\u003e\n\u003cp class=\"lead\"\u003eA quick filter to help you decide if Simi Shape 3D is the right fit.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"bestnot\"\u003e\n\u003cdiv class=\"card for\"\u003e\n\u003ch3\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"16\" height=\"16\"\u003e\u003cpath d=\"M7 10v12\"\u003e\u003c\/path\u003e\u003cpath d=\"M15 5.88 14 10h5.83a2 2 0 0 1 1.92 2.56l-2.33 8A2 2 0 0 1 17.5 22H4a2 2 0 0 1-2-2v-8a2 2 0 0 1 2-2h2.76a2 2 0 0 0 1.79-1.11L12 2a3.13 3.13 0 0 1 3 3.88Z\"\u003e\u003c\/path\u003e\u003c\/svg\u003e When to use Simi Shape 3D\u003c\/h3\u003e\n\u003cul class=\"brand-list\"\u003e\n\u003cli\u003eBiomechanics laboratories and movement-science research groups that need marker-free capture validated against reference methods\u003c\/li\u003e\n\u003cli\u003eSports performance staff working on technique, tactics, competition analysis and feedback training at high volume\u003c\/li\u003e\n\u003cli\u003eClinical teams running gait, running and jump analysis or return-to-sport assessments\u003c\/li\u003e\n\u003cli\u003eAutomotive engineering teams working on occupant ergonomics, human-machine interaction, robotics and autonomous driving\u003c\/li\u003e\n\u003cli\u003eAnimation, VR\/AR and broadcast teams that need character motion or live sports data without suiting up a performer\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"card not\"\u003e\n\u003ch3\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"16\" height=\"16\"\u003e\u003cpath d=\"M17 14V2\"\u003e\u003c\/path\u003e\u003cpath d=\"M9 18.12 10 14H4.17a2 2 0 0 1-1.92-2.56l2.33-8A2 2 0 0 1 6.5 2H20a2 2 0 0 1 2 2v8a2 2 0 0 1-2 2h-2.76a2 2 0 0 0-1.79 1.11L12 22a3.13 3.13 0 0 1-3-3.88Z\"\u003e\u003c\/path\u003e\u003c\/svg\u003e When not to use Simi Shape 3D\u003c\/h3\u003e\n\u003cul class=\"brand-list\"\u003e\n\u003cli\u003eIndividuals and small studios: the enquiry form only offers budget brackets above 80,000 EUR and above 150,000 EUR\u003c\/li\u003e\n\u003cli\u003eConsumers, since the general terms of sale apply exclusively to businesses and public-law entities\u003c\/li\u003e\n\u003cli\u003eTeams wanting to install software themselves: there is no download, no trial version and no public documentation\u003c\/li\u003e\n\u003cli\u003eDevelopers looking to embed motion capture in their own stack, as no API or SDK is offered\u003c\/li\u003e\n\u003cli\u003eBuyers who need a product with a guaranteed roadmap, given that the vendor states its sports and life science division closed in April 2026\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/section\u003e\n\u003csection class=\"block soft\" id=\"how\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eGet started\u003c\/span\u003e\u003ch2\u003eHow to use Simi Shape 3D\u003c\/h2\u003e\n\u003cp class=\"lead\"\u003eA typical end-to-end flow, from setup to results.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003col class=\"steps\"\u003e\n\u003cli\u003eContact the vendor through the enquiry form or by writing to sales@simi.com, indicating your application area and budget bracket\u003c\/li\u003e\n\u003cli\u003eScope the installation with the vendor: the number of cameras depends on how complex the movement is and how large the capture volume needs to be\u003c\/li\u003e\n\u003cli\u003eTake delivery of the system, including the specialised PC that the vendor configures for high-speed camera recording and movement analysis\u003c\/li\u003e\n\u003cli\u003eInstall the camera infrastructure in the capture space, whether laboratory, gym or stadium\u003c\/li\u003e\n\u003cli\u003eLet the infrastructure layer record, store, compress, synchronise and calibrate the camera streams\u003c\/li\u003e\n\u003cli\u003eRecord the movement markerless, adding physical markers only if you want hybrid tracking for specific axes or for validation\u003c\/li\u003e\n\u003cli\u003eLet the automated 3D pose estimation process the capture without manual labelling\u003c\/li\u003e\n\u003cli\u003eStore, sort, quantify and analyse the recorded movements in the analytics layer\u003c\/li\u003e\n\u003cli\u003eOptionally add the Simi Motion Remote Control tablet to start and stop recordings, import teams and exercises from XML and replay in super slow motion on a second screen\u003c\/li\u003e\n\u003cli\u003eUse the included support hours, then contact service@simi.com for further assistance during German business hours\u003c\/li\u003e\n\u003c\/ol\u003e\u003c\/section\u003e\n\u003csection class=\"block\" id=\"proscons\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eQuick read\u003c\/span\u003e\u003ch2\u003ePros \u0026amp; Cons\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"grid-2\"\u003e\n\u003cdiv