IOT
Delivering top notch products in the industry.
On a Mission to Build Sustainable Future
At ScienceSoft, we drive value-centered IoT solutions and build multi-level data pipelines for that: from edge computing to cloud data processing and data science.
Revolutionize Your Business with IoT Solutions
At Kloud Technology, we harness the power of the Internet of Things (IoT) to connect devices, streamline operations, and enhance efficiency.
Our customized IoT solutions help businesses automate processes, improve asset management, and enable real-time data analytics.
From smart devices to advanced sensor networks, we integrate technology that transforms how you operate.
Our end-to-end services include consulting, development, deployment, and maintenance.
Experience seamless connectivity and unlock new opportunities with our innovative IoT solutions!
Technologies we use
- Open-source IoT platforms
- AWS IoT services
- Azure services
- Connectivity
- Cloud databases, warehouses and storage
- IoT data analytics and machine learning
- Programming languages
- Mobile
- Supported protocols
- 100% Track Record, Driven by Results
- Seamless Integration, Effortless Performance
Services
Driving IoT Innovation across Industries
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Preventive equipment maintenance
Remote monitoring of equipment performance metrics and early detection of potential malfunctioning. Prevents equipment breakage and production interruptions.
Used in: Manufacturing.
Remote operation of machinery / appliances
Automating manual actions based on commands sent from control apps to actuators. Applicable to simple actions like switching on/off, opening/closing, and complicated industrial processes, like robotic order picking.
Used in: Manufacturing, Smart home.
Environmental monitoring
Measuring the required environmental metrics (temperature, humidity, pollution, CO2 level, etc.). Helps check the compliance of asset storage and transportation, monitor operation conditions for industrial equipment and at human workplaces, understand the environmental impact of processes.
Used in: Smart city, Production floors, Agriculture.
Optimization of energy consumption
Automated control over the intensity of energy utilization depending on the outside conditions. Applicable to personal (home lights) and public (street lights) surroundings.
Used in: Smart home, Smart city.
Hands-off inventory management
Remote tracking of assets’ geoposition and movements. Instant indication of low stock.
Used in: Storage facilities.
Remote health monitoring
Analyzing vital signs measured by wearable devices and informing a supervising doctor on deviations from normal levels. An advanced level of telehealth.
Used in:Healthcare.
Video surveillance and real-time alerts
Instant detection of abnormal behavior within the area under surveillance. Used for crime prevention, early fire detection, traffic incident alerts.
Used in: Smart facility, Smart city.
Product quality management
Monitoring product parameters and process compliance during manufacturing.
Used in: Manufacturing.
Connected transport
Real-time monitoring of cargo in transit to verify its quality and validate the compliance with transportation requirements.
Used in: Supply chain.
How we work
Our Structured Process to Achieve Your Goals
01
Consulting for the best value from IoT adoption
Investigating your business context and tasks/problems you want to address with IoT implementation.
Defining what data must be collected to meet project goals.
Hardware consulting.
Planning a data center with proper data processing and mining capabilities.
Setting up a data pipeline.
Functionally scoping each solution component: smart things, data warehousing and analytics solutions, control and user-facing apps.
02
IoT ecosystem setup: data collection, analysis and presentation
We design and implement layered IoT architectures:
Data generation layer: configuring IoT devices and connecting them to the network.
Edge computing: building a decentralized network to keep data processing close to where it originates, which allows for fast local decisions.
Data center setup: modelling a data processing environment for heterogeneous IoT data, applying machine learning and data science algorithms to identify patterns and trends needed for the solution of required problems.
End-user app development: creating different types of apps (web, mobile, VR/AR, smart screens, voice assistants) to serve visualized data insights.
Development of control apps: creating web and mobile apps enabling remote control of IoT devices.
03
IoT application management for sustainable operation
Technical support and troubleshooting: quick identification of data quality, application availability and usage issues.
Cloud management: monitoring and optimization of cloud resources consumption.
Security management and regulatory compliance: network, server, database, and application vulnerability assessment; infrastructure compliance review; DDoS and APT prevention.
IoT solution evolution: application updates and expansions to support your changing business needs.
04
IoT application management for sustainable operation
Technical support and troubleshooting: quick identification of data quality, application availability and usage issues.
Cloud management: monitoring and optimization of cloud resources consumption.
Security management and regulatory compliance: network, server, database, and application vulnerability assessment; infrastructure compliance review; DDoS and APT prevention.
IoT solution evolution: application updates and expansions to support your changing business needs..