Nabla Copilot

Nabla Copilot is an advanced ambient AI medical assistant engineered to eliminate the heavy administrative burden of manual charting for healthcare providers. By operating quietly via a device's microphone during an in-person or telehealth visit, Nabla listens to natural doctor-patient dialogue. It uses domain-specific machine learning models to automatically strip away everyday chitchat and generate highly structured, accurate clinical notes (such as SOAP notes) within seconds of finishing a consultation.

Nabla focuses heavily on flexibility, allowing care teams to tailor outputs to match their precise documenting habits:

Specialty Fine-Tuning: Supports over 55 distinct medical specialties (such as pediatrics, cardiology, orthopedics, and mental health), adjusting clinical phrasing and formatting guidelines to match that field's standard style.

Multi-Language Comprehension: Natively understands and translates conversations happening in over 35 global languages and regional dialects.

Personalization Prompts: Clinicians can save personalized structural preferences (e.g., instructing the AI to always use bullet points for specific headings or to generate simplified, jargon-free summary notes to share directly with patients).

Rather than forcing providers to rely on repetitive copy-pasting, Nabla features a diverse, multi-tiered Electronic Health Record (EHR) integration strategy that scales from individual practices to massive health networks:

Front-End Extension (Nabla Assistant): Uses a native browser extension to inject an "Export to EHR" button directly inside a web-based EMR chart, automatically filling out text fields using localized JavaScript window events.

Back-End Integration (Nabla Core API): A deeply integrated server-side API layout designed for mobile, desktop, or proprietary telehealth software.

Nabla Connect: A plug-and-play white-label module that allows software vendors to quickly embed Nabla's complete ambient documentation engine natively into their own medical systems.

Nabla maintains a strict privacy-first data framework optimized for global medical compliance under regulations like HIPAA and GDPR. The application does not store audio recordings, transcripts, or finalized clinical text on its servers after processing. Transcriptions and initial text parsing occur instantly, and the underlying AI architecture is structurally locked to prevent patient interaction data from ever being used to train external, public large language models.