class=\"pc pros\"\u003e\n\u003ch3\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003ccircle cx=\"12\" cy=\"12\" r=\"10\"\u003e\u003c\/circle\u003e\u003cpath d=\"m9 12 2 2 4-4\"\u003e\u003c\/path\u003e\u003c\/svg\u003e Pros\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003eRemoves every constraint tied to markers: no attachment time, no misplacement errors, no skin or clothing artefacts, and no interference with the movement\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003eHybrid tracking remains available when a difficult rotation axis or a validation step needs physical markers\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003eScales from a single camera to a multi-camera rig, and the vendor states any camera can be used\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003eAutomated processing is designed for high-volume, big-data style analysis rather than clip-by-clip work\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003eSits inside a rich measurement chain with force plates, EMG, pressure and synchronised high-speed video\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003eBacked by more than thirty years of vision-based movement analysis and a claimed base of over 1000 customers\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003eUnusually transparent contractual documentation: terms of sale, service rules, published service rates and support hours tied to order value\u003c\/span\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pc cons\"\u003e\n\u003ch3\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"16\" height=\"16\"\u003e\u003ccircle cx=\"12\" cy=\"12\" r=\"10\"\u003e\u003c\/circle\u003e\u003cline x1=\"4.93\" y1=\"4.93\" x2=\"19.07\" y2=\"19.07\"\u003e\u003c\/line\u003e\u003c\/svg\u003e Cons\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"18\" y1=\"6\" x2=\"6\" y2=\"18\"\u003e\u003c\/line\u003e\u003cline x1=\"6\" y1=\"6\" x2=\"18\" y2=\"18\"\u003e\u003c\/line\u003e\u003c\/svg\u003e \u003cspan\u003eThe vendor states on its own homepage that the Sports and Life Science Motion Capture division closed in April 2026, while the product site still presents the product as current\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"18\" y1=\"6\" x2=\"6\" y2=\"18\"\u003e\u003c\/line\u003e\u003cline x1=\"6\" y1=\"6\" x2=\"18\" y2=\"18\"\u003e\u003c\/line\u003e\u003c\/svg\u003e \u003cspan\u003eNo licence or system price is published anywhere: buying goes through a quotation, and the only budget brackets offered start above 80,000 EUR\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"18\" y1=\"6\" x2=\"6\" y2=\"18\"\u003e\u003c\/line\u003e\u003cline x1=\"6\" y1=\"6\" x2=\"18\" y2=\"18\"\u003e\u003c\/line\u003e\u003c\/svg\u003e \u003cspan\u003eHeavy hardware dependency: multiple cameras plus a vendor-supplied dedicated PC on which installing any other software voids the warranty\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"18\" y1=\"6\" x2=\"6\" y2=\"18\"\u003e\u003c\/line\u003e\u003cline x1=\"6\" y1=\"6\" x2=\"18\" y2=\"18\"\u003e\u003c\/line\u003e\u003c\/svg\u003e \u003cspan\u003eNo API, no SDK and no mobile application, so the software cannot be embedded in another stack\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"18\" y1=\"6\" x2=\"6\" y2=\"18\"\u003e\u003c\/line\u003e\u003cline x1=\"6\" y1=\"6\" x2=\"18\" y2=\"18\"\u003e\u003c\/line\u003e\u003c\/svg\u003e \u003cspan\u003eThe product site is a single landing page with no documentation, no pricing page, no trial and no changelog\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"18\" y1=\"6\" x2=\"6\" y2=\"18\"\u003e\u003c\/line\u003e\u003cline x1=\"6\" y1=\"6\" x2=\"18\" y2=\"18\"\u003e\u003c\/line\u003e\u003c\/svg\u003e \u003cspan\u003eThe privacy policy covers website visits only and says nothing about the movement data recorded, which can be health or biometric data depending on use\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"18\" y1=\"6\" x2=\"6\" y2=\"18\"\u003e\u003c\/line\u003e\u003cline x1=\"6\" y1=\"6\" x2=\"18\" y2=\"18\"\u003e\u003c\/line\u003e\u003c\/svg\u003e \u003cspan\u003eSupport is chargeable beyond the included hours, limited to German business hours, and systems ordered more than five years ago get no free service at all\u003c\/span\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/section\u003e\n\u003csection class=\"block soft\" id=\"pricing\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003ePricing\u003c\/span\u003e\u003ch2\u003ePricing \u0026amp; Plans\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003cp class=\"rich justify\" style=\"color:var(--gv3-ink-2);margin:0 