CurvLabs: The Smart KT Tape Wearable That Tracks Spinal Movement Between Doctor Visits

CurvLabs is a London-based startup (founded 2022) that builds a wearable spinal sensor called Curv. The device is a thin, reusable sensor strip that slips into medical-grade kinesiology tape applied along the spine. It records full-day spinal movement data — range of motion, velocity, and which sections of the spine are moving freely versus staying stiff — and syncs the data via Bluetooth to a smartphone app . The sensor strip is designed to be worn under clothing for 30 seconds of application and lasts all day, priced at $249 with no subscription fee .

Why CurvLabs Exists: The Founder's Story

Founder Rohan Kotecha, a biomedical engineer, suffered from chronic back pain since his teens. Years of doctor appointments, scans, and physiotherapy failed to give him a clear answer about what was actually causing his pain . That frustration became the founding insight:

"So, in true engineering fashion, I started to build. I built a wearable to track my spinal movement, and have implemented my very own CFT bot to assess my pain psychology."

Kotecha recognised a fundamental gap: the clinical system has no way to see what happens to a patient's spine between appointments. A short clinic visit captures only a few minutes of observed posture, not real-world movement during work, sleep, exercise, or daily life .

The Clinical Gap That Curv Fills

The core problem Curv addresses is that back-pain assessment today relies on subjective self-report and brief episodic observation. A 2025 review in Wearable Sensor Technologies for Individuals with Back Pain confirms that continuous wearable monitoring can capture clinically meaningful movement patterns that episodic assessments miss . Academic work on fabric-based strain sensors — including graphene nanocomposite sensors deposited onto kinesiology tape — has validated that these materials can reliably measure lumbar motion in uncontrolled, real-world settings .

Curv's approach aligns with a growing evidence base: movement is a biomarker of back pain. The device tracks whether the spine is improving over days and weeks, giving both patients and clinicians objective data instead of guesswork .

From Reddit to Real Users

CurvLabs' first customers did not come from a clinical trial or a product launch. Kotecha started sharing the project on Reddit's r/backpain community — people who shared his frustration with the standard care pathway . He told Tech.eu:

"They've been incredibly valuable because we're building the product alongside them. They tell us what's useful in daily life, not what looks good in a demo."

Early users skewed younger than expected — mostly under 40 and predominantly desk workers — a demographic that is often underserved by traditional back-pain care. Their feedback directly shaped which metrics the app surfaces and how insights are presented . The company iterated closely with these early customers, even hand-delivering the first units in the UK .

$450,000 Pre-Seed Funding

CurvLabs raised $450,000 in pre-seed funding (announced July 31, 2026) to develop Curv and bring it to market. The company has not disclosed its valuation or specific investors, but the round is funding UK manufacturing, further product iteration, and early go-to-market efforts .

The Long-Term Vision: AI-Supported Primary Care

Kotecha frames CurvLabs as building the hardware sensing layer for personalised medicine — starting with the spine, but designed to expand into a broader ecosystem of unobtrusive body-monitoring sensors . The long-term plan includes three pillars:

• AI-driven analysis that turns raw movement data into personalised care plans, combining spinal movement data with pain psychology assessment (Kotecha already built a "CFT bot" for his own use) .
• Primary care integration — getting Curv's data into clinical workflows so GPs and physiotherapists can base treatment decisions on continuous evidence rather than subjective self-report .
• A multi-sensor platform — the vision is a suite of low-profile, wearable sensors that track different body systems unobtrusively, feeding into an AI layer that supports preventative and personalised primary care at scale .

This vision aligns with the broader trajectory of the field: recent reviews confirm that AI-powered wearable sensors are moving toward real-time diagnostics, tailored interventions, and proactive disease management across multiple physiological domains .