Aeson is a one‑tap mobile companion that delivers immediate panic‑relief support, guiding users through paced breathing, grounding cues, and a steady voice without requiring any interaction. After each episode, the app privately aggregates contextual data—such as triggers, health metrics, and timing—to build a personalized picture of what helps the user manage panic over time. This continuous, data‑driven insight helps individuals identify patterns and refine coping strategies.
Funding
Funding not disclosed
Founders
Product
Problem
Panic attacks can occur suddenly, leaving individuals unable to think clearly enough to navigate complex coping tools or seek help, which can prolong distress and hinder recovery.
Solution
Aeson offers a one‑tap, hands‑free companion that activates instantly during a panic episode, delivering paced breathing, grounding cues, and a steady voice without requiring any user input. After the episode, the app aggregates personal trigger information and health metrics such as sleep, heart rate, HRV, and steps to create a private, data‑driven summary of what factors contributed to and alleviated each attack. Over time, users can view patterns and identify the most effective coping strategies, enabling more proactive management of future episodes. The platform emphasizes privacy by design, ensuring that all collected data remains encrypted and accessible only to the user.
Target Audience
Primary users are individuals who experience panic attacks and seek an immediate, unobtrusive tool for acute relief and long‑term insight into their episodes.
Features
- Single‑tap activation that immediately starts guided breathing, grounding prompts, and a calming voice
- Continuous, hands‑free support that remains available until the user feels stable
- Automatic logging of episode context (time, location, situation) and integration with existing health data sources (sleep, heart rate, HRV, steps)
- Private, on‑device analytics that generate personalized reports of triggers, physiological signals, and effective coping actions
- Trend visualization over weeks to reveal individual patterns and improve future self‑management
- End‑to‑end encryption and privacy‑by‑design architecture ensuring user data is never shared externally