Your wearable tracks your body. Your voice carries your story.
For the first time, both are understood — together.
A continuous monitoring platform that detects early physiological change by combining voice and vital signs over time.
Across conditions. Across care settings.
Most clinical deterioration doesn't begin with a diagnosis.
It begins with subtle shifts:
Akouō continuously analyzes these signals — helping clinicians recognize change earlier, across conditions.
From early infection → to chronic instability → to post-discharge decline
Akouō surfaces the same thing: change from baseline.
Initially focused on early detection of clinical deterioration in high-risk patients — including CHF, COPD, and post-acute care settings.
The underlying models have demonstrated strong performance in early clinical studies — identifying patterns of physiological change associated with acute deterioration.
Tested across emergency and acute care environments, with ongoing validation across chronic and longitudinal care settings.
Early clinical evaluation demonstrated high sensitivity (98%) for identifying patients with confirmed sepsis — validating the model's ability to detect early physiological change.
Most changes in health begin quietly — in how you feel, how you speak, and how your body responds over time.
These signals exist. They've always existed. They've just never been connected.
A first-of-its-kind approach to understanding early change — built for real-world care.
Insights by Akouō Health™ is a passive, always-on monitoring system that ingests data from devices patients already own, fuses it with acoustic and linguistic signal analysis through the OpenDx™ Core Engine, and delivers structured clinical summaries — designed for 30-second interpretation at the point of care.
This is not a consumer wellness app. It's a continuous monitoring platform built for clinical practices and care teams that need early signals — without adding manual data review to their workflow.
The OpenDx™ Core Engine continuously ingests multimodal patient data, applies AI-driven fusion and pattern detection, and delivers structured clinical summaries through the Insights dashboard.
Detects early physiologic changes — such as rising respiratory rate, subtle vocal fatigue, and reduced lexical coherence — before traditional thresholds are crossed.
Akouō Health sits at the intersection of remote patient monitoring and clinical decision support — surfacing signal where it matters most, without adding workflow burden.
Reviewed during routine check-ins, between visits, or triggered by early signal changes.
Patients deteriorate between visits. Current tools don't connect the dots.
Traditional remote monitoring captures single signals in isolation. No existing system combines vocal health data with physiological wearable data and metabolic monitoring — leaving a vast, unexplored signal space invisible to clinicians. Enables earlier intervention without increasing clinician workload.
Akouō Health™ is grounded in established research across physiology, speech analysis, and early clinical deterioration.
Its underlying models have been evaluated in real-world hospital environments, demonstrating strong performance in identifying patients with confirmed sepsis during early-stage assessment.
Early clinical evaluation demonstrated high sensitivity (98%) for identifying patients with confirmed sepsis — validating the model's ability to detect early physiological change.
Now onboarding early clinicians, partners, and patients.