0 18px;max-width:80ch\"\u003eThere is no free plan and no free trial, and no licence or system price is published. Simi Shape 3D is sold by quotation: the enquiry form asks for an application area and a budget bracket, the two options offered being above 80,000 EUR and above 150,000 EUR, which are qualifiers rather than prices. The only figures the vendor publishes are service rates, set out in its service guideline. A day of on-site service costs 1,290 EUR plus tax within Europe and the United States, and 1,800 EUR in all other countries. An additional non-complimentary service hour costs 150 EUR. A replacement system can be rented at 30 EUR per day plus tax. Complimentary support hours are granted after purchase according to net order value, from 30 hours above 100,000 EUR down to none below 2,000 EUR, and are cut by 90 percent where hardware exceeds 60 percent of the order. The vendor states service prices may change without prior notice.\u003c\/p\u003e\n\u003cdiv class=\"pricing-extras\"\u003e\u003cdiv class=\"affiliate-note\"\u003ePrices and plans listed above may evolve. Always check the official pricing page before subscribing.\u003c\/div\u003e\u003c\/div\u003e\u003c\/section\u003e\n\u003csection class=\"block\" id=\"trust\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eTrust \u0026amp; Privacy\u003c\/span\u003e\u003ch2\u003eData, GDPR \u0026amp; hosting\u003c\/h2\u003e\n\u003cp class=\"lead\"\u003eA consolidated view of how Simi Shape 3D handles your data.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"trust-grid\"\u003e\n\u003cdiv class=\"col\"\u003e\n\u003cdiv class=\"trust-card\"\u003e\n\u003ch3\u003eGDPR overview\u003c\/h3\u003e\n\u003cp class=\"justify\" style=\"color:var(--gv3-ink-2);margin:0\"\u003eThe vendor is established in Germany, so no Article 27 representative is required or named. Its data protection page names a statutory data protection officer, Philipp Ruß, reachable on +49-89-321459-0 and at simi@simi.com, and states that personal data is treated confidentially and in accordance with statutory data protection law. The policy is written entirely under the GDPR, citing Article 6(1)(a), (b) and (f) as legal bases and listing the rights of access, rectification, erasure, restriction, portability, objection under Article 21, withdrawal of consent and complaint to a supervisory authority. SSL\/TLS encryption is mentioned, IP anonymisation is enabled for analytics, and a processing agreement is in place with Google. Two limits matter: the policy carries no effective date or version number, and it addresses website visitors only, saying nothing about the movement data the software records.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"trust-card\"\u003e\n\u003ch3\u003eWho owns the data?\u003c\/h3\u003e\n\u003cp class=\"justify\" style=\"color:var(--gv3-ink-2);margin:0 0 12px\"\u003eNeither the website terms nor the general conditions of sale state who owns the motion data the software produces. The published privacy policy covers website visitors only. The one explicit allocation of responsibility appears in the service rules: if a system is returned to the factory, all data security, protection and privacy duties fall on the customer, who must secure and externally store personal data beforehand, and the vendor accepts no responsibility for anything left on the machine. In practice the software runs on a customer-operated PC, so captured data stays with the customer, but no contractual clause confirms ownership. This is a documentation gap worth raising with the vendor.\u003c\/p\u003e\n\u003ch3\u003eReuse rights\u003c\/h3\u003e\n\u003cp class=\"justify\" style=\"color:var(--gv3-ink-2);margin:0\"\u003eThe published documents say nothing about whether customers may reuse the motion data they record, and impose no licence restriction on it. Because the system is delivered as software on a dedicated PC operated by the customer, recorded material is held by the customer rather than by the vendor, and no clause requires permission before using, publishing or sharing it. The only restrictions the vendor does impose concern the machine itself: installing third-party software on the supplied PC voids all warranty claims. Website content is separately protected by German copyright, with reproduction and distribution beyond private use requiring written consent. Anyone with a contractual need for certainty on reuse rights should request it in writing.