50
Algorithms
12 Million
Patients worldwide
Saventic Health helps you streamline clinical trials, diagnostics, and treatment pathways for rare diseases. Our AI-driven technology identifies high-risk patients faster and more accurately, allowing you to accelerate recruitment, reduce diagnostic delays, and improve outcomes.
Whether you’re running clinical studies or expanding access to therapies, we support your goals by making the patient journey more efficient—from suspicion to confirmed diagnosis and beyond.
Saventic Med
Integration with hospitals EMRs, analysis of all clinical data and identification of high risk patients.
Saventic Care
Global, online application for patients, caregivers and GPs to identify high risk patients and organise the entire journey.
500+
Rare-disease diagnosis
We have active projects and strategic partnerships in countries across South America, North America, Asia, and Europe, including:
South America: Argentina, Brazil, Chile, ColombiaNorth America: Canada, Mexico, United States
Asia: Taiwan
Europe: Austria, France, Germany, Poland, Switzerland
Additionally, we have plans to expand to more countries in Latin America, Asia, and the Gulf region.
300 million people live with a rare disease worldwide, but they are still overlooked. Most healthcare professionals are not familiar with these conditions, misdiagnosing patients with other diseases due similar symptoms.
On top of that, the lack of scalable tools able to flag early signs and refer patients accordingly contributes to a poor funnel.
As a result, most rare patients wait over 5 years for a diagnosis confirmation. During this time, their symptoms can get worse, sometimes even permanent. This issue also impacts the public health system, private institutions and patients' families financially. Every year, the US Government spends $266.000 per patient on medical costs.
The sooner we get a diagnosis, the earlier we can reduce the burden for everyone involved in the patients journey - and contribute to a better life quality.
6-8%
of the global population live with a rare disease.
rare diseases have been identified by science.
50%
of rare diseases affect children, many with early-onset, life-limiting conditions.
1 in 8
5
years on average is the diagnostic delay faced by most rare disease patients.
10%
of rare diseases currently have a treatment, though many players are actively developing new therapies.
Our algorithms focus on rare diseases with systemic impacts — including hematologic, immunologic, metabolic, and cardiovascular conditions — where early detection is critical and symptoms are often nonspecific.
Saventic Med is a platform designed for hospitals and clinics who want to improve their patient experience by providing faster and more accurate rare disease diagnosis. The implementation process takes 4-6 weeks and happens in place, ensuring data protection and safety.
Set Up
We install a local server with our algorithms to scan anonymized patient's data.
Screening
Our algorithms flag patients with high risk of rare diseases, based on EMR information.
Report
Our platform generates a report and, with this information, your medical team can start a diagnostic and treatment plan.
After visiting many doctors and not getting a final diagnosis, patients and their families often start looking for answers on their own. This is why we created an online platform where they can assess the risk of rare diseases and receive personalized guidance on where to find the right support.
Online Form
Patients inform their symptoms, medical history and previous test results.
Analysis
After scanning patients’ data, our algorithms flag the ones with high risk of rare diseases.
Feedback
Our medical team checks the risk and we share with the patient their orientations.
An NLP-based scoring system was developed to identify Fabry disease using electronic health records. It showed high accuracy (AUC 0.998) and successfully flagged a confirmed case, supporting earlier and more precise diagnosis.
Idiopathic multicentric Castleman's disease (iMCD) is an ultra-rare condition often diagnosed late due to low awareness. An AI-based algorithm using electronic health records may help detect suspected cases that were previously overlooked.
We cooperate with pharma, biotechs, labs, hospitals and physicians worldwide to streamline diagnosis and connect patients to treatment faster.
For over 20 years, has been developing teams and turning ideas into tangible successes at the intersection of hematooncology, neurology, cardiology, rare diseases in big pharma like AstraZeneca, Boehringer Ingelheim and AbbVie.
Data Scientist with Master’s in Advanced Analytics and Big data from Warsaw School of Economics with experience across multiple industries and currently focusing on natural language processing, LLMs and machine learning to help create innovative solutions in healthcare.
Karol Lis a physician-scientist and hematologist with expertise in rare diseases, clinical research, and AI-driven diagnostics. As Chief Medical Officer at Saventic Health, he combines medical knowledge with technology to improve early detection and care for patients with complex disorders.
Joanna Jarmoc is Global Business Development Manager at Saventic Health, where she drives the international growth of AI-powered solutions for rare disease diagnosis. Joanna has consistently represented the company at prestigious events—such as HLTH 2022 in Las Vegas, Reuters Events Pharma in Barcelona, the HIMSS25 Pitch Fest in Paris, and the CEE Deep Tech Summit, earning multiple awards for Saventic’s vision and innovation. Her expertise in pitching, partnerships, and strategic outreach positions Saventic Health at the forefront of global healthtech.
Marta Koryga is the Global Lead at Saventic Health, where she leads the strategic development and international expansion of Saventic Care, a digital platform designed to support patients diagnostic journey. With a background in economics from the Warsaw School of Economics (SGH), Marta combines product leadership with a deep commitment to improving patient journeys worldwide. She also collaborates closely with the Saventic Foundation, helping bridge innovation and patient support.
Email: marta.koryga@saventic.com
Aneta Matysiak‑Świątek is a Project Manager for the German market at Saventic Health. With a background in managing cross-border projects, she leads the strategic rollout and localization of Saventic’s solutions within Germany—overseeing partnerships, regulatory alignment, and client onboarding. Known for her strong organizational skills and deep understanding of both tech and healthcare ecosystems in DACH, Aneta plays a pivotal role in scaling Saventic’s impact across Central Europe.
Email: aneta.matysiak@saventic.com
Pedro Amaral is a Junior Data Scientist at Saventic Health, where they contribute to the development of AI-powered solutions for diagnosing rare diseases. Currently pursuing a Master’s degree in Machine Learning and Artificial Intelligence at the Universidade Federal do Ceará, Pedro also holds a Bachelor’s degree in Computer Science from the same institution. Their expertise in data science and machine learning is pivotal in enhancing healthcare technologies that support faster and more accurate diagnostics.
Wojciech Amtmański is a Data Scientist at Saventic Health, focusing on developing AI-driven diagnostic algorithms for rare diseases. His work involves analyzing electronic health records to identify patterns indicative of conditions like Castleman’s disease, aiming to enhance early detection and treatment. Wojciech’s expertise contributes to Saventic Health’s mission to make rare disease diagnostics faster, smarter, and more accessible.
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Szymon Piątkowski absolvierte Informatik an der Nicolaus Copernicus University (BS) sowie Finance and Banking an der Warsaw School of Economics (MA). Die Themen seiner Diplomarbeit konzentrierten sich auf Convolutional Neural Networks, deren Vergleich mit traditionellen statistischen Methoden sowie die Implementierung neuronaler Netzwerklösungen in der Praxis.
Er verfügt über mehr als 12 Jahre globale Erfahrung in der strategischen und operativen Beratung bei PwC & EY mit Schwerpunkt im Gesundheitswesen.