Improving nasal therapy outcomes with hyperlocal climate intelligence

A leading respiratory health technology company set out to personalize nasal therapy for users with unpredictable congestion. Traditional approaches treated congestion as seasonal and uniform. In reality, symptoms shifted daily with pollen, pollution, humidity, and weather changes, leaving therapy reactive and inconsistent.

By integrating Ambee’s hyperlocal climate intelligence into its device and companion app, the platform gained real-world environmental context at the user level. Pollen species, air quality, and weather signals were combined with therapy behavior and medication timing to train ML models that learned each user’s congestion profile and adjusted therapy proactively.

Impact delivered

• 2× improvement in congestion symptom control
• Fewer and more predictable congestion episodes
• Up to 50% reduction in reliance on steroids and oral medications
• Automatic therapy adjustment during high-risk environmental conditions
• Clearer airflow and reduced vocal strain for performers

Climate intelligence transformed nasal therapy from reactive relief to preventive, personalized care.

Download the case study to see how environmental data improved outcomes.‍

Read more about building climate-aware health products with Ambee.