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"trust-card\"\u003e\n\u003ch3\u003eData retention \u0026amp; training\u003c\/h3\u003e\n\u003cdiv class=\"kv\"\u003e\n\u003cdiv class=\"k\"\u003eRetention summary\u003c\/div\u003e\n\u003cdiv class=\"v justify\"\u003eThe vendor publishes retention rules for website data only, and none for the movement data the software records. Details submitted through the contact form, or by email, telephone or fax, are kept until you ask for deletion, withdraw your consent, or the purpose lapses, with statutory retention obligations reserved. For analytics, user-level and event-level data held by Google and linked to cookies or identifiers is anonymised or deleted after 14 months. Session cookies are removed automatically at the end of a visit; other cookies remain until you delete them. The rights to erasure and to restriction of processing are both stated explicitly. The policy carries no effective date or version number, so there is no way to tell how current these rules are.\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"kv\"\u003e\n\u003cdiv class=\"k\"\u003eGDPR contact\u003c\/div\u003e\n\u003cdiv class=\"v\"\u003e\u003ca href=\"mailto:simi@simi.com\"\u003esimi@simi.com\u003c\/a\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"col\"\u003e\u003cdiv class=\"trust-card\"\u003e\n\u003ch3\u003eHosting summary\u003c\/h3\u003e\n\u003cp class=\"justify\" style=\"color:var(--gv3-ink-2);margin:0 0 14px\"\u003eThe vendor discloses very little about hosting. Its privacy policy states that the website is hosted by an external service provider but never names that provider, its country or its region, so no hosting jurisdiction is declared. For analytics, the policy notes that information generated by Google Analytics cookies is usually transmitted to a Google server in the United States and stored there, with IP anonymisation activated. As a purely technical observation rather than a vendor commitment, the site's IP address resolves to a host in Nuremberg, Germany. The product itself is software installed on a dedicated PC operated by the customer, so recorded movement data normally stays on customer premises. The one exception is the cloud-based production and analytics offer the vendor advertises, for which no hosting location, jurisdiction or safeguard is documented anywhere. Buyers with data residency requirements will need to ask directly.\u003c\/p\u003e\n\u003c\/div\u003e\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/section\u003e\n\u003csection class=\"block watch\" id=\"watch\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eWatch-outs\u003c\/span\u003e\u003ch2\u003eThings to keep in mind\u003c\/h2\u003e\n\u003cp class=\"lead\"\u003eRisks and trade-offs to weigh before adopting Simi Shape 3D.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cul class=\"brand-list\" style=\"grid-template-columns:repeat(2,1fr);display:grid;gap:12px 24px\"\u003e\n\u003cli\u003eThe vendor states its Sports and Life Science Motion Capture division closed in April 2026 while the product site still sells the product in the present tense: confirm commercial and support status in writing before any commitment\u003c\/li\u003e\n\u003cli\u003eNo email address exists on the product's own domain; every contact runs through the publisher's separate simi.com domain, so verify you are corresponding with the right entity\u003c\/li\u003e\n\u003cli\u003eThe domain is registered to ZF Automotive Germany GmbH rather than to the company named in the site notice, which is consistent with group ownership but worth confirming\u003c\/li\u003e\n\u003cli\u003eThe privacy policy covers website visits only and is silent on the movement data recorded, which may qualify as health or biometric data in clinical and sports settings; capturing people's bodies demands consent and a legal basis the vendor does not document\u003c\/li\u003e\n\u003cli\u003eAccuracy claims such as the world's most accurate markerless system are vendor statements: ask for the validation studies before treating outputs as clinically or scientifically authoritative\u003c\/li\u003e\n\u003cli\u003eAutomated pose estimation can look more objective than it is; treat outputs as measurements with error bars, not as ground truth, especially when decisions about an athlete's health or return to play depend on them\u003c\/li\u003e\n\u003cli\u003eThe contractual documents are dated: terms of sale from 2014 and service rules declared effective on 31\/9\/2013, a date that does not exist in the calendar\u003c\/li\u003e\n\u003c\/ul\u003e\u003c\/section\u003e\n\u003csection class=\"block\" id=\"setup\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eSetup\u003c\/span\u003e\u003ch2\u003eSetup \u0026amp; Integrations\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"setup-grid\"\u003e\u003cdiv