Jvala provides a mobile app for chronic disease patients to log flare events in real time, automatically adding contextual data like environmental factors. An AI engine analyzes these structured records to identify patterns, predict future flares, and generate personalized management recommendations, which can be exported as clinical-grade reports for physicians.
Funding
Funding not disclosed
Founders
Product
Problem
Patients with chronic conditions experience frequent flare-ups, but existing healthcare records capture only diagnoses, medications, and lab results, missing real-time symptom patterns, environmental context, and trigger information. This lack of structured, timely data makes it difficult for doctors to identify flare triggers, assess treatment effectiveness, and make proactive care decisions.
Solution
Jvala offers a mobile application that lets patients log flare events instantly, recording severity, duration, type, location, and medication use through a fast, user-friendly interface. The app automatically enriches each entry with contextual data such as environmental factors, creating a structured clinical event record. Collected data are processed by an AI engine that identifies patterns, forecasts future flares, and generates personalized management recommendations. The platform produces on-demand clinical-grade reports that summarize longitudinal trends and insights, which patients can share with their physicians to support evidence‑based treatment adjustments.
Target Audience
Jvala is designed for individuals managing chronic diseases such as asthma, eczema, inflammatory bowel disease, and similar conditions, as well as their physicians and care teams who require detailed, real‑time symptom data to guide treatment.
Features
- One‑tap flare logging with fields for severity, duration, type, location, and medication intake
- Automatic capture of contextual information (e.g., environmental data) to supplement patient entries
- AI‑driven analysis that detects symptom patterns, predicts upcoming flares, and suggests personalized actions
- Interactive visualizations including timelines, symptom distribution charts, and severity breakdowns
- Exportable clinical summaries and reports formatted for easy review by healthcare providers
- Secure data storage and encrypted transmission to protect patient privacy