Nabla builds clinical AI that documents patient encounters and supports care workflows inside the EHR. Its stack spans Swift, Kotlin, Electron and Capacitor alongside PyTorch and Slurm, pointing to one product shipped across mobile, desktop and browser surfaces backed by in-house model training. Accelerating, senior-weighted hiring plus new Sales and Partnership Director roles signal a push from product build toward partner-led distribution, including France.
Notable leadership hires: Sales Director, Partnership Director
Nabla is a New York-headquartered healthtech company founded in 2018 with 51–200 employees. It provides AI tools for clinicians that started with ambient clinical documentation and now extend to wider workflows before, during and after patient visits. The product integrates with electronic health record systems and is designed to work across medical specialties and languages. The company hires across the United States, Canada and France, with teams spanning engineering, product, marketing, sales, design and finance.
Nabla uses TypeScript, React, Tailwind CSS, Swift, Kotlin, Rust, Electron, Python, PyTorch, Slurm, GraphQL, Terraform, plus GCP, AWS and Azure, with BigQuery, dbt and Looker for analytics.
Nabla is hiring in the United States, Canada and France, with hiring velocity accelerating and most openings at senior level, concentrated in engineering and product.
Nabla is building a next-generation clinical AI platform, deepening EHR integration, scaling its apps across web, mobile and desktop, and running an ambient speech-to-text team.
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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.