class=\"setup-card\"\u003e\n\u003ch3 style=\"font-size:15px;margin-bottom:10px\"\u003eTechnical difficulty\u003c\/h3\u003e\n\u003cp class=\"justify\" style=\"color:var(--gv3-ink-2);margin:0 0 14px\"\u003eHigh. This is not self-service software: there is no download, no trial and no public documentation. A multi-camera rig must be installed, synchronised and calibrated in the capture space, with camera count driven by movement complexity and volume size. The system arrives on a specialised PC the vendor configures, and installing anything else on it voids the warranty. Simi Shape 3D is a module of Simi Motion, so a full Simi Motion installation is a prerequisite. Work not directly tied to the vendor's products, such as network integration, drivers or third-party EMG software, is billed separately.\u003c\/p\u003e\n\u003ch3 style=\"font-size:15px;margin:14px 0 10px\"\u003eDeployment\u003c\/h3\u003e\n\u003cdiv class=\"flag-row\"\u003e\u003cspan class=\"flag\"\u003eDesktop app\u003c\/span\u003e\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/div\u003e\u003c\/section\u003e\n\u003csection class=\"block soft\" id=\"company\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eCompany\u003c\/span\u003e\u003ch2\u003eBehind Simi Shape 3D\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"company-grid\"\u003e\n\u003cdiv class=\"company-card\"\u003e\n\u003cdiv class=\"kv\"\u003e\n\u003cdiv class=\"k\"\u003eCompany name\u003c\/div\u003e\n\u003cdiv class=\"v\"\u003e\u003cb\u003eSimi Reality Motion Systems GmbH\u003c\/b\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"kv\"\u003e\n\u003cdiv class=\"k\"\u003eFounded\u003c\/div\u003e\n\u003cdiv class=\"v\"\u003eINFORMATION_NOT_FOUND\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"kv\"\u003e\n\u003cdiv class=\"k\"\u003eCountry of origin\u003c\/div\u003e\n\u003cdiv class=\"v\"\u003e🇩🇩 Germany\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"kv\"\u003e\n\u003cdiv class=\"k\"\u003eHeadquarters\u003c\/div\u003e\n\u003cdiv class=\"v\"\u003eMax-Planck-Straße 11, 85716 Unterschleißheim, Germany\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"kv\"\u003e\n\u003cdiv class=\"k\"\u003eUS office\u003c\/div\u003e\n\u003cdiv class=\"v\"\u003eSimi US Motion Inc., 8830 South Sepulveda Boulevard, Los Angeles, California 90045, USA\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"kv\"\u003e\n\u003cdiv class=\"k\"\u003eUBO\u003c\/div\u003e\n\u003cdiv class=\"v\"\u003eZF Group\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"kv\"\u003e\n\u003cdiv class=\"k\"\u003eUBO country\u003c\/div\u003e\n\u003cdiv class=\"v\"\u003e🇩🇩 Germany\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"kv\"\u003e\n\u003cdiv class=\"k\"\u003eDomain registrar country\u003c\/div\u003e\n\u003cdiv class=\"v\"\u003e🇩🇩 Germany\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"kv\"\u003e\n\u003cdiv class=\"k\"\u003eLegal contact\u003c\/div\u003e\n\u003cdiv class=\"v\"\u003e\u003ca href=\"mailto:simi@simi.com\"\u003esimi@simi.com\u003c\/a\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"kv\"\u003e\n\u003cdiv class=\"k\"\u003eSupport contact\u003c\/div\u003e\n\u003cdiv class=\"v\"\u003e\u003ca href=\"mailto:service@simi.com\"\u003eservice@simi.com\u003c\/a\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"display:grid;gap:14px\"\u003e\u003cdiv class=\"company-card\"\u003e\n\u003ch3 style=\"font-size:15px;margin-bottom:10px\"\u003eSocial\u003c\/h3\u003e\n\u003cdiv class=\"social-row\"\u003e\n\u003ca class=\"social\" href=\"https:\/\/de.linkedin.com\/company\/simi-reality-motion-systems-gmbh\" target=\"_blank\" rel=\"noopener\" aria-label=\"LinkedIn\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"18\" height=\"18\"\u003e\u003cpath d=\"M16 8a6 6 0 0 1 6 6v7h-4v-7a2 2 0 0 0-4 0v7h-4v-7a6 6 0 0 1 6-6z\"\u003e\u003c\/path\u003e\u003crect x=\"2\" y=\"9\" width=\"4\" height=\"12\"\u003e\u003c\/rect\u003e\u003ccircle cx=\"4\" cy=\"4\" r=\"2\"\u003e\u003c\/circle\u003e\u003c\/svg\u003e\u003c\/a\u003e\u003ca class=\"social\" href=\"https:\/\/www.instagram.com\/simi_reality_motion_systems\/\" target=\"_blank\" rel=\"noopener\" aria-label=\"Instagram\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"18\" height=\"18\"\u003e\u003crect x=\"2\" y=\"2\" width=\"20\" height=\"20\" rx=\"5\"\u003e\u003c\/rect\u003e\u003cpath d=\"M16 11.37A4 4 0 1 1 12.63 8 4 4 0 0 1 16 11.37z\"\u003e\u003c\/path\u003e\u003cline x1=\"17.5\" y1=\"6.5\" x2=\"17.51\" y2=\"6.5\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003c\/a\u003e\u003ca class=\"social\" href=\"https:\/\/www.youtube.com\/user\/SimiSystems\" target=\"_blank\" rel=\"noopener\" aria-label=\"YouTube\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"18\" height=\"18\"\u003e\u003cpath