--- title: "Sency Alternatives, Routed by Why You Are Leaving" canonical: "https://aifitnessapi.com/alternatives/sency-alternatives" cluster: "Alternatives" primary_query: "sency alternatives" last_reviewed: "2026-10-18" description: "Alternatives to Sency's SMKit by reason for leaving: web support, a cheaper paid plan, offline models, clinical scope or open licences. Checked, disclosed." publisher: "AIFitnessAPI — funded by KinesteX, the subject of this page; disclosure in body" cite_as: "\"Sency Alternatives, Routed by Why You Are Leaving\", AIFitnessAPI, https://aifitnessapi.com/alternatives/sency-alternatives" --- # Sency Alternatives, Routed by Why You Are Leaving > The right Sency alternative depends on why you are leaving. Sency's own platform table marks JavaScript as not available, so web products turn to MediaPipe's web Tasks API, MoveNet or KinesteX, which funds this site; teams wanting a cheaper first paid plan look at QuickPose; and teams that need models inside the app from the first launch use MediaPipe, Apple Vision or ML Kit, since Sency's iOS kits download their models from Sency's server. Clinical teams look at Kemtai, which describes an FDA listing and CE marking. - Canonical: https://aifitnessapi.com/alternatives/sency-alternatives - Last reviewed: 2026-10-18 - Publisher: AIFitnessAPI (https://aifitnessapi.com) — funded by KinesteX, the subject of this page; disclosure in body - Cite as: "Sency Alternatives, Routed by Why You Are Leaving", AIFitnessAPI, https://aifitnessapi.com/alternatives/sency-alternatives --- **Disclosure: this site is funded by KinesteX, which sells a motion-tracking SDK that competes with Sency.** KinesteX appears below in the groups where it genuinely fits, after the third-party options and labelled as ours. Every fact about every vendor comes from its own repositories, package registries or published pages as fetched on October 17, 2026; anything we could not verify is marked. ## What you would be replacing Sency's SDK README describes "AI motion analysis technology that understands and enhances human movement through just a smartphone camera—no extra hardware needed". In practice that is two products sharing one engine: - **The Custom Kit (SMKit)**, which Sency's version table calls a "Native no-UI SDK". Its iOS demo states the division of labour plainly: you own the camera preview, session lifecycle, exercise UI, skeleton rendering and result presentation. - **The Branded Kit (SMKitUI)**, where "the entire user interface and experience are ready to use" as a white label. Both kits cover iOS, Android, React Native and Flutter; Sency's own platform table marks JavaScript and Unity as not available. The README leads with initial movement and fitness assessments, monthly progress evaluations and personalized workout plans, and the iOS demo documents body calibration, adaptive range of motion and a session lifecycle. Sency also documents an MCP server for AI coding tools that need its SDK documentation, and its FAQ says data is "analyzed directly on the user's device, never sent to the cloud". Pricing is per monthly active user, counted once a month: its packages page lists a free Starter plan for up to 100 and a Growth plan from $499 a month for up to 3,800, while its main pricing page describes the first 100 as a paid tier after a free trial. [Sency pricing](/pricing/sency-pricing) sets out both. ## Why teams look elsewhere These are the reasons the sources support: - **No web target.** The platform table marks JavaScript "NA". A product with a browser or PWA surface needs something else for it. - **Models arrive from Sency's server.** The iOS SMKit README says version 2.3.6 "downloads models and required SDK assets from the server" and "does not include bundled fallback models", so the first configuration needs a connection; a valid cache can be used offline later. The Android demo README says the same of SMKit Android 1.9.6. If a cold first launch must work offline, or you must pin model files in your own app, that is a structural mismatch. - **Commercial terms are a separate agreement.** The LICENSE file in Sency's repositories is its Terms of Use, last updated in September 2022, and it says any commercial or production use is governed by a separate paid service agreement. It is not an open-source licence. - **A big first paid step, and two pages that disagree.** Above the free Starter plan, Sency's packages page lists Growth from $499 a month, and its main pricing page describes the first 100 users as a paid tier instead. Sign-up runs through a contact form that leads to a call. Teams that want a cheaper first paid plan or one unambiguous price list look elsewhere. - **Platform floors.