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TRANSFORMING
HEALTHCARE througH
DEEP LEARNING

PREDICTIVE AI

WILL REVOLUTIONIZE

PATIENT MONITORING

Our predictive patient monitoring software allows healthcare providers to respond to life-threatening medical events before they occur.

Using cutting-edge machine learning techniques employed at CERN's Large Hadron Collider, we identify subtle changes preceding patient deterioration that are invisible to both physicians and standard patient monitoring software, transforming the patient monitoring paradigm from reactive to predictive.

Our first patented technology—built using the largest database of its kind—identifies patients at imminent risk of sudden cardiac arrest, allowing doctors and nurses to take preventive actions.

The American Heart Association recommends early intervention as the centerpiece of its guidelines on improving cardiac arrest care, based on research showing that early action saves lives and improves neurological outcomes among survivors.  Our technology offers new hope for the 299,000 patients who experience cardiac arrest in US hospitals each year—of whom only 25% survive—and for the 6 million people around the world who die from sudden cardiac arrest annually.

With funding from leading mission-driven organizations (Wellcome Trust, Innovate UK, EU Data Pitch, Enterprise Estonia, Prototron) and investors (Tera Ventures, InHealth Ventures, Entrepreneur First, AI Seed), we are bringing our sudden cardiac arrest prediction technology to patients and developing our next generation of predictive technologies.

Team

JOSH OPPENHEIMER,
MD, MBA
Co-Founder &
 CEO


Josh holds an MD from Mount Sinai, an MBA from Cambridge, and a degree in Health Policy from Princeton. Josh was a chief resident at George Washington University Hospital and is a practicing emergency medicine physician.
MAREK SIRENDI,
PhD
Co-Founder &
Scientific Advisor


Marek holds a PhD in Physics from Cambridge. He previously developed deep learning models at CERN's Large Hadron Collider to precisely measure the W and Higgs bosons.
MAREK REI,
PhD
Co-Founder &
Scientific Advisor


Marek holds a PhD from Cambridge. Marek is a visiting lecturer at Cambridge and a lecturer at Imperial College London. He previously developed predictive deep learning models at SwiftKey, which was acquired by Microsoft.
DEEPAK "DB" 
BHARADWAJ
CTO & 
Head of Product


DB is a serial entrepreneur, who has founded and led product for a range of healthcare, machine learning, and other tech startups. He was previously a senior executive at Microsoft.
LAURA KARINDI,
MSc
Product

Laura holds an MSc in Biomedical Engineering and Medical Physics. She previously worked as a manager and biomedical engineer in hospitals.
BUNSI KESHAV,
MSc
Product

Bunsi holds an MSc in Clinical Engineering from King's College London. She previously worked in clinical engineering at the NHS.
SCOTT VINAY,
PhD
Data Science

Scott holds a PhD in Quantum Cryptography form the University of Sheffield.
DANIEL SANTOSH,
MSc
Data Science

Daniel holds a dual MSc in Astrophysics & Business Analytics from University College London.
ORA HIRSCH PESCOVITZ, MD
Director & 
Medical Innovation Advisor


Ora is a world-renowned physician-scientist and leader, currently serving as the President of Oakland University. She previously served as the CEO of the University of Michigan Health Systems and as Senior Vice President at Eli Lilly and Company.
JACK LEWIN, MD
Medical Innovation Advisor

Jack brings decades of experience in healthcare innovation, having previously served as CEO of both the American College of Cardiology and the Cardiovascular Research Foundation. He is the President of the National Coalition on Health Care.
AMEYA BHATAWDEKAR, MBA
Data Science Advisor

Ameya is a principal machine learning scientist manager at Microsoft and was previously a product lead at Facebook AI.
DIOGO SANTOS, PhD
Data Science Advisor

Diogo is a machine learning engineer at Blue Brain Project who conducted his PhD research on the interstection of AI and cardiology at the Institute of Cardiovascular Science at University College London.
ENO-MARTIN LOTMAN, MD
Clinical R&D Champion

Eno-Martin is a cardiologist at North Estonia Medical Centre. Eno-Martin leads Transformative's research & development partnership with NEMC.
ANTHONY MATHUR, MD
Clinical R&D Champion

Anthony is a professor and clinical director for interventional cardiology at Bart's Health NHS Trust. Anthony leads Transformative's research & development partnership with Barts.
ELIZABETH JENNINGS
Commercial Advisor

Elizabeth brings vast experience advising medical technology and life science start-ups and investors. She is the Founder and Principle of Venture Atlas Labs.
PARUL CHANSORIA
Regulatory & Quality Advisor

Parul is an entrepreneur and regulatory expert who has helped medical companies secure a wide range of FDA and global regulatory approvals.
OMAR FARUQ
Finance Advisor

Omar is an entrepreneur and accountant focused on supporting tech start-ups and high-growth companies.
The future is already here -
it's just not evenly distributed.

- William Gibson

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Transformative AI OÜ has been granted aid of €421 476,13 euros from Enterprise Product Development Support, Enterprise Development Program and Applied Research Program (2014-2020.15.3.2). Transformative is developing CodeRhythm, a machine learning algorithm that analyses continuous cardiac data to predict shockable cardiac arrest, helping doctors take preventive actions and improve survival. The aim of the proposed applied research project is to carry out development activities for CodeRhythm to be validated in laboratory environment (TRL 5), together with North Estonia Medical Centre, a leading hospital in acute cardiac care. The project is funded as part of the Union's response to the COVID-19 pandemic from European Regional Development Fund.