d=\"M22.54 6.42a2.78 2.78 0 0 0-1.94-2C18.88 4 12 4 12 4s-6.88 0-8.6.46a2.78 2.78 0 0 0-1.94 2A29 29 0 0 0 1 11.75a29 29 0 0 0 .46 5.33A2.78 2.78 0 0 0 3.4 19c1.72.46 8.6.46 8.6.46s6.88 0 8.6-.46a2.78 2.78 0 0 0 1.94-2 29 29 0 0 0 .46-5.25 29 29 0 0 0-.46-5.33z\"\u003e\u003c\/path\u003e\u003cpolygon points=\"9.75 15.02 15.5 11.75 9.75 8.48 9.75 15.02\"\u003e\u003c\/polygon\u003e\u003c\/svg\u003e\u003c\/a\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/section\u003e\n\u003csection class=\"block\" id=\"resources\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eOfficial links\u003c\/span\u003e\u003ch2\u003eResources\u003c\/h2\u003e\n\u003cp class=\"lead\"\u003eAll the official URLs gathered for verification and reference.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"res-grid\"\u003e\n\u003ca class=\"res\" href=\"https:\/\/simishape.com\/\" target=\"_blank\" rel=\"noopener\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003ccircle cx=\"12\" cy=\"12\" r=\"10\"\u003e\u003c\/circle\u003e\u003cpath d=\"M12 2a14.5 14.5 0 0 0 0 20 14.5 14.5 0 0 0 0-20\"\u003e\u003c\/path\u003e\u003cpath d=\"M2 12h20\"\u003e\u003c\/path\u003e\u003c\/svg\u003e\u003cdiv class=\"res-text\"\u003e\n\u003cdiv\u003eHomepage\u003c\/div\u003e\n\u003cdiv class=\"url\"\u003esimishape.com\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/a\u003e\u003ca class=\"res\" href=\"http:\/\/www.simi.com\/en\/products\/movement-analysis\/markerless-motion-capture.html\" target=\"_blank\" rel=\"noopener\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolygon points=\"12 2 2 7 12 12 22 7 12 2\"\u003e\u003c\/polygon\u003e\u003cpolyline points=\"2 17 12 22 22 17\"\u003e\u003c\/polyline\u003e\u003cpolyline points=\"2 12 12 17 22 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e\u003cdiv class=\"res-text\"\u003e\n\u003cdiv\u003eFeatures\u003c\/div\u003e\n\u003cdiv class=\"url\"\u003ewww.simi.com\/en\/products\/movement-analysis\/markerless-motion-capture.html\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/a\u003e\u003ca class=\"res\" href=\"http:\/\/www.simi.com\/en\/about-us.html\" target=\"_blank\" rel=\"noopener\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003ccircle cx=\"12\" cy=\"12\" r=\"10\"\u003e\u003c\/circle\u003e\u003cline x1=\"12\" y1=\"16\" x2=\"12\" y2=\"12\"\u003e\u003c\/line\u003e\u003cline x1=\"12\" y1=\"8\" x2=\"12.01\" y2=\"8\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003cdiv class=\"res-text\"\u003e\n\u003cdiv\u003eAbout\u003c\/div\u003e\n\u003cdiv class=\"url\"\u003ewww.simi.com\/en\/about-us.html\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/a\u003e\u003ca class=\"res\" href=\"https:\/\/simishape.com\/#contact\" target=\"_blank\" rel=\"noopener\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003crect x=\"2\" y=\"4\" width=\"20\" height=\"16\" rx=\"2\"\u003e\u003c\/rect\u003e\u003cpath d=\"m22 7-10 5L2 7\"\u003e\u003c\/path\u003e\u003c\/svg\u003e\u003cdiv class=\"res-text\"\u003e\n\u003cdiv\u003eContact\u003c\/div\u003e\n\u003cdiv class=\"url\"\u003esimishape.com\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/a\u003e\u003ca class=\"res\" href=\"http:\/\/www.simi.com\/fileadmin\/user_upload\/Dokumente\/Allgemein\/Simi_AGB.pdf\" target=\"_blank\" rel=\"noopener\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpath d=\"M14 2H6a2 2 0 0 0-2 2v16a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V8z\"\u003e\u003c\/path\u003e\u003cpolyline points=\"14 2 14 8 20 8\"\u003e\u003c\/polyline\u003e\u003cline x1=\"16\" y1=\"13\" x2=\"8\" y2=\"13\"\u003e\u003c\/line\u003e\u003cline x1=\"16\" y1=\"17\" x2=\"8\" y2=\"17\"\u003e\u003c\/line\u003e\u003cpolyline points=\"10 9 9 9 8 9\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e\u003cdiv class=\"res-text\"\u003e\n\u003cdiv\u003eTerms\u003c\/div\u003e\n\u003cdiv class=\"url\"\u003ewww.simi.com\/fileadmin\/user_upload\/Dokumente\/Allgemein\/Simi_AGB.pdf\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/a\u003e\u003ca class=\"res\" href=\"https:\/\/simishape.com\/datenschutz\/\" target=\"_blank\" rel=\"noopener\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpath d=\"M12 22s8-4 8-10V5l-8-3-8 3v7c0 6 8 10 8 10z\"\u003e\u003c\/path\u003e\u003c\/svg\u003e\u003cdiv class=\"res-text\"\u003e\n\u003cdiv\u003ePrivacy policy\u003c\/div\u003e\n\u003cdiv class=\"url\"\u003esimishape.com\/datenschutz\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/a\u003e\n\u003c\/div\u003e\u003c\/section\u003e\n\u003csection class=\"block\" id=\"faq\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eFAQ\u003c\/span\u003e\u003ch2\u003eFrequently asked questions\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"faq\"\u003e\n\u003cdetails\u003e\u003csummary\u003eWhat exactly is Simi Shape 3D? \u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"12\" y1=\"5\" x2=\"12\" y2=\"19\"\u003e\u003c\/line\u003e\u003cline x1=\"5\" y1=\"12\" x2=\"19\" y2=\"12\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003c\/summary\u003e\u003cdiv class=\"ans justify\"\u003eIt is a markerless motion capture and analysis module that runs as part of Simi Motion. It reconstructs full-body 3D motion from video using silhouette-based tracking driven by computer vision and machine learning, and it works on human and non-human movement alike.