Introducing the Corti Builder Series

The Corti Builder Series It is a set of conversations with the people trying to make medical expertise available at scale. We started Corti with the belief that expertise should not be scarce, and this series follows those working to close that gap, one system at a time.

We focus on the work itself, what breaks, what holds, and what it actually takes to ship in healthcare.

Explore Builder Series

The gap builders are working to close

There are roughly 15 million physicians serving roughly 8 billion people. The math does not work, and it never has. As demand grows, as populations age, and as costs rise, more people are pushed further away from high-quality care. The gap is structural, and it is getting wider.

It has to change.

We grew up on promises like this. Hanna-Barbera gave us robot doctors making house calls. Star Trek gave us tricorders that could diagnose anything with a wave. Star Wars imagined bacta tanks that could rebuild a body overnight. Disney showed futures where healthcare was instant, personal, and everywhere.

We were promised infinite, cheap, personalized medicine on the go.

Then we grew up. We found ourselves sitting in waiting rooms. Filling out the same forms for the third time. Watching our parents navigate billing departments and referral loops. We realized that the healthcare system we inherited was built for a different century, and it is breaking under the weight of this one.

So we got disillusioned. And then we got to work.

Introducing the Builder Series

It's a show about the people building the future of healthcare. Every day, in clinics, hospitals, startups, and research labs around the world, people are building systems that might actually make healthcare scale. They are not waiting for perfect conditions or fully formed solutions. They are working within constraints, making tradeoffs, and shipping anyway.

This series is a homage to those builders. The ones who decided that if the future was not going to arrive on schedule, they would drag it here themselves.

Our goal is to document whats actually happening at the frontier of healthcare AI. Not the announcements or the hype cycles, but the work itself. The debugging sessions that stretch late into the night. The clinical validations that take months longer than planned. The regulatory dead ends that eventually turn into viable paths forward.

The builders shaping what comes next

Clinicians turned builders who are rethinking how care is delivered and building applications for themselves and their peers.

• Clinicians deploying their own multi-agent systems to assist with the complexity of their day-to-day clinical work
• Emergency physicians designing new triage workflows.
• Radiologists experimenting with model-assisted review.
• Primary care doctors building tools to reduce documentation burden, surface risk earlier, or coordinate care more effectively.

These are people grounded in clinical reality, building because waiting is no longer an option.

Engineers solving the hard infrastructure problems.

• How to design systems that operate reliably when the stakes are as high as patient safety?
• How to you work with clinical data that is both deeply valuable and deeply sensitive?
• How to manage latency, cost, and accuracy in production systems that cannot afford silent failure?

We explore system architecture, evaluation strategies, deployment patterns, and the practical realities of shipping in a heavily regulated environment.

Researchers pushing the boundaries of what AI can do in healthcare, and then turning that research into real systems.

• Mechanistic interpretability and why it matters for trust in clinical models.
• Memory and context engineering for long-running agent systems.
• Autonomous and semi-autonomous agents that can reason, act, and defer appropriately.

We discuss what works, what breaks, and what still feels unsolved.

The core questions driving these conversations

Across these conversations, we return to the same questions.

• What does it take to move from a promising demo to a system that clinicians actually rely on?
• Where do current approaches fail under real-world conditions?
• What kinds of architectural decisions make systems safer, more interpretable, and more durable over time?
• And more...

If you are building in healthcare AI, or thinking about diving into the space, this series is for you.

— Andreas, Lars, and the rest of the Corti team