Pulse

AI care for cardiometabolic health

the challenge

the model

          Always-on care delivery

          Adaptive clinical model

          Connected intelligence

          Unified AI Care

          outcome-based pricing

          • 2.5:1

          • 91%

          • 69%

          Footnotes

          1

          Ostchega Y, Fryar CD, Nwankwo T, Nguyen DT. Hypertension Prevalence, Awareness, Treatment, and Control Among Adults Aged 18 and Over: United States, August 2021–August 2023. NCHS Data Brief No. 511. Hyattsville, MD: National Center for Health Statistics; October 2024.

          2

          Martin SS, Aday AW, Almarzooq ZI, et al. 2025 Heart Disease and Stroke Statistics: A Report From the American Heart Association. Circulation. 2025;151(8):e535–e789.

          3

          Based on a health economic analysis of 1.57M lives with commercial claims data

          4

          Based on Move data. Percent of members who scored 5 or above on the PGIC scale from all those who answered a reassessment, +9 DWA

          5

          Based on Move data Over 500 MET-minutes per week, self-reported sitting time at the latest reassessment on or after 5 weeks into the program

          6

          Based on Move data. Percent of members who scored 5 or above on the PGIC scale from all those who answered a reassessment, +9 DWA

          7

          Conte C et al. Is Weight Loss-Induced Muscle Mass Loss Clinically Relevant? JAMA. 2024 Jul 2;332(1):9-10. doi: 10.1001/jama.2024.6586

          Portugal 2020Norte 2020European UnionPlano de Recuperação e ResiliênciaRepública PortuguesaNext Generation EU