\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eHow many cameras do I need? \u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"12\" y1=\"5\" x2=\"12\" y2=\"19\"\u003e\u003c\/line\u003e\u003cline x1=\"5\" y1=\"12\" x2=\"19\" y2=\"12\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003c\/summary\u003e\u003cdiv class=\"ans justify\"\u003eAnywhere from one to several. The vendor states that the more complex the movement and the larger the space, the more cameras are needed to capture accurate 3D data, and recommends discussing your specific application with its sales team.\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eWhich cameras are supported? \u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"12\" y1=\"5\" x2=\"12\" y2=\"19\"\u003e\u003c\/line\u003e\u003cline x1=\"5\" y1=\"12\" x2=\"19\" y2=\"12\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003c\/summary\u003e\u003cdiv class=\"ans justify\"\u003eAccording to the vendor, its technology can use any camera, and it says it supplies only the best quality to its customers. Camera choice is therefore part of the system specification agreed during the quotation.\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eHow accurate is it? \u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"12\" y1=\"5\" x2=\"12\" y2=\"19\"\u003e\u003c\/line\u003e\u003cline x1=\"5\" y1=\"12\" x2=\"19\" y2=\"12\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003c\/summary\u003e\u003cdiv class=\"ans justify\"\u003eThe vendor describes it as the world's most accurate markerless 3D motion capture system, validated against gold standard methods in several studies, and claims the highest accuracy on the market. These are vendor claims; ask for the research and validation material before relying on them.\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eWhy choose markerless over marker-based capture? \u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"12\" y1=\"5\" x2=\"12\" y2=\"19\"\u003e\u003c\/line\u003e\u003cline x1=\"5\" y1=\"12\" x2=\"19\" y2=\"12\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003c\/summary\u003e\u003cdiv class=\"ans justify\"\u003eMarkerless removes setup time, misplacement errors, artefacts caused by markers moving on skin or clothing, and any interference with the movement. The vendor also positions it for big-data use cases and for situations where marker or sensor tracking simply fails.\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eCan I still use markers if I need them? \u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"12\" y1=\"5\" x2=\"12\" y2=\"19\"\u003e\u003c\/line\u003e\u003cline x1=\"5\" y1=\"12\" x2=\"19\" y2=\"12\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003c\/summary\u003e\u003cdiv class=\"ans justify\"\u003eYes. Simi Shape integrated with Simi Motion supports hybrid capture, so physical markers can be added to a markerless recording, for example to resolve certain rotation axes or to validate the results.\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eIs there an API? \u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"12\" y1=\"5\" x2=\"12\" y2=\"19\"\u003e\u003c\/line\u003e\u003cline x1=\"5\" y1=\"12\" x2=\"19\" y2=\"12\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003c\/summary\u003e\u003cdiv class=\"ans justify\"\u003eNo. No API, SDK or developer documentation exists on the vendor's sites. The only remote-control option is the Simi Motion Remote Control tablet, which drives recording and replay and imports teams and exercises from XML, but it is not a programmable interface.\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eHow much does it cost? \u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"12\" y1=\"5\" x2=\"12\" y2=\"19\"\u003e\u003c\/line\u003e\u003cline x1=\"5\" y1=\"12\" x2=\"19\" y2=\"12\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003c\/summary\u003e\u003cdiv class=\"ans justify\"\u003eNo product price is public; the system is sold by quotation and the enquiry form only offers budget brackets above 80,000 EUR and above 150,000 EUR. The vendor does publish service rates: 1,290 EUR per on-site day in Europe and the United States, 1,800 EUR elsewhere, and 150 EUR per additional service hour.