--- title: "QuickPose vs Sency: Pose Toolkit or Motion Product?" canonical: "https://aifitnessapi.com/compare/quickpose-vs-sency" cluster: "Comparisons" primary_query: "quickpose vs sency" last_reviewed: "2026-10-18" description: "QuickPose vs Sency from their own repos and pages: MediaPipe toolkit vs assessment SDK, bundled vs downloaded models, per-device vs per-user prices." publisher: "AIFitnessAPI — funded by KinesteX, the subject of this page; disclosure in body" cite_as: "\"QuickPose vs Sency: Pose Toolkit or Motion Product?\", AIFitnessAPI, https://aifitnessapi.com/compare/quickpose-vs-sency" --- # QuickPose vs Sency: Pose Toolkit or Motion Product? > QuickPose and Sency both put camera-based movement tracking inside a native mobile app, but QuickPose is a toolkit of building blocks on top of MediaPipe while Sency is a motion product with assessments, workout plans and an optional ready-made UI. Pick QuickPose when you want counters and range-of-motion measurement inside your own product, paid plans from $25 a month, and models that ship with the app; pick Sency when you want assessments, plans or a white-label experience, or you need Flutter, and budget from $499 a month for its first published paid plan. Neither supports a web target from its public packages, and neither publishes an independent accuracy benchmark. - Canonical: https://aifitnessapi.com/compare/quickpose-vs-sency - Last reviewed: 2026-10-18 - Publisher: AIFitnessAPI (https://aifitnessapi.com) — funded by KinesteX, the subject of this page; disclosure in body - Cite as: "QuickPose vs Sency: Pose Toolkit or Motion Product?", AIFitnessAPI, https://aifitnessapi.com/compare/quickpose-vs-sency --- **Disclosure: this site is funded by KinesteX, which sells a motion-tracking SDK that competes with both QuickPose and Sency.** Neither product on this page is ours, and we have no reason to prefer either; KinesteX appears only in the closing section, labelled. Every fact below comes from the two vendors' own GitHub repositories, package registries and published pages as fetched on October 17 and 18, 2026. Sency's pricing and FAQ pages were read through a text reader, because the part of those pages our snapshot tool extracts holds only a contact form; an automated check re-tests every quoted passage against the live pages. ## Two different shapes of the same idea Both sell camera-based movement tracking for fitness and health apps, both run as native SDKs inside your app rather than as an embedded web view, and both cover iOS, Android and React Native. The difference is where each stops. **QuickPose is a toolkit on top of MediaPipe.** Its README describes "developer-oriented cutting edge ML features of MediaPipe and BlazePose", and its Swift package ships MediaPipe lite, full and heavy libraries as modules. What it adds is a layer of building blocks: overlays, range-of-motion measurement for shoulders, hips, knees, back and neck, counters for 20 named exercises, body-position feedback and gesture inputs. Your app owns the product around them. **Sency is a motion product with two front ends.** Its Custom Kit (SMKit) is a "Native no-UI SDK" where, per the iOS demo, you own the camera preview, session lifecycle, exercise UI, skeleton rendering and results. Its Branded Kit (SMKitUI) is a white-label UI where the whole experience is ready to use. Around both sit assessments, monthly progress evaluations and personalized workout plans, which is a layer QuickPose's repositories do not have. ## QuickPose vs Sency at a glance | | QuickPose | Sency | | --- | --- | --- | | What it is | MediaPipe and BlazePose wrapped with fitness building blocks | Motion SDK with assessments and workouts; no-UI Custom Kit or white-label Branded Kit | | Platforms | iOS 14.0+; Android API 26 (sample code API 28); React Native plugin | iOS, Android, React Native, Flutter; JavaScript and Unity marked "NA" | | iOS floor | iOS 14.0 | iOS 16.0 in the Custom Kit's demo Podfile; iOS 15 or later for SMKitUI | | Models | MediaPipe libraries ship inside the SDK modules; product pages describe on-device inference | Downloaded from Sency's server at configuration; no bundled fallback; a valid cache works offline later | | Built-in UI | Overlays and SwiftUI camera utilities | None in SMKit; a full white-label experience in SMKitUI | | Fitness layer | Exercise counters, range of motion, feedback events, gestures | Assessments, progress evaluations, workout plans, body calibration, adaptive range of motion | | Pricing published | Yes: free for 10 monthly active devices, then $25 to $1,000 a month up to 100,000 devices | Yes, on two pages that differ: Starter free up to 100 monthly active users and Growth from $499 a month up to 3,800 on one; a free trial, then a minimal monthly fee covering up to 100 active users, on the other | | Billing unit | Monthly active device | Monthly active user | | Getting a key | Free signup at dev.quickpose.ai | Key emailed after you subscribe to