LUMMÉ utilizes a patented behavior-change technology platform that transforms smartwatches into predictive AI assistants, passively tracking hand motions to automate calorie counting and smoking cessation efforts. By leveraging machine learning and clinically validated behavioral psychology, LUMMÉ provides real-time insights and interventions to enhance self-awareness and improve success rates in managing weight and quitting smoking.
Funding
$600K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Traditional methods of calorie tracking and smoking cessation often rely on manual logging or scheduled interventions, which can be burdensome and ineffective due to a lack of real-time, personalized support. Individuals struggle to maintain consistency and self-awareness of their habits, leading to limited success in achieving weight management or smoking cessation goals.
Solution
LUMMÉ offers a behavior-change technology platform that transforms smartwatches into AI-powered assistants, passively monitoring hand motions to predict and intervene in unhealthy behaviors related to eating and smoking. By leveraging machine learning, the platform automates calorie counting and identifies smoking triggers, providing real-time insights and personalized suggestions to improve self-awareness and consistency. The system detects patterns and predicts triggers that lead to unhealthy behaviors, delivering evidence-based suggestions at the precise time to avert those behaviors. This approach aims to enhance the user's ability to break negative patterns and achieve lasting success in weight loss or smoking cessation.
Target Audience
The primary target audience includes individuals seeking assistance with weight management and those trying to quit smoking, particularly those who use smartwatches and prefer passive, AI-driven support.
Features
- Automated calorie tracking via hand motion analysis on Apple Watch.
- AI-powered prediction of unhealthy eating and smoking behaviors.
- Real-time, personalized interventions delivered via smartwatch notifications.
- Clinically validated behavior-change techniques integrated into the platform.
- Pattern recognition to identify triggers and weaknesses related to targeted behaviors.
- Compatibility with WearOS by Google smartwatches for smoking cessation support.