(Striiv Fusion device. Source: Striiv.)
Striiv (Redwood City, Calif.) and LifeQ (Alpharetta, Ga.) have announced a partnership to jointly develop a wearable-based personalized health information platform. The partnership combines Striiv’s expertise in sensor integration and hardware design and LifeQ’s on-device and cloud based analytics and modeling to deliver a suite of health information streams. The solution aims at what the vendors identify as the two major barriers to a scaled health information platform: lack of biometric information of adequate quality, and up-front technology and program costs.
Striiv’s devices are used in programs run by top tier insurers and other companies. The company’s partnership with LifeQ will enable it to deliver wearable devices that extract maximum relevant physiological data, with minimum friction for the user, at previously unavailable unit economics, thereby redefining the standards for performance, utility and cost, a joint statement asserts.
Richer Health Information Ecosystem
The joint offering will enable a richer health information ecosystem, combining the expertise of relevant companies linking to the LifeQ Platform, to provide end-to-end solutions that can be scaled across insurance, wellness and pharmaceutical industries, the vendors say.
“Striiv is the first wearable company we’ve met where our skills and vision are so complementary and aligned,” comments Riaan Conradie, president and co-founder LifeQ. “Striiv’s device and sensor know-how will further enable the LifeQ platform to accelerate the rollout of personalized health information, and we are incredibly excited at the potential for this partnership.”
LifeQ’s deep expertise and scale in systems biology driven analytics and modeling are ideally suited to provide critical insights for risk stratification and early intervention with Striiv’s catalogue of data capture platforms, according to David Wang, founder and CEO, Striiv. “We’re delighted to team up with LifeQ to accelerate the adoption biometric and behavioral data in driving better outcomes and at scale,” he says.