Side-by-side comparison of AI visibility scores, market position, and capabilities
AI clinical copilot. 85K+ clinicians, 130+ organizations. 20M patient interactions/year. Raised $70M Series C. Evolving to Adaptive Agentic Platform. Founded in Paris.
Nabla is a Paris-based clinical AI company founded in 2018 with a mission to reduce the documentation burden that is one of the primary drivers of clinician burnout across health systems globally. The company developed an AI clinical copilot that listens to patient-physician conversations and automatically generates structured clinical notes in the background, allowing clinicians to focus entirely on the patient rather than on documentation. Nabla's core technology applies large language models fine-tuned on medical language and SOAP note structure to produce accurate, editable documentation in real time.\n\nNabla's platform serves more than 85,000 clinicians across 130-plus organizations spanning hospitals, ambulatory practices, and digital health providers. It has facilitated over 20 million patient interactions per year, making it one of the highest-volume ambient AI documentation platforms in the market. The product supports more than 45 medical specialties, with specialty-specific note templates that reflect the distinct documentation requirements of fields ranging from psychiatry to orthopedics. Nabla is evolving its platform toward an Adaptive Agentic architecture, enabling the AI to take actions beyond note-taking — such as ordering follow-ups, drafting referrals, and surfacing clinical decision support.\n\nNabla raised a $70 million Series C to fund US expansion and platform development, following strong adoption in the European market. The company competes in the ambient clinical documentation space alongside Nuance DAX, Suki, and Abridge, but differentiates through its European regulatory expertise, multi-specialty coverage, and its strategic shift toward a full agentic clinical platform. With 20 million annual patient interactions and a clear product roadmap toward autonomous clinical workflow automation, Nabla is well positioned to grow into a broader clinical AI infrastructure role.
Armonk NY hybrid cloud and enterprise AI (NYSE: IBM) at $62.8B revenue; $6B+ generative AI bookings, record $12.7B free cash flow 2024, DataStax acquisition for watsonx vector database competing with Microsoft Azure for enterprise AI.
International Business Machines Corporation (IBM) is an Armonk, New York-based global technology and consulting company — publicly traded on the New York Stock Exchange (NYSE: IBM) as an S&P 500 component — providing hybrid cloud infrastructure, artificial intelligence software, and enterprise IT consulting through approximately 270,300 employees in 170 countries with $62.8 billion in annual revenue. Founded on June 16, 1911, as Computing-Tabulating-Recording Company through a merger orchestrated by financier Charles Ranlett Flint, renamed IBM in 1924 under Thomas Watson Sr., IBM has undergone multiple strategic transformations over its 110+ year history: building the System/360 mainframe platform (1964), launching the IBM PC (1981), selling the PC division to Lenovo (2005, $1.75B), and completing the $34 billion Red Hat acquisition (2019) that repositioned IBM as a hybrid cloud platform company. CEO Arvind Krishna (appointed April 2020) has focused IBM's strategy on three areas: hybrid cloud (powered by Red Hat OpenShift, the enterprise Kubernetes platform), AI (the watsonx platform for enterprise AI model development and deployment), and enterprise consulting. Under Krishna, IBM recorded $12.7 billion in free cash flow in 2024 (a company record), surpassed $6 billion in generative AI bookings since June 2023, and saw the stock price double — trading at all-time highs through 2024-2025. IBM announced the DataStax acquisition in 2025 to deepen watsonx's data layer with AstraDB (vector database for AI applications), DataStax Enterprise (Apache Cassandra), and Langflow (low-code AI agent development).
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