AIoT in Healthcare — Today and Beyond
Beyond the pill: we partner with MedTech innovators to build connected devices, medical AI and data platforms that make care more accessible, accurate and personal.
- AI-driven insights
- Device + data integration
- Pilot solutions
10,000+ medical professionals in 7+ countries use our apps
Sense
Act
- Medical devices
- Patient wearables
SenzMaticaAI + IoT platform
- Clinical insights
- Care apps
OutcomeMore accessible, personal care
Why SenzMate
SenzMate AIoT Intelligence — your partner in future healthcare
Trusted by public health and innovation partners
100+
Cutting-edge AIoT engineers
Award-winning technology team
35%
Faster delivery time
End-to-end development under one roof
20%
More efficient future-ready product building
Cutting-edge AIoT technology spectrum
Solutions
Proven MedTech solutions, ready to adapt
Six solutions we've built and deployed with healthcare partners. Pick one to see what it does, the value it delivers and the stack behind it.
Applying AI-Powered LLM Models for Medical Applications
AI-driven treatment planning tools use advanced algorithms to create personalized plans based on a patient's medical history, genetics, and treatment responses. Medical Language Models (LLMs) generate accurate medical reports, freeing healthcare professionals for other essential tasks and enhancing overall patient care.
- Improved accuracy in reporting
- 20%
- Improvement in personalized patient care
- 30%
Key features · 2
- AI-powered treatment planning tools
- Automated medical report generation
Technologies used
- Stability AI
- OpenAI
- PaLM 2
- LlamaIndex
- Llama 2 7B Chat
- Private commercial LLMs
- Web & mobile
Wireless Temperature & Environmental Monitoring
Let healthcare facilities use one network to make sure every department meets compliance standards and prevents product loss, with environmental data recorded and tracked remotely.
- Lower labor costs
- 40%
- Fewer overtime maintenance fees
- 20%
Use cases
- Vaccination storage
- Sperm banks
- Pharmaceutical storage
- Medical storage
Key features · 2
- Alarms and monitoring system
- Sample tracking system
Value delivered · 1
- Protection against human error
Technologies used
- Wireless sensors
- LoRa
- NB-IoT
- React
- React Native
- Spring Boot
BioThermal Detection for Internal Injury Monitoring
The Biotherm Gauge determines the extent of a sports injury through a web app dashboard. Real-time analysis of the data stream measures the degree of damage and surfaces the relevant insights quickly and precisely.
- More accurate than existing IR-based devices
- 30%
Key features · 2
- Detects internal injuries or fractures immediately so the right steps can be taken
- AI-based recovery period evaluation
Technologies used
- STM32
- Python
- C
- NumPy
- scikit-learn
- Spring Boot
- MongoDB
- React
- MQTT
- IoT sensors
- Pattern mining
- Real-time processing
Patient Wandering System for Dementia Sufferers
A Bluetooth Low Energy (BLE) beacon worn by residents as a wristband carries the location and name of the person. Conditions and actions are defined through a web-based portal.
Key features · 4
- Patient monitoring, indoor movement tracking and heat-map logging
- Fall detection and alert generation
- Guides nurses to situations
- Detailed reporting on nursing home services
Value delivered · 3
- Reliable monitoring
- Proactive alerts
- Patient-centric approach
Technologies used
- BLE + LoRa mesh
- Beacons & tags
- ML indoor heat maps
- Med-PaLM
- Java
- Python
- STM32
- MQTT
- Spring Boot
- MongoDB
- React
Physical Therapy Home Exercise Guide
A React Native app that tracks exercise for physically challenged patients from the videos they upload. Powered by SenzMatica's AI engine, it gives real-time progress analysis and easy report sharing with doctors, and lets patients report the medical requirements of their treatment.
Key features · 4
- Real-time progress analysis
- Real-time exercise feedback
- Medication reports
- Real-time chat between patient and therapist
Value delivered · 2
- High-accuracy pose tracking
- Self-evaluation for patients
Technologies used
- YOLO
- TensorFlow
- MediaPipe
- MoveNet
- Time-series analysis
Wearable Health Tech
Oh, Band is an AI-based wearable band and smart platform that syncs and visualizes day-to-day hand hygiene behaviour. Frontline health workers can review their hand-washing patterns and improve them to reduce the spread of infection.
