Cardiopulmonary care,
modeled

Cardiopulmonary care,
modeled

Cardiopulmonary care,
modeled

Benchmarked against published comparators and clinically-accepted gold standards.

Ourmodelsanalyzereal-worldsignals,fromphysiologytobehavior,todeliverpersonalizedrecommendationsforpatientsandreal-timeinsightsforclinicians.

Ourmodelsanalyzereal-worldsignals,fromphysiologytobehavior,todeliverpersonalizedrecommendationsforpatientsandreal-timeinsightsforclinicians.

KAI plus 9 proprietary models.

KAI plus 9 proprietary models.

2 validated

7 in active validation

Flag Clinical Risks

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.

Tasks & content
Patient Personalization
Alerts & Insights
Clinician Intelligence
Drafts & Updates
Care Plan Automation
Signal Routing
Model Orchestration

Live across active cardiopulmonary deployments
Validated2 models

KENTO | BREATHE

Validated

Ventilatory threshold detection (VT1, VT2). Parameter-free deterministic mathematical detector.

r = 0.955
n = 1,079
VT2 correlation with gold-standard CPET
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 = 0.78
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.

AUROC > 0.94
Overall, across 37 abnormalities

KENTO | Predict Arrhythmia

In Validation

Ventricular arrhythmia, atrial fibrillation, atrial flutter, supraventricular arrhythmias.

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

See how Kento models support real patients.

See how Kento models support real patients.

See how Kento models support real patients.

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.

Tasks & content
Patient Personalization
Alerts & Insights
Clinician Intelligence
Drafts & Updates
Care Plan Automation
Signal Routing
Model Orchestration

Live across active cardiopulmonary deployments
Validated2 models

KENTO | BREATHE

Validated

Ventilatory threshold detection (VT1, VT2). Parameter-free deterministic mathematical detector.

r = 0.955
n = 1,079
VT2 correlation with gold-standard CPET
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 = 0.78
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.

AUROC > 0.94
Overall, across 37 abnormalities

KENTO | Predict Arrhythmia

In Validation

Ventricular arrhythmia, atrial fibrillation, atrial flutter, supraventricular arrhythmias.

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.

Tasks & content
Patient Personalization
Alerts & Insights
Clinician Intelligence
Drafts & Updates
Care Plan Automation
Signal Routing
Model Orchestration

Live across active cardiopulmonary deployments
Validated2 models

KENTO | BREATHE

Validated

Ventilatory threshold detection (VT1, VT2). Parameter-free deterministic mathematical detector.

r = 0.955
n = 1,079
VT2 correlation with gold-standard CPET
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 = 0.78
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.

AUROC > 0.94
Overall, across 37 abnormalities

KENTO | Predict Arrhythmia

In Validation

Ventricular arrhythmia, atrial fibrillation, atrial flutter, supraventricular arrhythmias.

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