A Personal Health Operating System that listens and actually understands your heart and voice.
THE VISION
Always personal. Always under your control.
A science-trained, privacy-first intelligence system designed to understand personal health over time and deliver real-time, personalized guidance across devices and environments..
Our vision is to empower a billion people to live healthier lives, powered by AI and grounded in science. Lifefire OS aims to become a truly multimodal health platform, fusing decades of expertise in psychology, physiology and AI to deliver personalized, real-time guidance for health and well-being.
PRODUCT
Your Heart
Deep, HRV-based insights grounded in advanced physiology, designed to reveal how your body responds, recovers and adapts over time, with greater richness and precision than traditional health platforms.
Your Voice
State-of-the-art voice-based emotion and stress recognition. Drawing on validated multimodal models, Lifefire is designed to capture subtle signals in how you speak and understanding mood, stress and emotional state naturally and in real time.
Your Future
Built on neuroadaptive AI, reinforcement learning and personalized language models, Lifefire evolves with you. It turns understanding into action, supporting better decisions, healthier patterns, and long-term well-being. All built on rigorous science, using the latest technology, with your data remaining fully in your control.
Learns, adapts & evolves
KEY BENEFITS
Sense. Understand. Support.
A health system that listens to your body, understands your state, and supports you - moment by moment. Built on decades of HRV science and emotion-aware AI, Lifefire turns real signals into guidance that fits real life.
Senses
We listen to real signals. From your body, your behavior, and your environment. HRV. Movement. Voice. Context. Together, they show how you handle stress, recovery, and daily demands.
Understands
Signals mean nothing without context. Lifefire reads them over time-not against generic norms. So you know where you are, what’s changing, and why it matters.
Supports
Support that adapts to you. Lifefire responds to your state with timely, thoughtful guidance helping you make better daily choices and build healthier patterns. Your data stays yours. Always.
TECH & SERVICES
The Lifefire Concept
Lifefire AI Web/App
Lifefire AI envisions personalized health guidance for individuals alongside advanced analytics for certified HRV professionals, pairing a consumer app for self-regulation and recovery with professional tools designed to deliver real-time insights into physical and emotional health
Lifefire AI API/SDK
The Lifefire vision includes a cloud-based API and on-device SDK, designed to bring advanced HRV analytics, emotional voice insights and AI-driven recommendations into third-party solutions; modular, scalable and built for professional use.
Insight Lab
Insight Lab represents the research dimension of the Lifefire vision; scientific reporting, neuroadaptive UX design and multimodal data validation, alongside HRV training and education drawing on established academic expertise in HRV science
ABOUT
The Vision Behind Lifefire
Lifefire is a shared vision for the future of personal health. Bringing together Heart Rate Variability ("HRV") science and state-of-the-art neuroadaptive Voice AI.
The vision explores how the body's signals (HRV) and the mind's signals (voice-based emotional intelligence) can come together in a science-backed, multimodal wellbeing engine, designed for real-time, on-device deployment.
HRV system, developed using over 1.8 million hours of ECG data and 20+ years of HRV algorithm research, delivers accurate, reliable physiological insights.
Autonom Health’s HRV analytics are trusted by academic institutions and licensed professionals, backed by decades of peer-reviewed research.
Identifies emotional states (stress, mood, cognitive load) through real-time voice analysis, on-device and privacy-first, enabling closed-loop adaptation in digital experiences.
Maaind provides scientific validation services and in-field R&D to validate models in real-world environments.
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