Leadership toward our vision of the future.

Our Story

Cubismi was founded to translate critical-need big data precision and medical imaging technology into improved clinical care. As a start-up created by working radiologists and imaging experts, we understand the massive improvement such a technology will bring to population health, healthcare costs, and people’s lives.

Our Story

Precision imaging will impact diseases such as cancer, a disease that impacts one in three of us. New precision “virtual biopsy” biomarkers will lead to far earlier detection, diagnosis, and cure of certain cancers. New precision biomarkers will also allow us to better monitor treatments of cancer and other diseases.

Yet, creating a start-up to successfully launch this critically needed technology in the current healthcare environment is challenging. Most healthcare systems are encumbered with legacy technologies, persistent barriers to innovation, and large vendor “lock in”. Most VC-funded start-ups today are focused on black-box “artificial intelligence” algorithms that only bolster existing legacy systems. These products introduce broad new safety concerns for use of unreliable algorithmic decision-making in patient care.

Our Story

What if we could instead start with a design-thinking approach? And pursue an optimal way for doctors and patients to interact with precision analytics systems to deliver improved care? What if we didn’t just bolt on “upgrades” to mask decades-old problems? What if we could gracefully replace outdated tools with a modern foundational framework for clinical practice?

That’s exactly what we are doing. Cubismi is using new cloud, machine learning, deep learning, and big data technologies to launch our vision of the future. At the heart of our designs is an understanding of the importance of human interaction and clear communications in healthcare. We designed our systems to empower doctors and patients. We are designing products that will be loved by our end users. It has been a harder but smarter journey with a primary focus on optimal human-computer systems design: systems that will result in better patient outcomes, higher levels of clinical insight, a deeper understanding of diseases that harm us, and reduced operational expenses.

We understand that the winning strategy isn’t just about technology, power politics, black-box algorithms and spreadsheets—it’s about empowering people and rediscovering the art of medicine in a new digital age.

Featured Team Members

Moira Schieke

Andreas Velten

Noam Ziv

Alexander Norbash

Louise Kirkbride

Don Jones

Jeanine “Nini” Martin

Brian Fisher

Adrienne Lenz

Anette Asher

James Spaulding

Casey Garr

Krasimir Galabov