Company intelligence
Agen
Agen is an intelligent health ecosystem that connects AI, robotics, and human data for maximum performance and longevity
About Agen
Agen is building an intelligent ecosystem that unites AI, robotics, and human data to optimize health, performance, and longevity. Starting with personalized supplements and a wellbeing app, Agen’s long-term vision is to create a connected network of smart devices, biomarkers, and quantum-enhanced sensors that continuously learn from the body — transforming everyday life into a self-improving health system.
Verified activity
Signals from Agen
11 published signals
Research & Knowledge
Agen published a new article on the Agen journal titled 'what muscle soreness actually measures' in 2026, summarizing a meta-analysis in the European Journal of Pain pooling 18 studies and 452 healthy adults with experimentally induced soreness.
Reported by Agen
Research & Knowledge
Agen published a study showing that morning alertness showed no meaningful heritability across 833 people including 474 twins with individual habits accounting for 57.3% of the variance.
Reported by Agen
Research & Knowledge
Agen published a nationwide Korean survey of 2,355 adults in January 2026 finding that people report grogginess clearing in 15.8 minutes on average.
Reported by Agen
Research & Knowledge
Agen published a Wisconsin Sleep Cohort analysis published this July finding sleep inertia tracked with psychomotor speed and executive switching where standard daytime-sleepiness scales did not.
Reported by Agen
Research & Knowledge
Agen published 2019 Lancet reviews that made fiber famous, built on naturally occurring fiber-rich foods, and noted that US labelling recognises only eight isolated fibers as dietary fiber.
Reported by Agen
Research & Knowledge
Agen published an editorial standard based on research from Pontzer et al., Science 2021, which pooled 6,421 doubly labelled water measurements from 29 countries aged eight days to ninety-five years.
Reported by Agen
Research & Knowledge
Agen published two studies in the JAMA Network Open and the Journal of the American College of Cardiology in 2026, showing that waist circumference alone performed nearly as well as a four-measurement framework when tested against DXA and that BMI alone had a sensitivity of around 51%
Reported by Agen
Research & Knowledge
Agen published a study in the Journal of the American College of Cardiology in 2026, pooling over 260,000 adults followed for an average of twenty years to assess the association between high waist or waist-to-hip ratio and cardiovascular outcomes
Reported by Agen
Research & Knowledge
Agen published research showing that the lowering half is a real stimulus and the body is strongest there, but the advantage is specific rather than general.
Reported by Agen
Research & Knowledge
Agen published research showing that one 3-second maximal eccentric contraction a day, 5 days a week for 4 weeks, raised elbow-flexor torque by 10-13% in untrained adults.
Reported by Agen
Research & Knowledge
Agen published research showing that half of every repetition is spent lowering the weight, with eccentric training evidence supporting a 3-second maximal contraction a day, 5 days a week for 4 weeks, raising elbow-flexor torque by 10-13% in untrained adults.
Reported by Agen