Customer Service Automation
Hippocratic AI needed to scale safe, empathetic patient outreach and follow-up without adding clinician workload, but real-time voice inference, safety review, and HIPAA-sensitive operations created demanding latency and infrastructure constraints.
Reported impact
Hippocratic AI enabled clinicians to publish more than 300 validated agents across 25 specialties, contacted 100,000 patients in a single day during a hurricane, and created a low-latency outreach platform that helps relieve burnout while scaling preventative and follow-up care.
Hippocratic AI built a patient-engagement platform and AI Agent App Store around a safety-first inference stack rather than a single monolithic model. Clinician-authored scripts are validated through licensure checks, development testing, and clinical review, then deployed as voice agents for workflows such as postpartum monitoring, wound care, diabetes screening, and emergency outreach. At runtime, the company's Polaris constellation uses more than 25 task-specific language models together with a 400B speaking model and supervising models to keep conversations safe and empathetic. Those models run on NVIDIA H200 Tensor Core GPUs through Amazon SageMaker HyperPod, while TensorRT-LLM lowers latency and cost so thousands of real-time patient interactions can be served inside a multi-account, multi-cluster AWS architecture that separates production and development for privacy and control.
Clinicians author scripts that pass through validation and clinical review before deployment. During patient calls, voice interactions are processed by the Polaris model constellation on H200 GPUs through SageMaker HyperPod, TensorRT-LLM accelerates inference, and the resulting responses are delivered back in real time through the patient-engagement platform.
Hippocratic AI leverages TensorRT-LLM to optimize its Polaris constellation of models, making them faster, smaller, and more efficient.
Scales Preventative Care: Enables large-scale patient outreach for preventative care, as demonstrated by contacting 100,000 patients in one day during an emergency.
The App Store debuts with over 300 AI agents spanning 25 medical specialties.
These models-totaling over a trillion parameters-run on NVIDIA H200 Tensor Core GPUs using Amazon SageMaker HyperPod, delivering ultra-low latency and deeply empathetic conversations.
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Scoring methodology
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Traceability
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