01
Sensing
Cameras, IoT and a range of sensors capture physiological, environmental and equipment data.
AI SOLUTIONS FOR SMART CARE
Let AI see what the data holds,and decide the next move on site.
We bring contactless vital-sign measurement, intelligent service robots, an operations intelligence centre and a resilient data platform together into AI solutions built for real deployment — raising efficiency, safety and decision quality across healthcare, long-term care and smart facilities.
AI services running
Operational efficiency92.8%↑ 12.4%
AI anomaly detection24Handled live
Data integration rate98%Multi-source
Operations trendLast 7 days
Automation coverageLive
74%Processes automated
Face AI measurementContactless vital signs
EVA task executionDelivery routes 03 / 04
AutonomousTask progress78%Obstacle statusNormal
ONE AI ARCHITECTURE
Four integrated layers that turn data into action
From front-line sensing to back-end data governance, every module can be adopted on its own or combined into a complete smart-facility solution.
02
Action
Intelligent robots and automated workflows take on delivery, inspection, service and collaboration tasks.
03
Decision
Operational data, incidents and predictive models converge into a visual basis for decisions.
04
Data
Data governance, AI compute, API services, redundancy and cross-domain capability.
CORE SOLUTIONS
Four AI solutions for the pain points that matter
Each one is designed to be deployable, integrable and extensible — so the technology becomes part of daily operations rather than a demonstration.
SOLUTION 01 · SENSING
Face AI contactless measurement
Fast, continuous, low-burden observation of vital signs using an ordinary camera
rPPG and AI algorithms analyse the optical reflection of blood flow in the skin's microvasculature, removing the burden of contact devices, manual transcription and multi-device calibration — and writing results straight back into the management system.
- Works with phones, tablets and camera devices
- Automatic write-back and long-term tracking
- Personalised thresholds and anomaly alerts
- Supports remote care and daily health management
Care facilitiesHome careHealth screeningTelemedicine
SOLUTION 02 · ACTION
EVA intelligent service & transport robots
Modular robots that take on the frequent, time-consuming and higher-risk work on site
LiDAR, ultrasonic sensors, depth cameras and intelligent fleet management combine to support delivery, specimen transport, remote collaboration, environmental inspection and multi-robot coordination — returning staff to the work that needs judgement and human presence.
- Autonomous navigation, obstacle avoidance and self-charging
- Service, transport and clinical modules that scale
- Task scheduling and multi-robot coordination
- Less manual lifting and lower injury risk
Hospital logisticsCare deliverySmart inspectionRemote collaboration
EVA SERIES
EVA models and capabilities
Choose the model that fits the task — collaboration, secure logistics or heavy-duty transport. Use the buttons above to jump to each one.
RYVIA-D — data hub and communication centreCombines remote collaboration, an interactive screen and on-site wayfinding; suited to smart service and care support.
RYVIA-S — secure precision logisticsBuilt for confidential items, high-value assets and multi-compartment management, strengthening transport security within hospitals and facilities.
RYVIA-T — tireless heavy-duty logisticsAimed at heavy loads, autonomous navigation and transport needs, reducing manual workload while improving throughput.
SOLUTION 03 · DECISION
OIC operations intelligence centre
Scattered systems, events and indicators brought onto a single decision screen
Data from residential care, day care, home services, hospitals and regional networks is unified into role-based dashboards covering the operational picture, incidents, service load and trend forecasts — so managers can read the situation and reallocate resources faster.
- Integration across units and systems
- Real-time anomaly monitoring with tiered alerts
- Operational KPIs, risk and trend analysis
- Multi-level permissions for headquarters, regions and units
HeadquartersMulti-site managementRegional careSmart cities
SOLUTION 04 · DATA
AIDC AI health data centre
A governable, analysable and extensible foundation for health data and AI services
Clinical, long-term care, IoT, wearable and operational data are unified, with AI compute powering analysis, model services and cross-domain applications. Tiered data, permission governance, off-site redundancy and an API architecture raise both security and business continuity.
- Standardisation and governance across sources
- AI models, compute and API services
- Data vaulting, redundancy and disaster recovery
- Supports cross-hospital, cross-organisation and cross-domain use
Health data platformAI model servicesData exchangeOff-site redundancy
APPLICATION SCENARIOS
One set of AI capabilities, many service settings
Build the right adoption path around your organisation's size, existing systems and operational goals.
Healthcare systems
Connects HIS, measurement devices and task workflows to support clinical collaboration, logistics and remote care.
Long-term & day care
Cuts the burden of measurement and record-keeping while unifying care, transport, operations and incident management.
Smart facilities
Robots, IoT and the intelligence platform combine to handle inspection, monitoring, alerting and task dispatch.
Regional care networks
Integrates data across organisations, systems and domains into regional decision-making and resource coordination.
BUSINESS VALUE
Technology earns its value by removing burden, not by adding another system
Process automation, data integration and AI decision support give organisations their time back for service — and turn data into the next action.
7×24Continuous monitoring and incident awareness
One ViewCross-system information in one place
ModularAdopt and expand step by step
AI ReadyData, models and compute that keep improving
DELIVERY METHOD
From needs assessment to continuous improvement — built to run for the long term
A one-off build is not the finish line. A phased method lowers adoption risk and lets AI capability grow alongside the facility.
01
Assess the site and the pain points
Identify workflow bottlenecks, data sources, user roles, target metrics and existing system constraints.
02
Design the solution and integration
Plan the module mix, data flows, APIs, permissions, security and adoption priorities.
03
Validate by PoC, then deploy
Prove the outcome in a minimum viable setting, then complete equipment, systems, training and go-live.
04
Feed data back and keep improving
Track KPIs, model performance and actual usage, then extend to more workflows and sites.