Muse Health
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About
Muse Health is a comprehensive neurotechnology platform that bridges the gap between high-fidelity EEG data collection and actionable health insights through artificial intelligence. By integrating portable EEG hardware with advanced AI-driven brain models, the platform enables the monitoring of mental, emotional, and physical health in real-world settings. It leverages a decade of optimization and a massive database of over one billion minutes of brain activity to provide a clinical-grade solution that is both scalable and precise, moving beyond traditional lab-based constraints. The core of the technology lies in its ability to perform real-time neurofeedback and longitudinal monitoring. Users can access advanced AI analytics that decode complex EEG signals into specific biomarkers, such as Alpha Peak and Brain Recharge metrics. The system also includes the Athena platform, which specifically supports in-home sleep trials and clinical research with multimodal metrics. With a validated sleep staging Cohen’s Kappa of 0.76, the tool offers a reliable alternative for sleep diagnostics and the study of conditions like long COVID, migraines, and cognitive aging. This platform is primarily designed for B2B stakeholders including academic researchers, healthcare providers, and biopharmaceutical companies. For researchers, it offers a cost-effective way to gather large-scale brain data; for clinicians, it provides personalized insights to enhance therapeutic interventions. The availability of SDK access and integration support allows organizations to build custom products or embed Muse's neural sensing capabilities into existing health ecosystems. What distinguishes Muse Health is its foundation in large-scale normative data and its extensive history of academic collaboration with institutions like Harvard, MIT, and NASA. Unlike standard consumer-grade wearables, Muse Health focuses on clinical applications and research-grade technical specifications. This unique combination of a vibrant user community and rigorous scientific validation makes it a primary choice for organizations looking to pioneer new treatments or diagnostic tools for brain-related disorders.
Pros & Cons
Validated sleep staging accuracy with a Cohen’s Kappa of 0.76.
Access to a massive database of over 1 billion minutes of EEG data.
Portable and cost-effective compared to traditional clinical EEG setups.
Supported by research from top-tier institutions like MIT, Yale, and Harvard.
Provides both real-time feedback and long-term longitudinal monitoring.
Pricing is not transparent and requires direct contact with the sales team.
Full access to advanced SDKs and datasets requires a B2B partnership.
Focus is primarily on clinical and research use rather than general consumer software.
Use Cases
Sleep researchers can use AI-powered EEG technology to conduct large-scale, in-home sleep trials with validated staging and diagnostic insights.
Biopharma companies can leverage longitudinal brain monitoring to track the efficacy of new neurological drugs during clinical development.
Academic researchers can collect precise brain activity data for large populations at a lower cost than laboratory-based EEG systems.
Healthcare providers can integrate real-time neurofeedback into therapeutic sessions to offer personalized treatment for mental health patients.
Clinical trial managers can utilize the Athena platform to monitor multimodal metrics remotely for studies on cognitive aging and migraines.
Platform
Features
• ai-driven brain models
• longitudinal monitoring
• real-time neurofeedback
• normative eeg database
• athena research platform
• sdk access
• sleep staging validation
• portable eeg hardware
FAQs
What kind of validation does Muse Health have for sleep research?
Muse Health features a sleep staging validation score of 0.76 (Cohen's Kappa). This level of accuracy ensures that the AI-powered EEG technology provides reliable data for diagnosing sleep disorders and conducting complex clinical sleep trials.
Can I integrate Muse's EEG data into my own software?
Yes, Muse Health provides SDK access and dedicated integration support for organizations. Potential partners can connect with their B2B team to discuss specific technical requirements and custom study support for their applications.
What types of conditions can be studied using the Muse platform?
The platform supports research into various areas, including long COVID, migraines, cognitive aging, and general sleep diagnostics. It uses AI-driven biomarkers like Alpha Peak and Brain Recharge to offer specific, actionable health insights.
How does Muse compare to traditional clinical EEG equipment?
Muse offers a portable and more cost-effective solution while maintaining clinical-grade technical specifications. It leverages a massive normative database of over 1 billion minutes of data to ensure precision across diverse populations.
Pricing Plans
B2B Solutions
Unknown Price• AI-driven sleep insights
• Biomarker discovery
• SDK access
• Integration support
• Clinical study support
• Normative database access
• Real-time neurofeedback
• Longitudinal monitoring
• Athena platform access
Job Opportunities
Android Developer (Remote - 6-mo contract)
Revolutionize brain and sleep health research using AI-powered EEG technology to capture clinical-grade data for diagnostics, drug development, and patient care.
Education Requirements:
A degree in Computer Science or a related field
Experience Requirements:
4+ years of experience building, maintaining, and shipping Android apps
Strong proficiency in Kotlin, Android architecture patterns (MVVM), and reactive state programming
Other Requirements:
Familiarity with Git, CI/CD workflows, and Agile development
Experience with Firebase, Firestore, Crashlytics, or Fastlane
Exposure to real-time data processing or hardware-integrated Android apps
A published app in Google Play
Responsibilities:
Build and maintain features using Kotlin, MVVM, and either XML-based UI or Jetpack Compose
Contribute to the migration from RxJava + LiveData to Kotlin Flow + StateFlow + Jetpack Compose
Help define architecture improvements with long-term maintainability in mind
Collaborate with cross-functional teams to ship clean, high-performance code
Optimize app performance and memory usage
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Cloud Ops Developer (Remote - Brazil- 6-mo contract)
Revolutionize brain and sleep health research using AI-powered EEG technology to capture clinical-grade data for diagnostics, drug development, and patient care.
Experience Requirements:
3+ years of experience as a Software Engineer or DevOps/CloudOps Engineer
3 years of hands-on experience in cloud environment (GCP preferred) in a production environment
1+ year of hands-on experience in of one or more programming languages (Python, Go, Javascript)
Other Requirements:
Knowledge of GCP cloud tools, Docker, Kubernetes, Scripting and programming languages, CircleCI, Airflow
Strong communication and collaboration skills
Understanding of scalable systems and high-availability distributed systems
Responsibilities:
Develop, deploy, and manage cloud infrastructure on Google Cloud platforms
Automate and streamline deployment, configuration, and monitoring processes
Manage and maintain CI/CD pipelines to ensure continuous integration and delivery
Implement and maintain infrastructure as code (IaC) using tools like Terraform or Ansible
Manage containerization and orchestration technologies for application deployment
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Ratings & Reviews
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