Key features · 4
- Tailor-made for healthcare regulations
- Robust embedded AI system
- Ultra-low power consumption
- Wearable form factor
Value delivered · 2
- Low power consumption
- Efficient hygiene monitoring
Technologies used
- Wearables
- Embedded AI
- Edge computing
- Web & mobile
Why AI in healthcare
How might healthcare benefit from AI?
Since COVID-19, the way medical providers, hospitals, pharmaceutical and biotech companies operate has transformed substantially.
Better machine learning algorithms, more accessible data, cost-effective hardware and widespread 5G are accelerating AI adoption. AI can analyze medical records, clinical trials and genetic data far faster than any human team.
HealthTech
Brings medical services to your fingertips through apps, telemedicine and wearables.
- Wearable devices
- mHealth apps
- Electronic health records
Medical Devices
Technology that helps physicians diagnose and treat patients.
- MRI technology
- Glucose monitors
- Robotic surgery
Digital Therapeutics
Evidence-based, software-driven interventions to prevent, manage or treat a medical disorder or disease.
- Digital treatment
- Improving health functions
Digital Physical Therapy
Physical therapy delivered through technology.
- App-based tools
- Video & vision
- AI-based feedback
SenzMate AIoT
Where science meets humanity
We help HealthTech founders deliver what everyone wants from healthcare: accessibility, quality of interaction and results.
People expect convenient, fair and affordable care wherever they live, with the same personalized service they get from finance and retail. Better access and experience lead directly to better outcomes.
Our smart, cloud-based solutions augment resources, improve workforce efficiency, integrate data across platforms and raise the standard of care. With healthcare providers and public health institutions worldwide, we put people at the core of healthcare.
What we bring to the table
SenzMate AIoT Lab offers strategy, consulting, operations and technology services that help deliver more personalized healthcare and better patient outcomes.
- In-house AIoT lab for R&D
- Business intelligence dashboards
- Lower overall cost and faster revenue
- MVPs to validate your idea
- Consultancy from ideation to commercialization
- 24x7 technical support and resources
- Accelerated HealthTech development
Capabilities
Award-winning, future-ready technology stack
Our AI Assistant combines IoT, deep learning, machine learning and LLMs so care teams can focus on essential work while patients get prompt answers, better access and less isolation.
Generative AI healthcare applications
Tailor-made wearable technologies
Computer-vision AI mobile apps
LLM-powered medical records & advisory
Embedded AI computer vision
Digital twins & edge computing
Technologies we build with
Impact
AI can make every part of healthcare operations more efficient
From the back office to the bedside, here's where SenzMate AIoT services help staff and patients.
Administrative workflow
AI frees healthcare professionals from tedious tasks like note-taking, coding and billing so they can focus on what matters most: patient care.
Patients embrace AI support
64%of patients are comfortable using AI-powered virtual nursing assistants for continuous access to nurse-like support.
Fraud prevention
$380Bis lost to healthcare fraud every year. AI detects billing irregularities such as overcharges, unbundled procedures and unnecessary tests.
Faster, more accurate diagnosis
AIoT analyzes vast patient data quickly. Pattern recognition improves accuracy, enabling faster and more efficient diagnoses.
Fewer dosage errors
AI tools detect errors in how patients use insulin pens or inhalers, reducing mistakes in self-administered medication.
Monitoring & preventive care
Big data and machine learning support clinical decisions and help track conditions like COVID-19, Parkinson's and stroke.
Results
Case studies
See how our MedTech solutions perform in the real world.
Success storyWireless Biotherm Gauge
Most sports injuries aren't visible, and the severity of internal tissue or muscle damage can't be judged on the spot. See how we measure it in real time.
Read the story
Case studyA Fascinating Approach to Keep COVID-19 at Bay
COVID-19 changed social interaction, personal hygiene, learning and work. Here's how a smart wearable helps build safer everyday habits.
Read the story
Success storyDigital Physical Therapy
Sedentary lifestyles leave many adults in physical discomfort. As healthcare goes digital, patients increasingly want physical therapy they can do remotely.
Read the story
Let's build together
Monitor almost everything smartly with SenzMate
We're a team with a deep passion for building IoT and AI solutions. Tell us about your idea and we'll help you take it from concept to clinic.