a plan; sign-up starts from a contact form | | Licence | Apache-2.0 on the iOS repo; terms license the SDK under Apache 2.0 with fees; npm plugin MIT | Proprietary: Sency's Terms of Use; commercial or production use needs a separate paid agreement | | Distribution | Swift Package Manager or CocoaPods from GitHub, Maven (ai.quickpose), npm @quickpose/react-native | CocoaPods and SPM from Sency's Bitbucket, Maven (com.sency), npm @sency/react-native-smkit and -ui, pub.dev flutter_smkit and flutter_smkit_ui | | Recent releases | npm plugin 0.7.1 on 2026-08-26; iOS and Android repos pushed late August 2026 | npm UI package 2.4.3 and Flutter UI 1.6.0 on 2026-09-23 | ## Where QuickPose wins **A far cheaper first paid step, and you can start today.** QuickPose's paid plans start at $25 a month for up to 100 monthly active devices and rise in small steps, every SDK feature is on every plan, and its SDK key is free to register. Sency's first published paid plan, Growth, starts from $499 a month; its key arrives by email after you subscribe to a plan, and its sign-up path runs through a contact form. For a small team launching on a few hundred phones, that difference is decisive. **The models are inside your app.** QuickPose's modules bundle MediaPipe, and its product pages describe on-device inference with no frames sent to a server. Sency's FAQ also says data is analyzed on the user's device and never sent to the cloud, but its iOS and Android SDKs fetch their models from Sency's server on first configuration, so a cold first launch with no connection cannot track. **A lower iOS floor and an open licence on the code.** iOS 14 against Sency's iOS 15 or 16, and Apache-2.0 iOS code under terms that license the SDK under Apache 2.0, against Sency's proprietary Terms of Use. **Measurement breadth.** Range of motion for five joint groups and counters for 20 exercises are exposed as building blocks you can recombine, which suits biomechanics, physio-style measurement and custom exercise logic. ## Where Sency wins **Flutter.** Sency ships Flutter packages for both kits; QuickPose's public packages cover iOS, Android and React Native. **A finished experience if you want one.** SMKitUI is a white-label experience that is ready to use. QuickPose gives you overlays and camera utilities, but the screens, flow and content are yours to build. **Assessments and plans.** Sency's README leads with movement and fitness assessments, monthly progress evaluations and personalized workout plans, and its pricing page describes an assessment that takes less than 4 minutes. QuickPose has measurement primitives but no assessment or plan layer in its repositories. **A bigger free allowance, if the packages page applies.** Sency's pricing packages page lists a free Starter plan for up to 100 monthly active users with full access to the SDK, against QuickPose's free tier of 10 devices. Sency's main pricing page instead describes a free trial followed by a minimal monthly fee covering up to 100 active users, so confirm which applies; [Sency pricing](/pricing/sency-pricing) sets out both. **Billing by person, not device.** Sency counts each active user once a month and says it charges no extra for heavy use. For an audience that trains on several devices, a per-user unit can be simpler than QuickPose's per-device one. **Tooling for AI-assisted development.** Sency's iOS documentation describes an MCP server that gives AI coding tools its SDK documentation and exercise context. ## Which should you pick? - **You want building blocks and full control of the product** → QuickPose. Its counters and measurements slot into your own UI, and the models ship with the app. - **You want assessments, plans or a ready-made UI** → Sency, Branded Kit for speed, Custom Kit if you want to own the screens but keep Sency's analysis. - **You ship Flutter** → Sency, unless you are willing to bridge QuickPose's native SDKs yourself. - **Offline from the very first launch, or pinned model files** → QuickPose, or MediaPipe directly. - **You need a browser target** → neither, from what is public. Sency marks JavaScript "NA", and QuickPose's documentation home mentions Wasm SDKs, but the only QuickPose package we found on npm is its React Native plugin and there is no public web repository. See [MediaPipe alternatives](/alternatives/mediapipe-alternatives) for browser-capable models, and note that KinesteX, which funds this site, embeds its experience in a web page through an iframe; [KinesteX vs Sency](/compare/kinestex-vs-sency) and [KinesteX vs QuickPose](/compare/kinestex-vs-quickpose) cover it with the same disclosure. ## What neither vendor publishes Neither publishes an independent accuracy benchmark, and we have not measured either. Sency's pricing page mentions a record of 54 minutes from installing the SDK to a working assessment in a partner's app, which is a claim about integration speed, not accuracy. Test both on your own recorded exercises before