Most of my time at Moorfields Eye Hospital is spent looking at things the human eye can barely see.
I've been deep in the world of Eye2Gene, where we train AI models to look at retinal scans and pick up on tiny pathologies that indicate rare diseases. If you've ever tried to "teach" a computer to understand the difference between a healthy eye and a complex medical condition, you know how incredibly difficult it is. It takes months of refining, thousands of data points, and a level of precision where there is absolutely zero room for error.
So, why did I take that same high-level AI and use it to build a "voice agent" for dental practices?
Because a missed call is a diagnosis of a different kind.
When I talk to dentists, the problem is always the same: The phone is ringing, the receptionist is busy with a patient in the chair, and the person on the other end - maybe someone looking for a £5,000 implant - just hangs up and calls the clinic down the road.
Applying "Moorfields Level" Precision to your Phone Lines
Building an AI that can actually talk to a patient without sounding like a stuttering robot is just as hard as training an AI to read a scan. It requires the same architecture and the same technical "brain" that we used in our research.
At Clero, we've taken that same rigor and built a voice assistant that:
Actually Listens: It doesn't just wait for its turn to talk; it understands context and nuances in accent - just like our scan models understand nuances in tissue.
Direct Action: It doesn't just "take a message." It knows your schedule in Dentally, SOE, Pearl or whatever PMS you use, and puts the appointment in the calendar for you.
Earned Trust: If we can build models trusted to look at human eyes, we can build a system you can trust to handle your patients' first impressions.
We aren't just a "software company." We are clinical researchers who saw a massive bottleneck in how healthcare admin works. We've done the hard work of building the brain; now, we're letting it work for your practice.