Project Quintessence is a non-profit research team dedicated to developing cutting-edge open source artificial intelligence solutions for healthcare. We unite clinicians, engineers, and data scientists to radically improve patient outcomes.
"To radically improve patient outcomes by designing, developing, and deploying open-source, clinically aligned, and ethically grounded AI systems for healthcare."
Project Quintessence is a non-profit, independent research foundation dedicated to transforming patient care through open, collaborative innovation at the intersection of medicine, artificial intelligence, robotics, and mathematical science.
Pioneering open source intelligent solutions at the intersection of AI, robotics, and mathematical science
Advanced prediction models for ICU settings and specialized tools for cardiology, neurology, and other critical areas of care.
Large language models and natural language processing solutions that understand clinical text and create intelligent healthcare agents.
Diagnostic robotics and smart procedural assistants that enhance precision and reduce human error in medical settings.
Novel approaches to causal inference and predictive risk modeling that create deeper understanding of healthcare outcomes.
Freely available software, APIs, and research tools for hospitals, researchers, and developers around the world.
Partnerships with healthcare institutions, universities, and independent researchers to accelerate innovation and impact.
Making a difference in healthcare through open research and innovation
By making our research and tools freely available, we ensure that life-saving technology isn't limited by geography or resources.
Our open-source datasets and modeling frameworks are helping researchers worldwide make breakthroughs in understanding disease progression and treatment optimization.
From predictive models that identify at-risk patients to NLP tools that reduce documentation burden, our research enables clinicians to focus more on patient care.
Whether you're a researcher, clinician, engineer, or institution, there are many ways to collaborate with our team.