Shen AI
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About
Shen AI is a health monitoring platform that utilizes remote photoplethysmography (rPPG) and advanced computer vision to extract vital signs from a standard camera feed. It allows users to perform a full health assessment in 30 seconds by simply looking into their smartphone or computer camera. The tool is specifically built as a B2B solution for healthcare providers, insurance companies, and wellness platforms looking to integrate real-time health data into their digital ecosystems without requiring external hardware or wearables. The platform tracks a wide array of metrics including blood pressure, heart rate, heart rate variability (HRV), breathing rate, and BMI. It also calculates complex health indices like vascular age, cardiovascular risk scores, and stress levels. Unlike many consumer-grade wellness apps, Shen AI emphasizes clinical validation, with its AI trained on over 7 million data points to ensure measurement precision comparable to traditional medical devices like blood pressure cuffs. The technology is designed to work across all skin tones and varied lighting conditions through its proprietary Multimodal Sensing Engine. For developers and enterprise leaders, Shen AI provides a fully customizable SDK compatible with frameworks like Flutter and React Native. A key differentiator is its commitment to data privacy; all processing occurs locally on the user's device via edge computing, meaning no sensitive bio-signals are transmitted to the cloud. It also features FHIR API support, making it straightforward to sync scan results directly with existing Electronic Health Record (EHR) systems. This architecture simplifies compliance with global privacy regulations while maintaining high-speed performance. The tool is best suited for telehealth providers seeking to improve care navigation, insurance companies aiming for more accurate risk stratification, and corporate wellness platforms encouraging preventive health. By reducing the friction of vital sign collection, it helps shift healthcare from reactive treatment to proactive monitoring. Whether implemented in mobile apps or smart mirrors, Shen AI provides a scalable way to bridge the vitals gap in remote patient monitoring and digital health services.
Pros & Cons
Delivers heart rate results with a clinically validated error level of under 0.5 bpm.
Ensures high data privacy by processing all biometric information locally on the device.
Eliminates the need for specialized medical hardware like blood pressure cuffs or wearables.
Offers broad compatibility with integration support for Flutter, React Native, and web apps.
Provides rapid feedback with initial health metrics available after only 5 seconds of scanning.
Entry-level pricing starts at €900 per month, which may be costly for small startups.
The product is currently undergoing conformity assessment for EU Medical Device Regulation certification.
Measurement accuracy depends on users having stable lighting conditions and clear face visibility.
High-volume usage beyond the initial bundle requires additional scan fees starting at €0.10 each.
Use Cases
Telehealth providers can implement contactless vitals tracking to better guide patients to the appropriate level of care during remote consultations.
Insurance companies can utilize real-time health data for enhanced risk stratification and proactive policyholder engagement.
Corporate wellness platform managers can integrate 30-second health scans into daily employee routines to promote preventive care habits.
Mobile health developers can bridge the vitals gap in their applications by enabling clinical-grade monitoring without requiring external hardware.
Fitness and lifestyle apps can provide users with advanced metabolism and cardiovascular risk insights through a simple smartphone camera.
Platform
Features
• fhir api for ehr integration
• body composition and metabolism indices
• cardiovascular risk and wellness scoring
• multimodal sensing engine for skin tone inclusivity
• customizable mobile and web sdk
• edge computing for on-device privacy
• contactless rppg vital signs tracking
• 30-second face scan health assessment
FAQs
How does Shen AI measure health markers without traditional devices?
The platform utilizes remote photoplethysmography (rPPG) to analyze light reflections from the skin's surface. Advanced AI algorithms process these micro-signals to calculate vitals like blood pressure and heart rate using only a standard camera.
How accurate are the measurements compared to medical cuffs?
Shen AI is clinically validated and provides results comparable to traditional hardware. For instance, heart rate measurements maintain an error level of less than 0.5 bpm, backed by training on 7 million data points.
How long does it take to receive health results?
Users can see initial readings for Heart Rate and BMI in just 5 seconds. A comprehensive scan covering more than 30 health markers is completed within 30 seconds.
Does the technology work for all skin tones?
Yes, Shen AI includes a Multimodal Sensing Engine designed specifically for inclusivity. This ensures reliable and accurate readings across diverse skin tones and varying lighting environments.
