Cardiolyse

Cardiolyse is a B2B cloud ECG processing platform with predictive scoring ECG algorithms that provide information from general heart health up to full medical conclusion (including mid‐term forecast).
Saas Cloud ECG processing platform for any ECG devices with access to scoring algorithms that make well‐founded integral indices with individual norms concept for everyone. This approach allows enhancing the accuracy of results and make possible to calculate a detailed snapshot of cardiovascular system state, its adaptation potential and to make a middle‐term forecast of serious cardiovascular events.
1. You take control of your life having easy-to-understand assessment of your heart health and predictions (up to 6 month) about your heart.
2. Big Anonymous data about EKG allows to manage healthcare costs for insurance companies, make important decisions about population of countries having CVD predictions map.

These advantages will allow the manufacturers of EKG devices and fitness trackers to enter the market of prevention without spending years on research.

We have pivoted the strategy in April 2016 from hardware+software to software B2B EKG processing platform.

We have also signed the initial contracts with four b2b partners with more than 500 000 users.
We are also in the process of negotiation with two leading manufacturers of fitness trackers.

We have an ongoing discussion about our technology with industry leaders like GE Healthcare, Novartis, Samsung, AXA insurance.

mHealth marke is due to grow up to $55.8B till 2020 with market of prevention of cardiovascular diseases as one of the fastets growing segment.

1. Manufacturers of EKG devices and fitness trackers fight to gain new customers and new markets. Most of the players are searching for the possibilities to enter the market of prevention of cardiovascular diseases.
There is plenty of technological tools that track and analyze everyday activities, but there is none that will allow people to track the effect of those activities on their health. Such analytics would allow companies to enter the market of self-health management and prevention of heart diseases.
2. For the end users "on demand" means "too late to prevent". They need to know what is good and how to change your lifestyle to live actively to late 90's instead of having a heart attack at early 50's. Nowadays, even the most advanced and user-friendly ECG devices only transfer the data to the doctor or give users the warning that they need to call an emergency because of the dangerous heart state.
But those type of technologies does not allow prevent the diseases.

ECG processing platform works with any kind of ECG devices - from 1-lead EKG implemented into a fitness tracker to a medical-grade 12-lead EKG devices.
Cardiolyse Saas Cloud ECG processing platform for any ECG devices with access to scoring algorithms that make well‐founded integral indices with individual norms concept for everyone. This approach allows enhancing the accuracy of results and make possible to calculate a detailed snapshot of cardiovascular system state, its adaptation potential and to make a middle‐term forecast of serious cardiovascular events.
1. You take control of your life having easy-to-understand assessment of your heart health and predictions (up to 6 month) about your heart.
2. Big Anonymous data about EKG allows to manage healthcare costs for insurance companies, make important decisions about population of countries having CVD predictions map.

These advantages will allow the manufacturers of EKG devices and fitness trackers to enter the market of prevention without spending years on research.

There are four main competitors:

1. Cardiosecur - cardiosecur.com/

2. AliveCor - www.alivecor.com/

3. HeartCheck - www.theheartcheck.com/

4. Cardiocity - www.cardiocity.com

All of them have EKG devices used to detect emergency situations. All of them are easy to use, and use cloud technologies but do not have focus on both: detecting problems (most of them are detecting only dangerous arrhythmia) and self health management - prevention of diseases. They also do not bring the meaningful and easy-to understand results to the end user for supporting everyday decisions.

The algorithm is based on the 10-year clinical studies, both hospital and non-hospital conditions, as well as biophysical modelling. It is important to admit that the developer’s team works in interdisciplinary fashion and combines the clinical cardiology knowledge with the knowledge and experience in medical informatics and engineering. Cybernetic skills to process the data are of great help to present the data in user-friendly way, for example, while using the “traffic lights” logic.

Revenue Model
1) Subscriptions
2) Payment per ECG analysis,
3) Research,
4) Big data analysis.

Clinical trials
Business development and Marketing

Shares and opportunities to collaborate with global medtech project

The legth of certification processes in the EU and the USA.