Nabla: The AI Scribe Quietly Transforming Modern Medicine
Walk into a typical clinic today and you will see a familiar scene: a doctor speaking with a patient while typing furiously into a computer. The conversation pauses, eye contact breaks, and the physician struggles to keep up with the endless documentation required by modern healthcare.
For decades, paperwork has been one of medicine’s biggest hidden burdens.
Now a startup called Nabla believes artificial intelligence can finally change that.
The Silent Partner in the Exam Room
Founded in 2018 by entrepreneurs Alexandre Lebrun, Martin Raison, and Delphine Groll, Nabla built a simple but powerful idea: what if an AI could sit quietly in the room, listen to the doctor-patient conversation, and automatically write the clinical notes?
That idea became Nabla Copilot, an AI-powered medical scribe that turns conversations into structured clinical documentation in seconds. Instead of typing notes or finishing charts late at night, clinicians can focus entirely on the patient in front of them.
The software listens during consultations and generates detailed records that include symptoms, medical history, diagnoses, and treatment plans—ready to be saved directly into the hospital’s electronic health record system.
What once took doctors hours can now happen almost instantly.
Solving One of Healthcare’s Biggest Problems
Burnout among healthcare professionals is a global crisis. Studies repeatedly show that doctors spend an enormous portion of their day not treating patients, but documenting care.
Nabla’s founders saw an opportunity to use AI not to replace physicians, but to restore the human side of medicine.
Instead of acting as a medical decision-maker, Nabla’s AI works like a digital assistant—handling documentation, identifying billing codes, and organizing information so clinicians can concentrate on diagnosis and patient interaction.
This shift may sound small, but in practice it’s transformative. Doctors report saving hours every week and reclaiming time that can be spent listening to patients rather than staring at a screen.
Built by Engineers Who Wanted to Do Something That Matters
Interestingly, Nabla’s founders didn’t start in healthcare.
Before building the company, Alexandre Lebrun and his team were AI entrepreneurs who had previously sold a startup called Wit.ai to Facebook. After working in the advertising technology world, they began asking themselves a bigger question:
What if artificial intelligence could be used for something genuinely useful?
Healthcare became the answer.
They realized hospitals were drowning in data and administrative work—exactly the kind of problem machine learning could help solve.
A Global Platform for Modern Medicine
Since launching, Nabla has grown rapidly.
Today its technology supports dozens of medical specialties and more than 35 languages, allowing doctors to document visits in real time whether consultations happen in person or virtually.
The system also integrates with major electronic health record platforms used by hospitals and clinics worldwide.
In other words, Nabla is positioning itself as the operating layer between human conversations and digital medical records.
Why Entrepreneurs Should Pay Attention
Nabla’s story highlights something many founders overlook: some of the biggest opportunities lie not in flashy consumer apps, but in fixing painful workflows inside massive industries.
Healthcare generates trillions of dollars in value every year, yet many of its core systems remain outdated. Documentation, billing, record-keeping, and patient coordination are all ripe for reinvention.
Nabla didn’t try to build a new hospital system.
It simply solved one persistent problem extremely well.
That focus turned a quiet AI tool into one of the most promising companies in the fast-growing medical AI assistant market.
The Bigger Vision
Ultimately, Nabla’s ambition extends beyond note-taking.
The company is building what many call a “clinical copilot”—an AI layer that can help clinicians understand patient history, identify gaps in care, and streamline workflows during appointments.
But the philosophy remains the same:
AI should augment doctors, not replace them.