Where is the health data processed?
All data processing is performed directly on the user's device using edge computing. No sensitive health information or video feeds are sent to the cloud, ensuring high privacy and security.
Pricing Plans
Core
EUR900.00 / per month• 500 scans monthly
• Heart Rate & HRV
• Breathing Rate
• Stress Index
• Blood Pressure
• BMI tracking
• User onboarding
• FHIR integration
• Assisted implementation
• Localization support
Professional
EUR1680.00 / per month• All Core metrics
• Wellness Score
• Vascular Age
• CVD Risk Score
• Body Composition Indices
• White-label options
• Studio insights
• UI/UX workshop
• Priority support
• Metabolism indices
Enterprise
Unknown Price• Tailored scan volume
• Custom business case
• Dedicated solution architect
• Engineering support
• Advanced health indices
• Full UI/UX customization
• Scalable volume discounts
• Priority engineering support
Job Opportunities
Agentic Systems Engineer
Transform any camera into a medical-grade monitor to track 30+ health markers in 30 seconds, enabling healthcare providers to offer contactless vitals tracking.
Benefits:
Opportunity to co-create meaningful technology
Culture of ownership, openness and trust
Freedom and flexibility working remotely or on-site
Private healthcare
Work equipment and tools of your choice
Education Requirements:
MSc / PhD in Computer Science, AI, Mathematics, or related field
Experience Requirements:
4+ years of experience in software engineering or ML
Production use of LLM frameworks (LangChain, LangGraph, CrewAI or similar)
Other Requirements:
Strong proficiency in Python and related libraries
Hands-on experience with GCP (Cloud Storage, Vertex AI, Cloud Run/K8s)
Knowledge of RAG, vector databases and ingestion pipelines
Ability to build evaluation pipelines and design metrics
Responsibilities:
Design and deploy agents that continuously scan scientific literature
Build pipelines to ingest and vector-index knowledge
Integrate agents with GitHub to review pull requests
Develop sandboxed execution environments for agents
Orchestrate automated experiments: ablation studies, HPO, sweeps
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Technical Support Engineer
Transform any camera into a medical-grade monitor to track 30+ health markers in 30 seconds, enabling healthcare providers to offer contactless vitals tracking.
Benefits:
A key role in a fast-growing company
Flexible work setup (remote/on-site in Wroclaw, Poland)
Unlimited paid vacation
Private healthcare
Top-tier tools, modern methodologies, and competitive pay
Experience Requirements:
Experience with ticketing systems (e.g., Jira)
Experience with technical documentation
Other Requirements:
Solid knowledge of web and mobile development environments
Strong debugging skills and familiarity with log analysis
Excellent English communication skills
Strong organizational skills to prioritize escalations
Positive, empathetic attitude when interacting with customers
Responsibilities:
Perform hands-on debugging and reproduction of technical problems
Work closely with R&D/Engineering to analyze bugs
Improve SDK documentation and client-facing technical guides
Identify recurring technical issues and provide feedback
Manage incident response during high-severity issues or outages
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Computational Physiology Research Engineer
Transform any camera into a medical-grade monitor to track 30+ health markers in 30 seconds, enabling healthcare providers to offer contactless vitals tracking.
Benefits:
Opportunity to co-create meaningful technology
Culture of ownership, openness and trust
Working with professionals in a small dream team
Freedom and flexibility working remotely or on-site
Private healthcare
Education Requirements:
MSc / PhD in Computer Science, Mathematics, Biomedical Engineering or similar
Experience Requirements:
3+ years of experience with data analysis and neural networks
Experience with biosignal analysis (ECG, EEG, PPG or similar)
Other Requirements:
Strong knowledge of SOTA machine learning trends
Proficiency in Python and scientific libraries
Experience with PyTorch/Tensorflow
Interest in human physiology, medicine, and wellness
Responsibilities:
Develop deep learning models for biosignal analysis
Conduct research on deep learning architectures for biomedical signals
Provide feedback to data collection teams regarding experimental setups
Perform exploratory data analysis and create visualizations
Process, clean, and prepare biosignal data
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Ratings & Reviews
No ratings available yet. Be the first to rate this tool!
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