Limbix (by BigHealth)
Evidence-based digital therapeutics for adolescent mental health and behavioral activation.
The first safety-focused, clinician-validated Large Language Model designed for universal healthcare access.
Hippocratic AI is a specialized Large Language Model (LLM) architected specifically for the healthcare sector, prioritizing safety and clinical accuracy above general-purpose capabilities. Unlike general LLMs, Hippocratic AI is fine-tuned on a massive corpus of medical textbooks, peer-reviewed journals, and clinical protocols, outperforming GPT-4 on over 100 medical benchmarks as of late 2024. Its 2026 market position is defined by its 'Generative AI Nurses'—autonomous agents capable of handling non-diagnostic patient-facing tasks such as chronic care management, post-discharge follow-ups, and medication adherence. The technical architecture employs a dual-layer safety system: a primary clinical LLM and a secondary 'Safety LLM' that monitors outputs for medical errors or non-compliant advice. By operating at a significantly lower cost basis than human staffing—approximately $9 per hour—Hippocratic AI addresses the global healthcare worker shortage while maintaining a sub-500ms latency for natural, empathetic voice interactions. The platform is designed for deep integration into Health Information Exchanges (HIEs) and Electronic Health Records (EHRs) via FHIR APIs, ensuring that all interactions are grounded in a patient's actual medical history.
Reinforcement Learning from Human Feedback specifically conducted by licensed physicians and nurses rather than general crowdsourcing.
Evidence-based digital therapeutics for adolescent mental health and behavioral activation.
Predictive clinical and operational intelligence to fight death and waste in healthcare.
Predictive medical data and clinical insights for streamlined enterprise underwriting.
The professional medical network for clinicians, providing HIPAA-compliant AI and telehealth solutions.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Proprietary streaming architecture that enables voice-to-voice interaction in under 500ms.
Standardized data exchange using Fast Healthcare Interoperability Resources (FHIR) to read/write to Epic and Cerner.
A secondary monitoring model that checks every response against medical protocols before it is voiced to the patient.
Support for 20+ languages with specific medical terminology translation that preserves clinical intent.
Voice synthesis models trained on empathetic nursing interactions to deliver soft, reassuring tones.
Custom model architecture that outperforms GPT-4 on USMLE and other professional medical exams.
Human staff cannot call every patient daily to check for signs of infection or clot.
Registry Updated:2/7/2026
Patients often forget to track weight daily, leading to emergency re-admissions.
Discharge medication lists often conflict with home medications.