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Nabla Tech Stack

Clinical AI for ambient documentation and EHR workflow automation

Hospitals and Health Care New York 51–200 employees Founded 2018 Partnership
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Nabla builds an AI assistant for clinicians that generates clinical notes in real-time and automates coding and documentation tasks across EHRs. The stack spans TypeScript, React, Python, PyTorch, and GCP—grounded in modern ML infrastructure (Slurm, BigQuery, dbt)—with native support for audio (Swift, Kotlin, C++) suggesting heavy investment in ambient capture and dictation. Active projects center on back-end architecture, real-time audio processing, and EHR integrations; hiring remains engineering-heavy while ramping sales and partnerships, indicating a shift from product-led adoption toward health-system distribution.

Tech Stack 29 technologies

Core StackTypeScript React Tailwind CSS Swift Rust Kotlin Java GraphQL PostgreSQL Python PyTorch Terraform Kubernetes Go C++ Slack Mixpanel Looker BigQuery dbt HubSpot Ashby Electron Slurm GCP Capacitor Linear PointClickCare Dataform

What Nabla Is Building

◆Challenges

  • Complex integrations with ehr systems
  • Streamlining clinical and financial workflows
  • Streamlining clinical documentation
  • Scaling ai-driven healthcare platform
  • Optimizing back-end architecture
  • Retention and growth
  • Reducing external legal costs
  • Transitioning from competitor solutions
  • Driving revenue through partnerships
  • Technical integration challenges

▲Active Projects

  • Next generation of clinical ai
  • Back-end architecture optimization
  • Ai-driven healthcare platform scaling
  • Ehr integration
  • Pilot program implementation
  • Standard contract templates
  • Future expansion roadmap
  • Integration implementation for health system customers
  • Audio app setup
  • Real-time clinical audio stack

Hiring Activity

Accelerating15 roles · 10 in 30d

Department

Engineering
6
Support
6
Sales
2
Finance
1
Legal
1
Marketing
1

Seniority

Senior
8
Mid
3
Director
2
Manager
2
Lead
1
VP
1

Notable leadership hires: Partnership Director

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About Nabla

Nabla is a clinical AI platform deployed across over 130 health systems and provider groups in the United States. Founded in 2018, the company operates from New York with 51–200 employees. The product integrates with major EHR systems, supports 35+ languages, and provides ambient documentation, dictation, and real-time coding support to reduce clinician documentation burden. The platform is evolving toward an agentic architecture capable of proactive EHR actions and expansion into new care settings and clinical roles. Nabla's founding team includes CEO Alex LeBrun, COO Delphine Groll, and CTO Martin Raison, with Dr. Ed Lee (former CIO of The Permanente Federation) serving as Chief Medical Officer.

HeadquartersNew York
Company Size51–200 employees
Founded2018
Hiring MarketsCanada, France

Frequently Asked Questions

What tech stack does Nabla use?

Nabla's core stack includes TypeScript, React, Python, PyTorch, PostgreSQL, GCP, Kubernetes, and Terraform for backend services. Audio capture relies on Swift and Kotlin. ML infrastructure includes Slurm and BigQuery; analytics uses Looker, dbt, and Dataform.

How many health systems use Nabla?

Nabla's clinical AI assistant is deployed across over 130 health systems and provider groups, supporting clinicians across multiple care settings and specialties.

How this profile is built

Nabla's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.