Innovaccer Partners with NVIDIA to Advance Multimodal AI in Healthcare

The partnership aims to enhance clinical workflows by integrating NVIDIA’s full-stack AI platform, which includes NeMo Guardrails, NeMo Framework, Riva Parakeet NIM, Triton Inference Server, and TensorRT-LLM.

Innovaccer Inc. announced a collaboration with NVIDIA to accelerate the use of multimodal artificial intelligence (AI) across healthcare systems.

The partnership aims to enhance clinical workflows by integrating NVIDIA’s full-stack AI platform, which includes NeMo Guardrails, NeMo Framework, Riva Parakeet NIM, Triton Inference Server, and TensorRT-LLM.

The integration, deployed on GPU-powered AWS and virtual private cloud environments, is designed to improve scalability, safety, and performance across Innovaccer’s generative AI initiatives. The combined technologies will enable healthcare organizations to leverage multimodal data—speech, text, and clinical information—more effectively for better operational outcomes.

According to Innovaccer, the collaboration centers on three primary areas: audio AI for real-time speech recognition supporting products like Access Center Copilot; optical character recognition (OCR) for document understanding and note generation through the InNote product; and the training and optimization of proprietary models using NVIDIA’s GPU infrastructure to strengthen performance and scalability.

“Healthcare is entering an era where AI must be able to listen, interpret, and act with precision to deliver better outcomes,” said Abhinav Shashank, Co-founder and CEO of Innovaccer. “Our collaboration with NVIDIA strengthens our ability to build responsible, domain-specific AI, which, when combined with our unified healthcare data platform, can drive meaningful improvements in outcomes and efficiencies.”

The partnership will also support Innovaccer’s broader AI strategy, including its Agents of Care™—AI-driven tools designed to automate low-value or repetitive tasks that often burden care teams. NVIDIA’s accelerated computing technology will help these systems process multimodal data efficiently, offering real-time support in clinical environments.

“Together, NVIDIA and Innovaccer are defining a new frontier for healthcare AI,” Shashank added. “This collaboration helps us bring real intelligence into every workflow, giving healthcare organizations the tools to deliver more connected, efficient, and human-centered care.”

Trent Norris, Global Head of Business Development for Digital Health at NVIDIA, said, “Healthcare data is inherently multimodal and deeply contextual. By adopting NVIDIA’s acceleration libraries and platform, speech frameworks, and pre-trained models, Innovaccer is standing up production-ready systems that reason across speech, text, and clinical data in real time. This isn’t just experimentation—it’s healthcare AI being operationalized at scale.”

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