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Measures

Measures provides a platform that links daily nutrition and lifestyle inputs to real-time biomarker data, allowing users to see how meals and habits affect glucose stability, lipid profiles, inflammation, and biological age. By integrating lab results, wearable metrics, and personalized nutrition advice—such as a superfood oatmeal recommendation tailored to elevated HbA1c and LDL—users can make precise adjustments and track progress toward long‑term health goals.

San Francisco, United StatesFounded 2025650+ followers
Updated 1 month ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Product

Problem

Individuals often lack real-time feedback linking their daily nutrition and lifestyle choices to measurable health outcomes, making it difficult to understand how food impacts biomarkers such as glucose stability, lipid profiles, inflammation, and biological age.

Solution

Measures offers a platform that aggregates lab results, wearable data, and meal logs to construct a dynamic metabolic model for each user. The system visualizes how specific foods and habits influence key biomarkers, highlighting patterns and suggesting targeted dietary adjustments. Users receive structured follow‑up testing and trajectory indicators that track progress toward personalized health goals. Integrated analytics provide insights into glucose patterns, lipid responses, inflammation markers, and longevity signals, enabling proactive management of long‑term health risk.

Target Audience

Primary users are health‑conscious individuals seeking data‑driven guidance to optimize their metabolic and cardiometabolic health.

Features

  • Integration of lab biomarker data, continuous glucose monitoring, and wearable metrics into a unified health dashboard
  • Nutrition‑to‑outcome reporting that maps meals to changes in glucose stability, lipid levels, inflammation markers, and biological age
  • Personalized dietary recommendations and supplement scheduling based on biomarker targets
  • Longitudinal trajectory insights with structured follow‑up testing and momentum indicators
  • CGM analytics and metabolic pattern recognition for insulin sensitivity monitoring
  • Wearable context interpretation to incorporate heart rate, steps, and other lifestyle signals
This profile is AI-generated and may contain inaccuracies.