\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eIs the product still being sold? \u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"12\" y1=\"5\" x2=\"12\" y2=\"19\"\u003e\u003c\/line\u003e\u003cline x1=\"5\" y1=\"12\" x2=\"19\" y2=\"12\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003c\/summary\u003e\u003cdiv class=\"ans justify\"\u003eThis needs checking with the vendor. Its corporate site states that the Sports and Life Science Motion Capture division was closed as per April 2026, while the Simi Shape product site remains online and presents the product in the present tense. Confirm commercial and support status before committing.\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eWho is behind Simi Shape 3D? \u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"12\" y1=\"5\" x2=\"12\" y2=\"19\"\u003e\u003c\/line\u003e\u003cline x1=\"5\" y1=\"12\" x2=\"19\" y2=\"12\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003c\/summary\u003e\u003cdiv class=\"ans justify\"\u003eSimi Reality Motion Systems GmbH, based in Unterschleißheim near Munich, Germany, with a US subsidiary in Los Angeles. The company says it was founded in 1992 by Andreas Russ and has been a subsidiary of the ZF Group since May 2019.\u003c\/div\u003e\u003c\/details\u003e\n\u003c\/div\u003e\u003c\/section\u003e\n\u003csection class=\"block conclusion\" id=\"conclusion\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eConclusion\u003c\/span\u003e\u003ch2\u003eShould you pick Simi Shape 3D?\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"rich justify\" style=\"max-width:80ch\"\u003e\n\u003cp\u003eSimi Shape 3D is a serious piece of engineering with an unusually long lineage. Its publisher has spent more than thirty years on vision-based movement analysis and presents itself as the company that brought the first commercial markerless motion capture solution for biomechanics to market. The technical proposition is coherent: drop the markers, keep the accuracy, add hybrid capture when a difficult axis demands it, and plug the result into a measurement chain that already handles force plates, EMG and high-speed video. For a biomechanics laboratory or a performance department capturing at volume, that combination is genuinely valuable, and the published service rules and rates are more transparent than most vendors manage.\u003c\/p\u003e\n\u003cp\u003eThe reservation is significant and it concerns the product's future rather than its quality. The publisher's own homepage states that its Sports and Life Science Motion Capture division was closed as per April 2026, in the past tense and with a full farewell message, while the Simi Shape site stays online and still describes the product as current. The underlying 3D pose estimation work continues on the automotive side within the ZF Group, but that branch does not carry the Simi Shape name at all.\u003c\/p\u003e\n\u003cp\u003eThere is also no public price. Buying means a quotation, and the only budget brackets offered start above 80,000 EUR. Add the absence of any API, trial or self-service documentation, and this is a capital purchase requiring a direct conversation.\u003c\/p\u003e\n\u003cp\u003eAnyone interested should first ask the vendor, in writing, whether Simi Shape 3D is still sold and still supported, and on what terms. \u003cb\u003eVerify the commercial status before any commitment.\u003c\/b\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"cta-row\"\u003e\u003ca class=\"btn btn-primary\" href=\"https:\/\/simishape.com\/\" target=\"_blank\" rel=\"noopener\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"16\" height=\"16\"\u003e\u003cpath d=\"M15 3h6v6\"\u003e\u003c\/path\u003e\u003cpath d=\"M10 14 21 3\"\u003e\u003c\/path\u003e\u003cpath d=\"M18 13v6a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V8a2 2 0 0 1 2-2h6\"\u003e\u003c\/path\u003e\u003c\/svg\u003e Visit Simi Shape 3D\u003c\/a\u003e\u003c\/div\u003e\u003c\/section\u003e\n\u003c\/div\u003e","brand":"Simi Reality Motion Systems GmbH","offers":[{"title":"Default Title","offer_id":58389806285131,"sku":null,"price":0.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1038\/0905\/7099\/files\/official-simi-shape-3d-by-guidaio_dd83ef1c-3e2b-4c43-92b4-d258a6f6f816.png?v=1788735807","url":"https:\/\/guidaio.com\/products\/simi-shape-3d","provider":"Guidaio","version":"1.0","type":"link"}