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Nabla announced a $24 million Series B on January 5, 2024, to expand its AI clinical-documentation product and accelerate its U.S. rollout. The round, led by Cathay Innovation with participation from ZEBOX Ventures, brought the company’s disclosed funding to about $44.6 million at the time. Nabla Copilot was principally an ambient medical scribe: it turned clinician-patient conversations into draft notes for clinicians to review, not an autonomous doctor making diagnoses or treatment decisions.
What Nabla raised in January 2024
The $24 million Series B was announced on January 5, 2024. Nabla said the round was led by Cathay Innovation, with ZEBOX Ventures participating, and that its total funding had reached approximately $44.6 million. The company said it would use the money to expand its offering, add language options, develop its ambient assistant, and speed its U.S. market rollout. Nabla’s announcement and VentureBeat’s contemporaneous coverage describe the round and intended uses.
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The “transform medical consultations” phrasing was promotional. The substantiated ambition was narrower: reduce the time clinicians spend producing documentation and let them focus more attention on the patient. Funding an effort to address that problem did not, by itself, demonstrate better clinical outcomes.
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What the 2024 Copilot did
Nabla Copilot was an ambient documentation assistant, accessed in 2024 through a web app or Chrome extension. It listened to a consultation, converted speech to text, summarized the encounter into a draft clinical note, and left the clinician to review and edit that draft before copying or filing it in the electronic health record (EHR). It was not described as independently diagnosing patients, authorizing treatment, or replacing clinical judgment. VentureBeat’s report describes the product and workflow.
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- The clinician opened Copilot in the web app or Chrome extension.
- The tool listened to the patient encounter and generated a transcript.
- Language models summarized the conversation into a structured draft note.
- The clinician checked and edited the note, then transferred it to the EHR.
The 2024 account described a pipeline using Microsoft speech-to-text technology, a fine-tuned Whisper model, and GPT-series models for summarization. It also described masking personally identifiable information before LLM processing and restoring it afterward. Those are historical implementation details, not confirmation of Nabla’s exact 2026 architecture.
What the early adoption figures do—and do not—show
In the 2024 coverage, Nabla said more than 20,000 providers had adopted Copilot within roughly 10 months of launch and projected that it would reach three million consultations. The latter was an expectation, not a verified count of completed consultations. Nabla also said about 5% of notes required adjustments. That figure does not establish that the other 95% were clinically perfect: the report does not define what qualified as an adjustment or establish its clinical importance, specialties covered, or evaluation method. VentureBeat reported these company figures.
The same report included a user testimonial describing documentation work falling from roughly eight to ten hours to three to four hours. That is an individual report, not a controlled estimate of typical time saved. Nabla later published a white paper describing expert, side-by-side assessment of candidate note-generation systems against its production system, including whether symptoms, problems, concerns, and relevant history were captured. The methodology is useful context for how the company evaluates documentation, but it does not establish a general accuracy rate. Nabla’s white paper.
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Clinicians may spend substantial time writing notes during and after visits. The 2024 VentureBeat story cited an estimate that physicians could spend up to 40% of their day on documentation; treat that as an attributed estimate, not a universal measurement for every physician or setting. A tool that reduces typing could improve the visit experience or reduce after-hours administrative work, but those benefits depend on whether its drafts are accurate and whether it fits the clinic’s workflow.
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For a health system, transcription alone is not enough to establish value. Buyers need to measure note quality, clinician editing time, EHR integration effort, training and support, and whether recovered time produces additional capacity or simply less after-hours work. They also need to assess how the tool handles medications, dosages, negations, chronology, specialty-specific formats, patient instructions, and any downstream actions. A plausible-sounding but incorrect detail can be more dangerous than an obvious transcription error.
