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Nabla: reviews and analysis
European ambient AI that documents the visit and generates the clinical note in the EHR.
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Nabla launched in Paris in 2018 and is one of the few AI clinical documentation tools with real European roots, though its press-cited client base (CVS Health, UCLA Health, Denver Health) is mostly American. It transcribes the visit and generates SOAP notes with FHIR-normalized data and ICD-10 coding, with deep integrations into Epic, athenahealth and Oracle Health/Cerner. It publishes no rates: access is through a sales demo, though it does offer a free trial to get started.
Best for: Clinics and health systems looking for an ambient documentation vendor with European origins and good EHR integration.
What people said this week
Tracked from July 20, 2026 to July 27, 2026 · 2 new signals
STAT News publishes an interview with founder Alex Lebrun on the «world model» concept applied to clinical AI Read it
Nabla names Brian Manning as its new CEO, and founder Alex Lebrun moves to Executive Chairman and Chief AI Officer Read it
This week’s sentiment is one fifth of the score. It is only computed when there are at least two dated, linkable signals: without them, the score stays on the five sweep axes.
What the internet says
The week brings a leadership change (new CEO) and a founder interview on «world models» applied to clinical AI. Large-scale adoption (more than a hundred healthcare organizations) is well documented, though clinical-impact figures are the company's own material.
What the web repeats in favour
- More than 190 healthcare organizations and 100,000 clinicians use Nabla, with cited clients like CVS Health, UCLA Health and Denver Health
- The public API and official GitHub SDKs allow custom integrations beyond the usual EHRs
What the web repeats against
- There is no public pricing page: the only route is a sales demo
- The time-saving and burnout-reduction figures Nabla publishes are its own marketing material, without an independent study backing them
Sweep sources: Official pricing · Docs · Press · GitHub
Pros / Cons
Pros
- Verifiable European roots (founded in Paris) with commercial presence in the US
- Deep, documented integrations with Epic, athenahealth, Oracle Health/Cerner, NextGen and Greenway
- Public documented API and official mobile SDKs on GitHub
Cons
- Publishes no rates: the price only shows up after a sales demo
- Clinical results figures are Nabla's own marketing material, without an independent study backing them
TLDR: Nabla launched in Paris in 2018 and is one of the few AI clinical documentation tools with real European roots, though its press-cited client base (CVS Health, UCLA Health, Denver Health) is mostly American. It transcribes the visit and generates SOAP notes with FHIR-normalized data and ICD-10 coding, with deep integrations into Epic, athenahealth and Oracle Health/Cerner. It publishes no rates: access is through a sales demo, though it does offer a free trial to get started.
What Nabla is and how it works
Nabla is an ambient AI: it listens to the doctor-patient visit (with consent) and automatically generates the structured clinical note, with data normalized in FHIR format and ICD-10/LOINC coding, plus E/M billing code suggestions. It also allows real-time dictation directly inside the EHR, without switching screens.
Founded in December 2018 by Alexandre Lebrun, Delphine Groll and Martin Raison, it keeps a dual Paris and Brooklyn base. Per its own July 2026 announcement, more than 190 healthcare organizations and 100,000 clinicians use it, with more than 40 million visits a year. July 2026 also brought a leadership change: Brian Manning took over as CEO, with founder Alex Lebrun moving to Executive Chairman and Chief AI Officer.
What using it is like day to day
What sets Nabla apart in a market dominated by American competitors is its origin: it grows out of a French company with nearly a decade building conversational AI technology, not a startup that emerged directly for clinical scribing. That technical base shows in the integrations, among the most complete in the sector: Epic, athenahealth, Oracle Health/Cerner, NextGen and Greenway, plus a documented public API and official iOS and Android SDKs on GitHub.
The impact figures the company itself publishes (an hour saved a day, a 27% drop in burnout, more patients seen per month) are real in the sense that the company makes them public, but they are worth treating as what they are: the company’s own marketing material, without an independent peer-reviewed study backing them.
Pricing and plans
Nabla publishes no rate at all. The /pricing page on its site returns an error, and there is no figure visible anywhere on the site. Access is through a sales demo, typical of selling to health systems and hospitals, though the site itself does offer the option to “try it for free” before talking to the sales team.
Any figure circulating on third-party sites about what Nabla costs does not come from an official source and varies from one source to another, so this listing records no number.
Who it is for (and who it is not for)
It fits clinics and health systems looking for an ambient documentation vendor with good integration into their existing EHR and who value a company with European roots in a market dominated by American competitors.
It does not fit anyone wanting to know the price before going through a sales process, nor the independent doctor looking for a self-serve tool: Nabla’s sales model is built for organizations, not a lone practitioner.
Alternatives to Nabla
Heidi Health covers similar ambient documentation ground with a more accessible pricing model. Freed solves the same problem but targets small practices and independent doctors explicitly, with public pricing from the start.
Verdict
Nabla shows real adoption at scale and one of the most complete integration sets in the sector, with the added edge of a European origin few competitors can claim. The July 2026 leadership change and the media interest in its founder’s ideas on clinical AI suggest a company that keeps moving, not one standing still.
What stops us recommending it without reservation is the usual thing in this category: you cannot find out what it costs without going through a salesperson, which shuts out the reader who just wants to compare prices before deciding.