A Tretek innovation

Vascora

Detect risk before it becomes an event.

AI cardiovascular prevention for global healthcare providers

Vascora is an early-warning layer for clinics and cardiology teams. It watches home signals, compares them with each patient’s own baseline, and sends prioritized context before deterioration becomes an emergency.

Request a demo See the solution

Remote monitoring
AI risk scoring
Clinical workflow

The gap in care

Cardiovascular disease is still found too late

Episodic checkups miss slow deterioration at home: rising blood pressure, abnormal night-time patterns, elevated resting heart rate, and declining recovery.

19.8M CVD deaths in 2022

85% From heart attack and stroke

1 in 3 U.S. deaths in 2023

Sources: WHO cardiovascular disease fact sheet; CDC Heart Disease Facts.

The solution

From reactive treatment to proactive prevention

A clinician-controlled remote monitoring layer that turns home signals into action. Clinical decision support, not autonomous diagnosis.

Capture

Blood pressure, heart rate, SpO2, and wearable signals sync from home through certified devices and consumer platforms.

Detect

Vascora compares those signals with a patient-specific baseline and flags patterns such as sustained rise or loss of night-time dipping.

Intervene

Clinicians receive prioritized context inside the workflow, in time for follow-up, medication review, or escalation.

How Vascora operates

Continuous data, personal baseline, earlier action

01. Data acquisition

Measurements from certified devices such as iHealth, or from Apple Watch, Garmin, and Fitbit, sync through Bluetooth and health APIs.

02. Baseline processing

The engine reads each new signal against that patient’s own history, filtering noise and normalizing the trend.

03. Intelligence layer

Models look for sustained increases, loss of dipping, and related recovery signals, then update a dynamic cardiovascular risk score.

04. Clinical workflow

Actionable alerts land in the iPacienti dashboard so the care team can intervene when the pattern is still reversible.

Wrist to clinic

A clinical workflow, not a standalone gadget

Devices

Apple Watch, Garmin, Fitbit, and iHealth blood pressure devices.

Mobile gateway

HealthKit, Google Fit, and Bluetooth or API sync.

Vascora engine

Stream processing, personal baselines, and AI risk scoring.

Clinical dashboard

Prioritized risk inside the existing provider workflow.

Intervention

Follow-up, medication review, or escalation.

Consented data flow, an audit trail, role-based access, and clinical escalation logic sit under the pipeline.

Illustrative case

Needs review

Last sync: 45s ago

Signal: Good

Heart rate

122 bpm

Tachycardia

SpO2

87 %

Hypoxia

Blood pressure

190/121

Hypertensive emergency

Sleep

4.3 h

Insufficient

Illustrative alert: several parameters moved together. A clinician reviews the driver before acting.

Explainable signals

Alerts physicians can inspect

Vascora is built around deterioration signals with a stated driver, so the care team sees why a patient moved up the list.

Semantic labels on raw measurements
A live risk index with the main driver named
Wearable and certified-device data in one view

Population view

See where risk is rising

Map-based oversight shows which patients need attention across a panel, so home-care and clinic follow-up can be coordinated from one view.

Each marker opens the score and the factors behind it.

Clinical intelligence

Risk measured against the person, not one snapshot

Patient-specific baseline

Vascora learns each patient’s usual physiology and flags deviations from that normal, rather than relying only on a static population threshold.

Night-time dipping

The engine looks for a non-dipping pattern, when blood pressure fails to fall during sleep, a signal associated with higher stroke and cardiac risk.

Dynamic risk scoring

Blood pressure trends, heart-rate variability, and resting heart rate combine into a live index that orders who needs attention first.

Home blood pressure cuff beside a phone alert

Wearables and devices

Continuous monitoring between visits

Signals keep arriving after the patient leaves the clinic, so the next decision is based on a trend instead of a single reading.

Apple Health and Google Fit
Garmin and Fitbit sync
Resting heart rate and sleep trends
Certified iHealth blood pressure devices

Already in clinical software

Built on iPacienti, packaged as Vascora

Vascora is the cardiovascular prevention layer of an existing healthcare platform, delivered by Tretek.

2015

Tretek founded

A software company with health-tech delivery experience.

Live

iPacienti integration

Alerts sit inside existing clinical workflows and patient context.

50K+

Patients monitored

A working remote-monitoring base, with a team of 25+ professionals.

Provider pricing

Recurring software for the clinic. Patient access stays free.

Clinical module

€99/mo

AI trend engine
Clinical dashboard
Tiered alert management
Technical support

Deploy to a clinic

Patient access

€0/app

Software is free for patients on iPacienti.

Automatic data sync
Mobile guidance
Weekly health insights
Optional €40 device

iHealth Track

Enterprise and API

Custom

For health systems, insurers, and partners that want risk scoring inside their own workflow.

Panel and usage tiers
Device and wearable connectors
Partner API

Talk with us

The team behind Vascora

Tretek, 25+ people building healthcare software since 2015.

Lirim Sulejmani

Product Owner

Besmir Sejdiu

CTO

Dr. Gëzim Berisha

Medical Specialist

Astrit Bislimi

Mobile Developer

Blerta Mecini

Senior Developer

Perparim Zejnullahu

Senior Developer

Eriona Mustafa

Software Engineer

Erblina Zhegrova

Marketing Manager

Talk with Vascora

For clinics, hospitals, and partners evaluating cardiovascular prevention inside an existing workflow.

Phone +383 49 642 227

Email info@tretek.io

Address Rr. Muharrem Fejza, Mati 1, Prishtinë