Company Profile
Bayesian Health, Inc. is a US-based clinical AI company and medical device manufacturer, headquartered in 28 Liberty Street, Suite 633, New York, NY 10014, USA, with research roots in Baltimore, Maryland. Founded in 2016 as a Johns Hopkins University spin-off by Dr. Suchi Saria, the company operates as an independent privately-held entity employing 37 people and having raised $40 million in total funding, serving hospitals and health systems across the United States.
Core Products and Technologies
Clinical Intelligence Platform
• TREWS (Targeted Real-Time Early Warning System): Continuous AI platform that monitors every patient, surfaces those needing attention, and guides clinicians to act within existing EHR workflows
• Sepsis Flagging Device: FDA-cleared module providing pre-suspicion continuous screening for sepsis, detecting deterioration up to 48 hours before clinician suspicion
• Multi-Condition Monitoring: Modular agents addressing respiratory failure, cardiac events, and other leading drivers of in-hospital mortality and length of stay
Platform Architecture
• Massively Multimodal Data Integration: Ingests thousands of clinical inputs from EHR and transforms them into clinically meaningful concepts for patient-specific reasoning
• Mixture-of-Experts Data Model: Multiple specialized models plus a routing layer that learns which expert to trust for each patient, preserving early sensitivity while reducing false alerts
• End-to-End Agentic Workflows: Real-time agents inside the EHR showing why a patient is flagged, guiding next steps, coordinating care bundles, and tracking completion
• Monitoring and Governance: Built-in layer tracking real-world performance, drift, and bias across populations and sites, aligned with FDA oversight best practices
Market Position and Certifications
Bayesian Health holds a pioneering position in the continuous clinical AI monitoring market, competing with Mednition and Epic Systems. Key strengths include:
• 10+ years of peer-reviewed health AI research and development heritage
• Pre-Suspicion Screening: First FDA-cleared AI device that monitors for sepsis before clinician suspicion, creating lead time that changes outcomes
• Regulatory compliance: FDA 510(k) cleared (May 12, 2026), prior FDA Breakthrough Device Designation, validated against ISO standards
• Published evidence: Prospective study in Nature Medicine (2022) spanning 764,707 patient encounters across five hospitals with 2,000+ providers
• Global service network: Deployed at leading academic and community health systems with localized implementation support
Corporate Timeline
2016 — Founded as a Johns Hopkins University spin-off by Dr. Suchi Saria to translate lab research into real-world clinical AI
2018 — Completed accelerator programs and early-stage venture financing
2022 — Published prospective validation study in Nature Medicine demonstrating 18% reduction in sepsis mortality and 5.7-hour lead time
2023 — Recognized by TIME, Forbes and the World Economic Forum for clinical AI innovation
2024 — Raised $25 million Series A led by Andreessen Horowitz with participation from the American Medical Association and MemorialCare Innovation Fund
2026 — Received first-ever FDA 510(k) clearance for continuous AI sepsis monitoring on May 12; positioned for CMS NTAP reimbursement beginning October 2026, pending final decision expected early August 2026
Target Markets and Applications
• Hospital Acute Care: TREWS platform for continuous monitoring of medical-surgical floors, emergency departments, and ICUs
• Sepsis Early Detection: Automated flagging and clinical workflow integration to reduce mortality, organ failure, and length of stay
• Health System Quality Initiatives: Enterprise-wide deployment to hardwire proactive care and reduce preventable harm across multiple conditions
Contact Information
Global Headquarters
Address: 28 Liberty Street, Suite 633, New York, NY 10014, USA
Phone: (408) 205-8035
Email: support@bayesianhealth.com
Website: www.bayesianhealth.com
Research Center
Address: Baltimore, Maryland, USA
Johns Hopkins University Affiliation: Technology originated at the JHU Machine Learning and Healthcare Lab