** The Custom Kit's iOS demo pins iOS 16.0, and SMKitUI states iOS 15 or later. Teams still supporting older devices should check this first. ## The alternatives, by reason for leaving ### You need a web or PWA surface - **MediaPipe Pose Landmarker** has a web Tasks API that runs in the browser, under Apache-2.0, with no key. You build the exercise logic. See [MediaPipe Pose Landmarker models](/motion/mediapipe-pose-landmarker-models). - **MoveNet** runs through TensorFlow.js; its SinglePose models are Apache-2.0. See [MoveNet models](/motion/movenet-models). - **KinesteX**, which funds this site, has HTML and JavaScript and PWA integrations that load its hosted experience in an iframe, alongside iOS, Android, React Native and Flutter SDKs that wrap the same experience in a WebView. See [KinesteX vs Sency](/compare/kinestex-vs-sency), written to the same disclosure standard as this page. ### You want a cheaper first paid plan **QuickPose** publishes plans from $25 a month for up to 100 monthly active devices to $1,000 a month for up to 100,000, every SDK feature on every plan, with a free tier for 10 devices and a free SDK key. Units differ, devices against users, so model your own numbers. It is a MediaPipe-based toolkit of counters, range-of-motion measurement and overlays rather than an assessment and workout product, so compare scope as well as price: [QuickPose vs Sency](/compare/quickpose-vs-sency) and [QuickPose pricing](/pricing/quickpose-pricing). ### Models must ship inside your app and work offline from the first launch - **MediaPipe Pose Landmarker** loads a `.task` file you can bundle and pin, which Google's own Android sample does with a versioned download URL. - **Apple Vision** body pose runs from the operating system on iOS 14 and later (3D from iOS 17), with no model file at all. See [Apple Vision body pose](/motion/apple-vision-body-pose). - **ML Kit Pose Detection** runs on Android and iOS under Google's terms; its Android guide says the API "uses a bundled library that increases your app size". Google labels it beta and says it detects one person. See [ML Kit pose detection](/motion/ml-kit-pose-detection). - **QuickPose** bundles MediaPipe libraries in its SDK modules and describes on-device inference. ### Your product is clinical or regulated rehab **Kemtai** positions itself for that work: embeddable exercise and patient-management components, data APIs that pull exercise scores and range-of-motion results back into your system, a library of more than 2,000 exercises, processing on the device with no video recorded, and an FDA listing and CE marking as a medical device. Its API documentation is behind an email request and it publishes no prices, so expect a sales process. ### You want an open-source licence end to end MediaPipe's framework and Pose Landmarker models are Apache-2.0, and MoveNet's SinglePose code and model card are Apache-2.0. The text of the MoveNet MultiPose card carries no licence line, Ultralytics YOLO is AGPL-3.0 unless you buy an Enterprise License, and OpenPose is for noncommercial research only. [Pose estimation model licenses](/motion/pose-estimation-model-licenses) reads each one. ## What we verified, and where | Option | Verified | From | Not verified | | --- | --- | --- | --- | | Sency | Kits, platforms (JS and Unity NA), server-downloaded models, iOS floors, Terms of Use, published plans | Its GitHub repos and pricing pages | How its Growth rates combine; accuracy; the Exploration Kit's contents | | QuickPose | Published plans, MediaPipe-based modules, platforms, on-device claim | Its pricing page, GitHub repos and product pages | Accuracy | | MediaPipe | Web, Android, iOS and Python Tasks; Apache-2.0; pinned sample URLs | google-ai-edge repositories and Google's model card | Behaviour on your exercises | | Apple Vision | 2D from iOS 14, 3D from iOS 17 | Apple's documentation | Accuracy, which Apple does not publish | | ML Kit | 33 landmarks, one person, beta, Android and iOS | Google's ML Kit guide | Google's plans for the beta | | Kemtai | Embeddables, data APIs, exercise library, edge processing, regulatory claims | Its website | API docs (email-gated); pricing | | KinesteX | Iframe and WebView architecture, platforms, contact-form access | Its GitHub repos and website | Pricing (not published); accuracy | ## Is switching easy? Leaving Sency's Branded Kit means replacing a whole UI as well as the tracking. Leaving the Custom Kit is closer to a model swap, because your app already owns the camera, rendering and results, but assessments, feedback and