Privacy, consent, and clinical review
Consent depends on the setting
Using an ambient tool in a medical visit raises consent and recording questions as well as software questions. Nabla’s support guidance says patient consent before using ambient scribing is required in most U.S. states, but the exact obligation can vary with state law, encounter type, and organizational policy. Clinics should have legal and compliance staff determine how consent is obtained and documented, what happens when a patient declines, and how clinicians can complete the visit without the tool. Nabla’s patient-consent guidance.
Extra care may be warranted when visits involve children, caregivers, interpreters, multiple speakers, or sensitive subjects such as behavioral health, reproductive health, or domestic violence. A patient who feels recorded may withhold information, and consent should not be treated as a box that automatically resolves those concerns.
Retention statements changed over time
The 2024 report said audio and summarized notes were not stored unless consented to. Current Nabla documentation instead says audio is not stored by default and that clinical notes may be retained for a short period—commonly 14 days, configurable by client and geography. Those statements refer to different points in time and should not be collapsed into a blanket claim that no data is ever retained. The actual arrangement depends on the deployment and contract. See Nabla’s current HIPAA and retention description, data-retention policy, and Trust Center.
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Nabla says feedback submissions may include encrypted, PHI-redacted and anonymized transcripts and notes. That is distinct from claiming that data never leaves a clinician’s environment. Organizations should ask what information is processed for support or quality improvement and how it is protected. Nabla’s feedback guidance and its PHI-redaction statement describe this handling.
Review remains essential
Ambient systems can mishear drug names or dosages, assign words to the wrong speaker, omit a negation, confuse past and current symptoms, or miss details in a noisy room. Accents, code-switching, interpreters, multiple speakers, and exam findings can also complicate capture. Clinicians should verify the draft before it becomes part of the medical record; the 5% adjustment claim is not a reason to bypass that review.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What changed by 2026
Nabla’s company materials say it raised a $70 million Series C in June 2025, bringing its stated total funding to $120 million. That later financing makes the $44.6 million figure a historical total at the time of the Series B, not the company’s current disclosed total. Nabla’s company materials.
As of Nabla’s current product documentation, the assistant supports more than 30 languages and can be accessed through a desktop web app, iOS and Android apps, and a Chrome extension. The company’s help page was updated June 29, 2026. These current capabilities should not be projected backward onto the 2024 product, which the contemporaneous report described as supporting English, Spanish, and French through web and browser-extension access. Nabla’s current product overview.
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Nabla lists HIPAA, GDPR, SOC 2, ISO 27001, and other security or compliance controls. These are vendor-documented claims, not a substitute for assessing the applicable region, configuration, contract, business-associate terms, and reports required by a particular healthcare organization. The Trust Center describes items including U.S. data storage for U.S.-based clients, Google Cloud infrastructure, Azure speech-to-text operations in U.S. regions, encryption, and enterprise controls. Nabla Trust Center.
Questions a clinic or health system should ask before adopting an AI scribe
- What does the consent process look like, and can the patient or clinician decline without disrupting care?
- How long are audio, transcripts, and notes retained in this specific deployment, and who can configure or access them?
- Which EHRs and workflows are supported, and what implementation work, single sign-on, audit logs, or administrative controls are available?
- What evaluation evidence is available for the clinic’s specialties, languages, accents, and use of interpreters?
- How much clinician editing is needed, and how are medication, dosage, negation, and speaker-attribution errors tracked?
- What are the subscription, implementation, integration, training, and support costs, and how will the organization measure the value of time recovered?
- What contractual terms, including business-associate obligations, data residency, retention, and downtime procedures, apply to the deployment?
Nabla is one option in a growing enterprise market. For example, Abridge describes a platform centered on health-system deployment, EHR workflow integration, links from draft documentation to source conversation, and workflows beyond clinician notes. Product scope and fit should be checked directly rather than inferred from the label “AI scribe.” Abridge’s product overview and clinician platform.
Nabla does not publish a public rate card in the inspected official materials; its buying path is organization- and contact-oriented. That makes a realistic cost comparison dependent on a quote and the clinic’s implementation requirements. Nabla’s official site.
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