Lark Health
Scaleable AI-driven chronic disease management and prevention through conversational coaching.
Clinical-grade digital therapeutics for musculoskeletal and COPD management powered by computer vision.
Kaia Health is a market-leading digital therapeutics platform that leverages advanced computer vision and artificial intelligence to deliver clinically validated treatments for musculoskeletal (MSK) conditions and chronic obstructive pulmonary disease (COPD). The core technical architecture, known as Kaia Gateway, utilizes proprietary Motion Analysis technology to transform a standard smartphone camera into a high-precision medical sensor. By tracking over 20 skeletal points in real-time without the need for wearable sensors, the platform provides immediate feedback on exercise posture and form, ensuring patient safety and adherence. In the 2026 market landscape, Kaia Health positions itself as an enterprise-first solution, integrating directly with health plans and large-scale employer benefits ecosystems. Its AI-driven model effectively scales physical therapy by providing a 24/7 digital coach that complements traditional clinical interventions. The platform's efficacy is supported by multiple randomized controlled trials (RCTs), demonstrating its ability to reduce pain levels and healthcare costs significantly. For organizations, it provides robust population health analytics, identifying high-risk members and automating the triage process between digital self-care and human-led clinical intervention.
Uses pose estimation models to track joint angles and body alignment via a standard 2D camera feed.
Scaleable AI-driven chronic disease management and prevention through conversational coaching.
FDA-cleared digital therapeutics leveraging AI-driven neuro-gaming to treat cognitive dysfunction.
Personalized digital exercise therapy for optimized glycemic control.
Evidence-based digital therapeutics and gamified AI interventions for clinical mental health outcomes.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Algorithmic screening to identify red flags and route patients to appropriate levels of care.
Machine learning loops that adjust exercise difficulty based on user pain scores and perceived exertion.
Supports FHIR standards for data exchange with Epic and Cerner.
Simultaneous tracking of up to 22 skeletal points at 30+ frames per second.
Edge-computing capabilities allowing the AI model to run locally on high-end mobile devices.
Aggregated data visualization using anonymized member health metrics.
Reduces dependency on painkillers and avoids invasive surgery through consistent exercise.
Registry Updated:2/7/2026
Ensures patient follows prescribed recovery protocols at home.
Lowering MSK-related claims and absenteeism in large workforces.