Reconciles wearable streams, device readings and patient-reported signals into a clinician-ready summary
↳ Decompensation signature · 4-signal convergence
Escalate
Readable data
Reconciles wearable streams, device readings and patient-reported signals into a clinician-ready summary
↳ HR trend ↓ 8 bpm · activity ↑
Stable
Transparent Clinical Suggestions
Care-plan drafts with the signals and reasoning made visible, grounded in the latest guidelines.
Clinic visit ≤ 48h. Multi-signal pattern, weight still stable.
Approve
Transparent Clinical Suggestions
Care-plan drafts with the signals and reasoning made visible, grounded in the latest guidelines.
Clinic visit ≤ 48h. Multi-signal pattern, weight still stable.
Approve
The portfolio
KAI orchestrates a portfolio of proprietary models running today on Kento's devices. Performance numbers reference internal validation against published comparators and clinically-accepted benchmarks.
Deployed1 model
KAI
Deployed
The clinical orchestrator and personalization agent across the model portfolio.
Outperforms Zignoli (2020) and tracheal-sound methods
Kento
KENTO | QRS
Validated
Proprietary R-peak detector. The foundation under everything else in the platform.
Performance measured in progress (initial benchmark outperforms state-of-the-art) for a 2 leads or less ecg
Kento
In ValidationPredict family
KENTO | Predict
In Validation
A family of longitudinal prediction models trained on Kento's proprietary multi-source ECG-outcome corpus. Each model targets a distinct clinical decision.
KENTO | BCG
In Validation
Beat-to-beat cardiac mechanics from ballistocardiography fused with ECG, respiration, and motion. No echo, no cuff.
AUC validation in progress
Heart failure decompensation prediction
Extending Aydemir, Shandhi, Inan et al., IEEE TBME 2020
KENTO | Predict Cardiac Age
In Validation
Biological cardiac age from continuous ECG.
State-of-the-art MAE
On par with full 12-lead ECG-derived cardiac age
KENTO | Predict Vascular Age
In Validation
Vascular biological age from integrated sensor analysis.
AUROC in validation
KENTO | Predict Abnormalities
In Validation
Multi-class classifier across 37 ECG abnormalities.
KAI orchestrates a portfolio of proprietary models running today on Kento's devices. Performance numbers reference internal validation against published comparators and clinically-accepted benchmarks.
Deployed1 model
KAI
Deployed
The clinical orchestrator and personalization agent across the model portfolio.
Outperforms Zignoli (2020) and tracheal-sound methods
Kento
KENTO | QRS
Validated
Proprietary R-peak detector. The foundation under everything else in the platform.
Performance measured in progress (initial benchmark outperforms state-of-the-art) for a 2 leads or less ecg
Kento
In ValidationPredict family
KENTO | Predict
In Validation
A family of longitudinal prediction models trained on Kento's proprietary multi-source ECG-outcome corpus. Each model targets a distinct clinical decision.
KENTO | BCG
In Validation
Beat-to-beat cardiac mechanics from ballistocardiography fused with ECG, respiration, and motion. No echo, no cuff.
AUC validation in progress
Heart failure decompensation prediction
Extending Aydemir, Shandhi, Inan et al., IEEE TBME 2020
KENTO | Predict Cardiac Age
In Validation
Biological cardiac age from continuous ECG.
State-of-the-art MAE
On par with full 12-lead ECG-derived cardiac age
KENTO | Predict Vascular Age
In Validation
Vascular biological age from integrated sensor analysis.
the sensitivity at 95% specificity or above is >90%
KENTO | Predict Abnormalities
In Validation
Multi-class classifier across 37 ECG abnormalities.
Predicts optimal treatment trajectories for personalized care planning
KENTO | Predict Pathway
In Validation
Predicts which cardiopulmonary program transitions yield best outcomes, and identifies in-program behaviors that accelerate clinical improvement.
Predicts optimal treatment trajectories for personalized care planning
KENTO | Predict Lead12
In Validation
Full 12-lead ECG reconstructed for clinical-grade diagnostic use. Usable at home or in clinic.
r > 0.957
Precordial leads V1-V6 reconstruction accuracy
α Research4 active threads
Pulmonary artery pressure
α Research
Non-invasive estimation
α
Aortic valve health
α Research
S2/S1 balance analysis
α
Pressure-Volume loop estimation
α Research
α
No cuff blood pressure
α Research
<5 mmHg accuracy
α
The portfolio
KAI orchestrates a portfolio of proprietary models running today on Kento's devices. Performance numbers reference internal validation against published comparators and clinically-accepted benchmarks.
Deployed1 model
KAI
Deployed
The clinical orchestrator and personalization agent across the model portfolio.
Outperforms Zignoli (2020) and tracheal-sound methods
Kento
KENTO | QRS
Validated
Proprietary R-peak detector. The foundation under everything else in the platform.
Performance measured in progress (initial benchmark outperforms state-of-the-art) for a 2 leads or less ecg
Kento
In ValidationPredict family
KENTO | Predict
In Validation
A family of longitudinal prediction models trained on Kento's proprietary multi-source ECG-outcome corpus. Each model targets a distinct clinical decision.
KENTO | BCG
In Validation
Beat-to-beat cardiac mechanics from ballistocardiography fused with ECG, respiration, and motion. No echo, no cuff.
AUC validation in progress
Heart failure decompensation prediction
Extending Aydemir, Shandhi, Inan et al., IEEE TBME 2020
KENTO | Predict Cardiac Age
In Validation
Biological cardiac age from continuous ECG.
State-of-the-art MAE
On par with full 12-lead ECG-derived cardiac age
KENTO | Predict Vascular Age
In Validation
Vascular biological age from integrated sensor analysis.
the sensitivity at 95% specificity or above is >90%
KENTO | Predict Abnormalities
In Validation
Multi-class classifier across 37 ECG abnormalities.