Nabla

High-Level Overview

Nabla is a healthtech company building an ambient AI assistant that automates clinical documentation for clinicians, generating real-time structured notes from patient conversations that integrate directly into electronic health records (EHRs).[1][3][5] It serves over 85,000 clinicians across 130+ health systems and provider groups in various specialties and settings, solving the problem of administrative burden—reducing documentation time, burnout (by 90%), and enabling more patient-focused care with 81% improved interactions.[3][5] With strong growth momentum, Nabla processes 30B+ tokens monthly, handles 20M+ patient encounters yearly, supports 35+ languages, and has raised $120M from investors like HV Capital, Highland Europe, and Cathay Innovation, including a recent $70M round amid rising demand for AI clinician tools.[2][3][5]

Origin Story

Nabla was founded in 2018 in Paris, France, by Alex Lebrun (CEO), Delphine Groll (COO), and Martin Raison (CTO), with leadership bolstered by Dr. Ed Lee (Chief Medical Officer, former CIO of The Permanente Federation) and advisors like Yann LeCun (Meta) and Tony Fadell (Build Collective).[1][3] The idea emerged from a mission to empower clinicians through intelligent systems, restoring the human element in healthcare by tackling documentation inefficiencies via AI.[2][3] Early traction built on real-time audio processing and scalable AI pipelines, evolving into a platform used by 20,000+ professionals by 2025, with pivotal expansions like multi-EHR integrations and a $70M raise fueling U.S. growth.[1][3][5]

Core Differentiators

Nabla stands out in the ambient AI scribing market through these key strengths:

• Seamless Multi-EHR Integration: Connects with all major systems (Epic, Cerner, athenahealth, NextGen, etc.) via Nabla Connect—a plug-and-play module for any EHR, enabling instant note generation, real-time coding, and future-proof updates without custom builds.[3][5]
• Advanced Ambient AI Capabilities: Listens to consultations, auto-generates high-quality structured notes, supports dictation and clinical nudges; processes audio in real-time at massive scale (30B+ tokens/month) across 35+ languages and specialties.[1][2][3][5]
• Clinician-Centric Design: Reduces burnout by 90%, boosts patient interactions by 81%; intuitive UI with customizable templates, backed by white-glove support and continuous ML refinements.[2][5]
• Evolving Agentic Platform: Shifting beyond notetaking to adaptive workflows for diverse roles/settings, with proven security and adoption in 130+ organizations.[3][5]

Competitors like Suki and Beam Health offer similar voice AI, but Nabla's broad EHR agnosticism and scale give it an edge.[1]

Role in the Broader Tech Landscape

Nabla rides the AI healthcare revolution, specifically ambient clinical documentation amid clinician shortages and burnout crises, accelerated by post-pandemic digital health adoption.[3][5] Timing is ideal as EHR markets consolidate yet fragment, with AI tools like Nabla enabling smaller vendors to compete via plug-and-play modules—democratizing access and unlocking revenue.[3] Favorable forces include regulatory tailwinds for AI in medicine (e.g., NEJM AI trial validating efficiency gains), surging investor interest (e.g., Cathay's €1B AI fund), and a $70M+ market heating up despite scribing shakeouts.[1][3][5] Nabla influences the ecosystem by partnering with 130+ systems, standardizing AI workflows, and pushing "agentic AI" that leverages clinician expertise, fostering human-centered care at scale.[3][5]

Quick Take & Future Outlook

Nabla is poised to dominate as the go-to ambient AI platform, expanding into full agentic workflows for coding, care coordination, and multi-role support across global health systems.[3] Trends like AI model efficiency, EHR interoperability mandates, and clinician AI adoption (already at 85K users) will propel growth, potentially doubling encounters amid funding waves.[2][5] Its influence may evolve from documentation leader to ecosystem enabler, powering EHR innovations and reducing U.S. healthcare admin costs—ultimately making care more human, as its ambient AI returns time to what clinicians do best.[3][5]