Abridge and Nvidia build foundation model for clinical intelligence from real doctor visits

Abridge Transforms Ambient AI Into an Operating System for Medicine

Abridge announced a strategic shift that positions ambient AI as far more than a documentation tool. The startup unveiled what it calls the first AI-native clinician intelligence platform—a system that captures doctor-patient conversations and uses them as the foundation for billing, clinical decision support, payer adjudication, and pharmaceutical trial screening 1

1

. More than 300 health systems, including Northwestern Medicine, Emory Healthcare, and Johns Hopkins, are already live on the platform, supporting upward of 100 million clinical conversations annually and serving more than 250 million patients 1

1

.

The platform captures conversation between patients and doctors in real time and automatically generates clinical notes, billing codes, and patient summaries before the physician leaves the hallway 1

1

. Before the visit, Abridge surfaces care gaps and prior clinical context. During the encounter, the technology suggests discussion topics and surfaces relevant clinical guidelines without requiring physicians to switch applications. After the visit, it generates documentation, flowsheets, and orders—all grounded in the actual words spoken 1

1

.

Nvidia and Abridge Co-Develop Foundation Model for Clinical Conversations

Nvidia announced it is co-developing with Abridge the first foundation model for clinical conversations—an AI model trained on the specific dynamics of doctor-patient dialogue, not a general large language model adapted for AI for medicine 1

1

. The model will use Nvidia Nemotron open models and will run exclusively within Abridge's platform, expected to launch later this year 3

3

.

The deal gives Nvidia access to a large set of real physician-patient conversations recorded inside hospital settings 2

2

. Abridge operates across 100 health systems, including Kaiser Permanente, Mayo Clinic, Johns Hopkins, and Yale New Haven Health. Private market research platform Sacra found that Kaiser Permanente alone has deployed the platform to 24,600 physicians across 40 hospitals and 600 clinics 2

2

.

Abridge CEO Shiv Rao told the Wall Street Journal that "generic models are powerful, but clinical intelligence—it still has to be trained, it has to be shaped, and it has to be evaluated against real-world conditions" 2

2

. AI models trained on published medical literature miss what happens in the room, while doctor-patient conversations carry treatment options weighed aloud and patient history surfaced before it reaches the chart 2

2

.

Eli Lilly Investment Targets Clinical Trial Enrollment

Eli Lilly made a strategic investment in Abridge, tracking closely with its own AI ambitions 1

1

. The pharma giant is simultaneously building what it has called the industry's most powerful AI supercomputer in partnership with Nvidia, and Abridge's new life sciences module can surface clinical trial eligibility from within the clinical conversation itself 1

1

. This represents the kind of patient-facing pipeline Lilly needs to accelerate clinical trial enrollment for next-generation therapies and advance drug discovery efforts 1

1

.

"For us, the most important first priority that we would love to explore, that we are working to explore with them, is around clinical trials," Rao said 1

1

.

Regulatory Compliance and Data Security Shape Development

Using conversational data from healthcare AI carries obligations that don't apply to other AI training sets. Censinet reported in February that healthcare data breaches affected over half the U.S. population in 2024 2

2

. While Abridge trains on data with patient identifiers removed, researchers found that stripped records "remain statistically tethered to identity through the very correlations that confirm their clinical utility" 2

2

.

Several states now require explicit consent before AI systems can record and process clinical encounters, adding another layer of regulatory compliance 2

2

. The American Bar Association reported that legal challenges around ambient scribes are reshaping what vendor contracts must cover when patient conversations become training data 2

2

. Running the AI transcription model on Abridge's own hardware rather than outside cloud services limits how far patient data travels and cuts costs 2

2

.

Market Position and Competition in Generative AI in Healthcare

Abridge has raised approximately $1.1 billion to date, most recently closing a $316 million Series E extension in April 2026 at a $5.3 billion valuation 1

1

. NVentures, Nvidia's venture arm, has participated in multiple Abridge funding rounds 2

2

.

The ambient clinical intelligence market Abridge is chasing was valued at $7.24 billion in 2025 and is projected to reach $56.61 billion by 2035 1

1

. Microsoft, which acquired speech-recognition company Nuance for $19.7 billion in 2022, is the dominant enterprise incumbent. Ambience Healthcare, Suki, and Nabla are all well-capitalized challengers, but the field is expected to consolidate within the next 12 to 18 months 1

1

.