About Nabla
Nabla is a clinical AI company founded in 2018 by Alex Lebrun, Delphine Groll, and Martin Raison. Headquartered in Paris with offices in New York, Nabla builds ambient AI technology that listens to doctor-patient conversations and automatically generates structured clinical notes - helping clinicians spend less time on documentation and more time with patients.
Used across 130+ health systems and by 85,000+ clinicians, Nabla supports 55+ medical specialties in 35 languages. The company has raised $120 million in total funding from HV Capital, Highland Europe, Cathay Innovation, DST Global, and Build Collective. Notable advisors include Yann LeCun (Meta) and Tony Fadell (Build Collective).
Products & Services
Listens to doctor-patient conversations and generates structured clinical notes in real time. Notes appear within ~20 seconds of appointment end.
Suggests real-time ICD-10 and CPT codes during encounters, helping capture revenue accurately and reduce claim denials.
Plug-and-play ambient AI module that integrates with any EHR system, enabling rapid deployment without deep technical integration.
Deep bi-directional integrations with Epic, Cerner, athenahealth, and NextGen that push notes directly into the patient chart.
Medical-grade speech-to-text dictation that understands clinical terminology across 55+ specialties and 35 languages.
Next-generation platform evolving from documentation to proactive EHR actions, order entry assistance, and cross-role clinical support.
Nabla Integrations
Nabla integrates with 15+ EHR platforms and clinical tools, covering the vast majority of health system workflows:
Customers & Case Studies
Top Customers
Customer Success Stories
Safety-net system selected Nabla's ambient AI to reduce documentation burden for clinicians treating underserved populations.
Rolled out Nabla through Epic integration, reducing note-taking time by 40% with accurate, streamlined documentation.
Burnout scores dropped from 4.2 to 3.2 (below the burnout threshold) after Nabla deployment.
Deployed ambient AI across pediatric specialties to improve clinician well-being and documentation quality.
82% of clinicians experienced less time pressure, with patient satisfaction scores increasing by up to 15 points.
Virtual mental health provider uses Nabla to streamline telehealth documentation across its platform.
Case Studies by Industry
Pain Points & Solutions
Doctors spend 2+ hours on documentation per day. Nabla cuts that time, with Iowa Health Care seeing burnout scores drop below the threshold after deployment.
Manual charting takes clinicians away from patients. Nabla generates notes from conversations in ~20 seconds, reducing note-typing by 40% at Carle Health.
Missed codes and undercoding lead to lost revenue. Nabla's real-time coding suggestions help capture the right ICD-10 and CPT codes during encounters.
Switching between systems slows workflows. Nabla integrates directly into Epic, Cerner, and athenahealth so notes land in the chart automatically.
Doctors typing during visits erodes trust. With Nabla listening in the background, clinicians can maintain eye contact. Patient satisfaction rose 15 points at Mankato Clinic.
Documentation burden is a top driver of physician turnover. Reducing after-hours charting helps health systems retain talent and control labor costs.
How Nabla Looks on AI Platforms
Nabla's score reflects strong product clarity and clinical evidence, but is moderated by limited pricing transparency on the website, enterprise-focused go-to-market that reduces self-service discoverability, and fewer structured data elements compared to broader SaaS platforms.
How accessible is Nabla?
Nabla's website provides clear product descriptions, case studies, and a blog with clinical evidence. However, pricing details are not publicly available (requiring a demo booking), and the platform skews toward enterprise health systems rather than individual clinicians. The case study library and testimonials page are well-structured for AI crawlers.
How easy is it for LLMs to understand Nabla's mission?
Nabla's core value proposition is clearly communicated: ambient AI that generates clinical notes from doctor-patient conversations. The tagline "Enjoy care again" reinforces the burnout-reduction angle. Product pages, press releases, and partnership announcements consistently describe what Nabla does, making it straightforward for LLMs to summarize the company's purpose and differentiation.
Competitive Landscape
How Nabla differentiates in the ambient AI medical scribe market:
| Competitor | What Differentiates Nabla | How Nabla Competes |
|---|---|---|
| Nuance DAX Copilot | Lower price point (~$119 vs ~$600/mo), faster note generation | More affordable for mid-size systems; ~20s note turnaround vs slower Epic-only deep integration |
| Abridge | Broader EHR coverage (15+ vs primarily Epic), GDPR compliance | Works across more EHR platforms; strong EU presence; faster deployment with Nabla Connect |
| Ambience Healthcare | Proven health system deployments, multi-language support | Supports 35 languages vs limited; 130+ health system track record with published outcomes |
| Suki AI | Ambient listening (not just voice commands), real-time coding | Full ambient capture vs voice-command model; integrated coding suggestions during visit |
| DeepScribe | Enterprise-grade scalability, academic medical center adoption | Proven at large academic centers (Iowa, CHLA); deeper EHR-native integrations |
| Freed | Health system focus with enterprise security, HIPAA-compliant infrastructure | SOC 2 Type 2 + ISO 27001 certifications vs individual-practitioner focus; no audio retention |
Pricing
Free
up to 30 consultations / month
Basic ambient note generation. No BAA included. Good for evaluation and residents.
Starter
per provider / month
Full ambient AI scribe with BAA, unlimited encounters, and EHR integration.
Enterprise
annual contract
Deep EHR integration, dedicated support, custom templates, volume discounts for health systems.
Security & Compliance
Nabla processes data on Google Cloud Platform and Microsoft Azure infrastructure. Audio recordings are never retained. Transcripts and notes are stored temporarily (14 days by default, configurable). The company maintains a dedicated Information Security and Privacy team, conducts regular third-party audits and penetration testing, and enforces encryption at rest and in transit.
Strengths & Top Pros
- ✅ Clinical-grade ambient AI that generates notes in ~20 seconds across 55+ specialties
- ✅ Broadest EHR integration footprint in ambient AI: 15+ platforms including Epic, Cerner, athenahealth
- ✅ Proven burnout reduction: Iowa Health Care saw burnout scores drop from 4.2 to 3.2
- ✅ Strong price-to-value ratio at ~$119/mo vs competitors at $200-$600/mo
- ✅ Multi-language support (35 languages) with EU data residency and GDPR compliance
- ✅ Zero audio retention policy - transcripts auto-deleted after configurable window
- ✅ Free tier available for evaluation (30 consultations/month), rare in this market
- ✅ $120M in funding from top-tier VCs with advisors like Yann LeCun and Tony Fadell
What People Say About Nabla
What Does Reddit Have to Say About Nabla
Reddit sentiment toward Nabla is cautiously positive. Residents and European physicians appreciate the free tier and GDPR compliance, while US clinicians praise the ambient note quality when deployed by their hospital. Common criticisms include the enterprise-only access model (individual doctors cannot easily sign up), the need for manual edits on mental status exams in psychiatry, and limited transparency around pricing for smaller practices.
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💬 Best AI scribe for clinicians - comparing Nabla, Freed, and DAX
r/medicine
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💬 Using Nabla free tier as a resident - worth it for charting?
r/Residency
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💬 AI scribe for psychiatry - Nabla's mental status exam needs heavy rewriting
r/Psychiatry
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💬 Hospital just deployed Nabla - thoughts on ambient AI for documentation
r/healthIT
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💬 Comparing AI scribes for family medicine: Nabla vs Abridge vs Suki
r/FamilyMedicine