Feelore provides an AI-powered platform that analyzes user-generated content to extract nuanced emotional data and sentiment trends. This service delivers actionable insights for brands seeking to understand audience perception across digital channels. The platform enables precise monitoring of consumer feeling to optimize marketing strategy and product development.
Funding
Funding not disclosed
Founders
Product
Problem
Many individuals face barriers to accessing timely, personalized mental health support due to limited therapist availability, high costs, and stigma associated with in‑person care. Delayed or inconsistent interventions can exacerbate mood dysregulation and reduce overall psychological well‑being.
Solution
Feelore delivers an AI‑driven conversational platform that provides on‑demand mental wellness assistance. Users interact with a natural‑language chatbot that captures mood data in real time and tailors interventions based on evidence‑based cognitive behavioral therapy (CBT) protocols. The system generates adaptive self‑care exercises, guided breathing, and thought‑reframing prompts that evolve with each interaction. All data are encrypted and stored in a HIPAA‑compliant cloud, enabling secure longitudinal tracking of emotional trends. The platform’s analytics engine surfaces personalized insights and progress reports, helping users monitor improvement and adjust strategies without waiting for a clinician appointment.
Target Audience
The primary users are adults seeking self‑managed mental wellness tools, including employees of organizations that provide digital health benefits. Secondary customers include health insurers and corporate wellness programs looking to augment their mental health offerings with scalable AI‑based support.
Features
- Natural‑language processing engine that interprets user sentiment and extracts mood indicators from free‑text input
- Real‑time mood tracking dashboard with visual trend graphs and anomaly alerts
- Structured CBT module offering evidence‑based worksheets, thought‑recording, and exposure exercises adapted to user responses
- AI‑generated self‑care recommendations (e.g., mindfulness, activity prompts) that update based on engagement patterns
- Secure, HIPAA‑aligned data storage with end‑to‑end encryption and user‑controlled consent settings
- Integration hooks for wearable APIs (heart rate, sleep) to enrich contextual mood analysis
- Multilingual support for English, Spanish, and Mandarin to broaden accessibility
- Offline mode that caches interactions and syncs securely when connectivity is restored