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Measure how eating changes, not just what people eat.

Kairoa is building a wearable sensing platform that turns real-world eating into continuous, objective measures for metabolic research and obesity drug development.

Capture meal timing, food context, chewing pace, pauses, meal duration and frequency, and within-meal slowing down, without relying on manual food logs or continuous user input.

Inquire about the prototype See what we measure

The Measurement Gap

Traditional Assessment

  • Ad Libitum eating Clinic snapshot, disconnected from daily life.
  • Retrospective food logs Subjective, burdensome, and under-reported.
  • Body weight changes Downstream multifactorial outcome measured weeks after behavior has shifted.

Kairoa

  • Continuous eating phenotype Meal timing, food context, pace, duration, frequency, and within-meal dynamics.
  • Longitudinal eating behavior Everyday eating environment, meal by meal.
  • Passive, objective measurement No patient input required during eating.
  • Behavioral changes as they emerge Time-resolved evidence linked to dose and treatment stage.
Participant wearing Kairoa technology integrated into glasses in a clinical environment

Passive sensing of eating in the real world

Kairoa combines multi-modal physiological inputs to identify eating episodes and quantify meal dynamics continuously.

We extract precise eating topography capturing the exact structure of meals in free-living environments. Optional contextual sensing adds information about food and intake while reducing dependence on manual logging

The Complete Measurement Chain

Kairoa converts continuous physiological signals into the behavioral evidence that helps drug-development teams understand treatment response.

1. Signals

Raw Biosignals

Passive, continuous capture of the movements that make up everyday eating.

  • Activity
  • Physiology
2. Eating Events

Eating Detection

Algorithms identify eating behavior while actively rejecting non-eating movement.

  • Meals
  • Chews
  • Pauses
3. Meal Phenotype

Behavioral Output

Episodes become interpretable measures for each meal and over time.

  • Timing
  • Duration
  • Pace
  • Pauses
  • Frequency
  • Within-meal slowing
  • Food context/estimated intake
4. Treatment Response

Research Impact

A behavioral measurement capability built to answer the questions that move a program forward.

  • Onset
  • Dose response
  • Treatment heterogeneity
  • Maintenance & discontinuation

From raw signal to interpretable measure

Kairoa transforms episodic clinical snapshots into continuous behavioral trajectories, providing high-resolution visibility into how treatment (such as drug interventions) alter eating patterns and intake over time.

Longitudinal data chart showing eating rate changes post-treatment
Illustrative research output representing cohort longitudinal behavior

Building and validating novel digital measures

Technical Validity

Robust measurement of eating behavior across diverse participants, foods, and real-world motion. Validated against video ground-truth.

Scientific Meaning

Establishing repeatable, interpretable behavioral measures that are sensitive to defined treatment contexts and/or GLP-1 dose changes.

Clinical Translation

Executing sponsor-ready feasibility protocols and multi-day free-living pilots to unlock research answers for metabolic research and obesity drug development.

Team

An interdisciplinary team with experience across deep tech, healthcare, and wearable systems.

Explore the Kairoa prototype

Tell us about your metabolic health study. Kairoa's research-grade prototype is available for studies of weight gain, weight loss, and eating behavior.

Inquiry Received

Thank you. Our team will reach out shortly to discuss your study and prototype access.