plans that Sency computed become your code unless the new vendor supplies them. Run any candidate on your own recorded exercises first; [how to evaluate motion SDKs](/guides/evaluate-motion-sdks) sets out a fair protocol. ## Sources - [github.com/sency-ai/smkit-sdk](https://github.com/sency-ai/smkit-sdk) — description, kits, platform table, version table, FAQ and Terms of Use LICENSE (checked 2026-10-17) - [github.com/sency-ai/smkit-ios-demo](https://github.com/sency-ai/smkit-ios-demo) — iOS 16.0 Podfile, server-downloaded models, session lifecycle, calibration, adaptive ROM, MCP server (checked 2026-10-17) - [github.com/sency-ai/smkit-ui-ios-demo](https://github.com/sency-ai/smkit-ui-ios-demo) — SMKitUI iOS 15 or later (checked 2026-10-17) - [github.com/sency-ai/smkit-android-demo](https://github.com/sency-ai/smkit-android-demo) — server-delivered models (checked 2026-10-17) - [www.sency.ai/pricing-packages](https://www.sency.ai/pricing-packages) — Starter and Growth plans (read through a text reader; quotes re-checked on the page by CI) (checked 2026-10-18) - [www.sency.ai/pricing](https://www.sency.ai/pricing) — trial, paid monthly fee for the first 100, contact form (read through a text reader; quotes re-checked on the page by CI) (checked 2026-10-17) - [www.sency.ai/faq-motion-tracking](https://www.sency.ai/faq-motion-tracking) — on-device processing claim (read through a text reader; quotes re-checked on the page by CI) (checked 2026-10-18) - [quickpose.ai/sdk-pricing/](https://quickpose.ai/sdk-pricing/) — published plans (snapshot) (checked 2026-10-17) - [github.com/google-ai-edge/mediapipe](https://github.com/google-ai-edge/mediapipe) — Tasks platforms and Apache-2.0 (checked 2026-10-17) - [github.com/google-ai-edge/mediapipe-samples](https://github.com/google-ai-edge/mediapipe-samples) — the Android sample's versioned model URLs (checked 2026-10-17) - [developers.google.com/ml-kit/vision/pose-detection](https://developers.google.com/ml-kit/vision/pose-detection) — beta status, one person, 33 landmarks (checked 2026-10-17) - [developer.apple.com/documentation/vision/vndetecthumanbodyposerequest](https://developer.apple.com/documentation/vision/vndetecthumanbodyposerequest) — iOS 14.0; the 3D request from iOS 17.0 (checked 2026-10-17) - [kemtai.com/](https://kemtai.com/) — embeddables, data APIs, exercises, edge processing, regulatory claims (snapshot) (checked 2026-10-17) - [www.kinestex.com/docs](https://www.kinestex.com/docs) — platforms (snapshot) (checked 2026-10-17) ## FAQ ### Does Sency's SMKit work offline? After the first setup, partly. Sency's iOS SMKit README says the SDK downloads its models and required assets from Sency's server, includes no bundled fallback models, and needs the device online for the first configuration, after which a valid previously downloaded cache can be used offline. Its Android demo describes the same pattern. If a first launch must work with no connection, a model you bundle yourself, such as MediaPipe's, is the safer shape. [Permalink](https://aifitnessapi.com/alternatives/sency-alternatives#faq-1) ### Is there a Sency alternative for web apps? Yes, several. Sency's platform table marks JavaScript as not available. MediaPipe Pose Landmarker has a web Tasks API that runs in the browser, MoveNet runs through TensorFlow.js, and KinesteX, which funds this site, loads its hosted experience in an iframe for HTML, JavaScript and PWA products. The free models stop at keypoints, so the counting and feedback logic becomes your work. [Permalink](https://aifitnessapi.com/alternatives/sency-alternatives#faq-2) ### Is Sency's SDK open source? No. The LICENSE file in Sency's GitHub repositories is Sency's Terms of Use, last updated in September 2022, and it says commercial or production use is governed by a separate paid service agreement. The repositories are demos and documentation for a proprietary SDK. If you need an open-source licence end to end, MediaPipe and MoveNet's single-person models are Apache-2.0. [Permalink](https://aifitnessapi.com/alternatives/sency-alternatives#faq-3) ### Which Sency alternative suits clinical rehab products? Kemtai positions itself for that work. Its site describes embeddable exercise and patient-management components, data APIs that return exercise scores and range-of-motion results, a library of more than 2,000 exercises, processing on the device with no video recorded, and an FDA listing and CE marking as a medical device. Its API documentation is behind an email request and it publishes no prices, so expect a sales process. [Permalink](https://aifitnessapi.com/alternatives/sency-alternatives#faq-4)