Imagine diagnosing lung function with the precision of a CT scan, but without a single drop of radiation. That’s the reality 4DMedical is building, and they’re doing it with a lean team of just 14 people.

"They aren't just analyzing images; they are decoding the physics of breathing in real-time."

The team composition tells a story of deep specialization. With leadership spanning Global Business Development (David Hannes) to Machine Learning Science (Sahar Zafari), they are structurally built to bridge the gap between complex AI algorithms and FDA-cleared medical devices. Their tech stack, relying on jQuery and Bootstrap, suggests a focus on robust functionality over flashy frontend aesthetics—a pragmatic choice for medical software.

• Hyper-specialized team (14 employees) focused entirely on pulmonary imaging.
• Proprietary CT:VQ™ algorithm enabling non-invasive functional analysis.
• Strong clinical backing with presence at major conferences like RSNA.
• Lean operations with $2.6M in revenue, suggesting efficient capital usage.