you choose; [how to evaluate motion SDKs](/guides/evaluate-motion-sdks) sets out a protocol. [QuickPose pricing](/pricing/quickpose-pricing) and [Sency pricing](/pricing/sency-pricing) have the full plan tables, including the second page from each vendor that disagrees with its main price list. Everything above was read on October 17 and 18, 2026; both vendors shipped releases in the six weeks before that, so re-check versions, floors and prices before you commit. ## Sources - [github.com/quickpose/quickpose-ios-sdk](https://github.com/quickpose/quickpose-ios-sdk) — description, MediaPipe modules, features, iOS 14.0+, SDK key, Apache-2.0 (checked 2026-10-17) - [github.com/quickpose/quickpose-android-sdk](https://github.com/quickpose/quickpose-android-sdk) — feature table, Android SDK 26, Maven artifacts (checked 2026-10-17) - [www.npmjs.com/package/@quickpose/react-native](https://www.npmjs.com/package/@quickpose/react-native) — 0.7.1 published 2026-08-26, MIT (checked 2026-10-17) - [docs.quickpose.ai/docs/MobileSDK](https://docs.quickpose.ai/docs/MobileSDK) — min API 26, samples API 28 (snapshot) (checked 2026-10-17) - [docs.quickpose.ai/](https://docs.quickpose.ai/) — Wasm SDKs mentioned on the docs home (snapshot) (checked 2026-10-17) - [quickpose.ai/sdk-pricing/](https://quickpose.ai/sdk-pricing/) — plans, device limits, prices, every feature on every plan (snapshot) (checked 2026-10-17) - [quickpose.ai/products/android-sdk/](https://quickpose.ai/products/android-sdk/) — on-device inference (snapshot) (checked 2026-10-17) - [quickpose.ai/terms-and-conditions/](https://quickpose.ai/terms-and-conditions/) — Apache 2.0 licence clause and fees (snapshot) (checked 2026-10-17) - [github.com/sency-ai/smkit-sdk](https://github.com/sency-ai/smkit-sdk) — kits, platform and version tables, features, FAQ, 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, Bitbucket distribution, server-downloaded models, 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, server-downloaded models (checked 2026-10-17) - [github.com/sency-ai/smkit-android-demo](https://github.com/sency-ai/smkit-android-demo) — com.sency Maven artifacts and server-delivered models (checked 2026-10-17) - [www.npmjs.com/package/@sency/react-native-smkit-ui](https://www.npmjs.com/package/@sency/react-native-smkit-ui) — 2.4.3 published 2026-09-23 (checked 2026-10-17) - [pub.dev/packages/flutter_smkit_ui](https://pub.dev/packages/flutter_smkit_ui) — 1.6.0 published 2026-09-23 (checked 2026-10-17) - [www.sency.ai/pricing-packages](https://www.sency.ai/pricing-packages) — Starter and Growth plans, user limits and prices (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, monthly fee, active-user billing, assessment length, integration record (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) ## FAQ ### Is QuickPose or Sency cheaper? QuickPose is far cheaper to start paying for: its SDK pricing page lists plans from $25 a month for up to 100 monthly active devices, while Sency's pricing packages page lists its Growth plan from $499 a month for up to 3,800 monthly active users. Sency's free allowance may be larger, a Starter plan for up to 100 users against QuickPose's 10 devices, but its main pricing page describes those 100 as a paid tier after a free trial. The units also differ, devices against users, so model both on your own numbers. [Permalink](https://aifitnessapi.com/compare/quickpose-vs-sency#faq-1) ### Do QuickPose and Sency run their pose models on the device? Both say the analysis happens on the device. QuickPose bundles MediaPipe libraries in its SDK modules, and its Android page says inference runs on the device and the SDK does not collect, store or transmit video or image data. Sency's FAQ says data is analyzed directly on the user's device and never sent to the cloud, but its iOS and Android documentation says the SDKs download their models and required assets from Sency's server during configuration, with no bundled fallback, and can use a valid cached copy offline afterwards. [Permalink](https://aifitnessapi.com/compare/quickpose-vs-sency#faq-2) ### Does QuickPose or Sency support Flutter? Sency does: its README lists flutter_smkit_ui for the Branded Kit and flutter_smkit for the Custom Kit, both published on pub.dev. QuickPose's public packages cover iOS, Android and a React Native plugin, and we found no Flutter package for it. A Flutter team choosing QuickPose would bridge its native SDKs itself. [Permalink](https://aifitnessapi.com/compare/quickpose-vs-sency#faq-3) ### Which has a ready-made user interface, QuickPose or Sency? Sency, through its Branded Kit, SMKitUI, which its README describes as a white-label deployment where the entire user interface and experience are ready to use. Sency's Custom Kit has no UI at all. QuickPose provides overlays and SwiftUI camera utilities, but the screens, flow and content around them are yours to build. [Permalink](https://aifitnessapi.com/compare/quickpose-vs-sency#faq-4)