Moberg Analytics
Moberg Analytics is pioneering the future of neuromonitoring with the first and only AI Ecosystem for neurocritical care. The company leverages AI, machine learning, and next-gen analytics to enhance patient care and data management in neurocritical settings, focusing on traumatic brain injury (TBI) and other neurological conditions.
Industries
N/A
Nr. of Employees
small (1-50)
Products
Multimodal data platform for neurocritical care research
A platform to archive, harmonize, annotate, analyze, and export high-resolution neurophysiology datasets for research and multicenter trials, with programmatic access for analytics and reproducible workflows.
Moberg Clinical Platform (MCP)
An advanced patient monitoring and informatics system that enables precision medicine for critically ill patients by aggregating high-resolution patient data from multiple disparate devices into one unified source in near real-time at the bedside.
Moberg CNS Monitor
A dedicated patient monitor for brain activity and integrated neuromonitoring in critical care, consolidating data from various brain monitors into a single device for nurses' ease. Offers high-resolution data collection and correlation visualization, standard in traumatic brain injury trials and preferred for monitoring spreading depolarizations.
MCP Data Aggregator
Automatically brings together data from all bedside devices into a single, synchronized stream, enabling real-time insight, smoother collaboration, and more confident clinical decisions tailored to each unit’s unique setup.
Neurotrac II®
Flagship product of Moberg Medical introducing multimodal brain function monitoring combining EEG, evoked potentials, and transcranial Doppler ultrasound. Among the first to introduce continuous EEG monitoring in critical care, recognized as the easiest EEG monitor to use by anesthesia and critical care personnel.
MCP Patient Dashboard
Provides a comprehensive, real-time view of the patient’s brain and body, empowering the care team to detect deterioration earlier, individualize treatment, and optimize outcomes by integrating advanced analytics directly into the bedside display.
Multimodal data platform for neurocritical care research
A platform to archive, harmonize, annotate, analyze, and export high-resolution neurophysiology datasets for research and multicenter trials, with programmatic access for analytics and reproducible workflows.
Moberg Clinical Platform (MCP)
An advanced patient monitoring and informatics system that enables precision medicine for critically ill patients by aggregating high-resolution patient data from multiple disparate devices into one unified source in near real-time at the bedside.
Moberg CNS Monitor
A dedicated patient monitor for brain activity and integrated neuromonitoring in critical care, consolidating data from various brain monitors into a single device for nurses' ease. Offers high-resolution data collection and correlation visualization, standard in traumatic brain injury trials and preferred for monitoring spreading depolarizations.
MCP Data Aggregator
Automatically brings together data from all bedside devices into a single, synchronized stream, enabling real-time insight, smoother collaboration, and more confident clinical decisions tailored to each unit’s unique setup.
Neurotrac II®
Flagship product of Moberg Medical introducing multimodal brain function monitoring combining EEG, evoked potentials, and transcranial Doppler ultrasound. Among the first to introduce continuous EEG monitoring in critical care, recognized as the easiest EEG monitor to use by anesthesia and critical care personnel.
MCP Patient Dashboard
Provides a comprehensive, real-time view of the patient’s brain and body, empowering the care team to detect deterioration earlier, individualize treatment, and optimize outcomes by integrating advanced analytics directly into the bedside display.
Services
A clinical software system that ingests and harmonizes high-resolution physiologic signals from bedside devices to serve as a neuro-focused patient monitor, integrated brain record, and dashboard for neurointensive care.
A cloud environment for secure upload, centralized management, annotation, collaborative analysis, and export of multimodal neurophysiology data to support research studies and multi-center clinical trials.
A mobile application that standardizes acute brain-injury assessments, captures vital signs and structured notes, provides protocol-based action recommendations, and exports structured clinical records for handoff and telemedicine.
A research program to passively collect prehospital sensor data (video, audio, motion) and develop ML pipelines that auto-generate standardized casualty care documentation and support triage and logistics.
Recurring webinar series and archived resources that provide case studies, sample code, and notebooks covering data handling, feature engineering, model training, and visualization for neurocritical-care analytics.
A formal vulnerability disclosure policy and response process that accepts reports, triages security issues, provides expected response timelines, and communicates patches and mitigation guidance to customers.
A clinical software system that ingests and harmonizes high-resolution physiologic signals from bedside devices to serve as a neuro-focused patient monitor, integrated brain record, and dashboard for neurointensive care.
A cloud environment for secure upload, centralized management, annotation, collaborative analysis, and export of multimodal neurophysiology data to support research studies and multi-center clinical trials.
A mobile application that standardizes acute brain-injury assessments, captures vital signs and structured notes, provides protocol-based action recommendations, and exports structured clinical records for handoff and telemedicine.
A research program to passively collect prehospital sensor data (video, audio, motion) and develop ML pipelines that auto-generate standardized casualty care documentation and support triage and logistics.
Recurring webinar series and archived resources that provide case studies, sample code, and notebooks covering data handling, feature engineering, model training, and visualization for neurocritical-care analytics.
A formal vulnerability disclosure policy and response process that accepts reports, triages security issues, provides expected response timelines, and communicates patches and mitigation guidance to customers.
Expertise Areas
- Multimodal neuromonitoring and bedside data acquisition
- Cloud-based clinical data management and governance
- Data harmonization and device interoperability
- AI and machine learning for physiologic time-series prediction
Key Technologies
- Continuous EEG acquisition and qEEG pipelines
- Time-series machine learning and foundation models
- Autoregulation and physiologic index algorithms (PRx, CPPopt-style methods)
- Cloud storage with HIPAA/GDPR-aligned controls
News & Updates
Connect with our team at ANIM 2025 in Berlin, Germany from January 30 to February 1, 2025.
Join us at the SCCM 2025 Critical Care Congress in Orlando, Florida from February 23 to 25, 2025.
Attend the ACNS 2025 Annual Meeting in Baltimore, Maryland from February 27 to March 2, 2025.
The Department of Defense’s leading scientific conference focused on addressing the unique medical needs of military personnel, held in Kissimmee, FL from August 26-29, 2024.
The 16th annual meeting of the INTS, covering topics related to brain injury, held in Cambridge, UK from September 2-5, 2024.
A study evaluating a foundation model for time series to predict ICP changes in TBI patients.
Connect with our team at ANIM 2025 in Berlin, Germany from January 30 to February 1, 2025.
Join us at the SCCM 2025 Critical Care Congress in Orlando, Florida from February 23 to 25, 2025.
Attend the ACNS 2025 Annual Meeting in Baltimore, Maryland from February 27 to March 2, 2025.
The Department of Defense’s leading scientific conference focused on addressing the unique medical needs of military personnel, held in Kissimmee, FL from August 26-29, 2024.
The 16th annual meeting of the INTS, covering topics related to brain injury, held in Cambridge, UK from September 2-5, 2024.
A study evaluating a foundation model for time series to predict ICP changes in TBI patients.