Jetty is a mobile health app that lets users log chronic symptoms and lifestyle factors through voice or text conversations instead of manual entry. The platform uses AI to transform these natural language inputs into structured logs and personalized insights, helping users identify patterns and potential triggers. Jetty monetizes via a subscription model, offering premium features such as advanced analytics and doctor‑shareable reports to support ongoing symptom management.
Funding
Funding not disclosed
Founders
Product
Problem
People with chronic symptoms often rely on manual note‑taking or rigid symptom‑tracking apps, which require repetitive tapping and structured entry formats. This leads to incomplete data capture, difficulty recalling symptom patterns, and limited insight for both users and their healthcare providers.
Solution
Jetty delivers a mobile health platform that captures symptom and lifestyle information through natural language conversations, accepting both voice and text inputs. Advanced natural‑language processing (NLP) parses these inputs into structured health logs, automatically tagging symptoms, triggers, sleep, diet, stress, and medication events. Machine‑learning models continuously analyze the longitudinal data to surface trends, correlations, and potential triggers, presenting them as concise visual summaries. Users can export doctor‑ready reports that integrate with electronic health record (EHR) systems or share directly with clinicians. The service operates on a subscription basis, offering tiered access to premium analytics and secure medical‑record integration.
Target Audience
The primary users are individuals managing chronic conditions—such as diabetes, autoimmune disorders, or fatigue syndromes—and health coaches or clinicians who need reliable patient‑reported outcomes for monitoring and care planning.
Features
- Conversational check‑ins via voice or typed entry, powered by on‑device speech‑to‑text and NLP pipelines
- Automatic extraction and categorization of symptoms, activities, and contextual factors into a searchable health timeline
- AI‑driven trend detection with weekly and monthly visual dashboards highlighting pattern shifts and trigger hypotheses
- Exportable clinician summaries (PDF/HL7‑FHIR compatible) for seamless inclusion in patient visits or EHR workflows
- End‑to‑end encryption and HIPAA‑compliant cloud storage ensuring data privacy and auditability
- Subscription tiers providing basic logging, advanced predictive insights, and integration with third‑party health apps