Proprietary inference engine
Built from scratch in C for maximum performance, portability and control.
Because we own the runtime, we control optimisation, hardware support and the roadmap. You're not dependent on third-party SDKs or vendor priorities.
Movement verification
Most platforms can track movement. PoseFlow can verify it.
Create auditable proof that a movement happened correctly using pose confidence, joint travel, tempo and stability metrics. Unlocks use cases including insurance incentives, rehabilitation compliance and verified fitness challenges.
Privacy by design
No video leaves the device.
All analysis runs locally, enabling privacy-first deployments that align with enterprise security requirements, GDPR and healthcare compliance frameworks. No cloud processing. No video storage. No additional engineering.
12–24 months saved
Skip the research phase.
PoseFlow is already deployed in production environments, delivering proven movement tracking, scoring and verification from day one. Launch with a mature platform rather than building and validating your own.
Six platforms. One integration.
Deploy across iOS, Android, Web, Smart TV, Set-Top Box and WearOS from a single codebase.
No fragmented platform strategy. No duplicated engineering effort. Native support for Smart TVs and set-top boxes included.
Configurable, not hard-coded
Expand your movement library without engineering support.
New exercises, assessments and movement protocols are created through configuration rather than development, allowing coaches, clinicians and product teams to move faster.
Proven at scale
Millions of verified movements processed in production environments.
Built for commercial deployment, not demonstration environments.