The problem AllergyAtlas solves is the unpredictable nature of allergies that may be triggered by various environmental factors, including pollen, dust, certain foods, or pets. Many of these allergies can prove to be fatal if not managed properly. Additionally, people do not always have the necessary information about the nature and cause of their allergies, which makes management quite tricky.

The business model for AllergyAtlas would be a subscription-based service. Users would subscribe to the service for a monthly or annual fee and in return, they would receive personalized, real-time information on potential allergy triggers in their environment. This would include weather forecasts, pollen count, air quality, potential allergens in foods, and more. We will use AI and machine learning algorithms to analyze user’s medical reports, environment, and daily habits to provide personalized reports and alerts.

To reach the target customers, we would advertise AllergyAtlas on social media platforms, via Google Adwords, and form partnerships with allergy clinics and specialists. This would help get the word out to the people who would most benefit from our service - those who suffer from allergies. We could also potentially work with schools and companies to implement our service as part of their healthcare initiatives. Our main selling point would be the real-time, personalized information about potential allergens, and recommendations on how to avoid them for better management of allergies.