Internet of Things (IoT) Services

Remote monitoring of equipment performance metrics and early detection of potential malfunctioning. Prevents equipment breakage and production interruptions.

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.

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.

Automated control over the intensity of energy utilization depending on the outside conditions. Applicable to personal (home lights) and public (street lights) surroundings.

Remote tracking of assets’ geoposition and movements. Instant indication of low stock.

Analyzing vital signs measured by wearable devices and informing a supervising doctor on deviations from normal levels. An advanced level of telehealth.

Real-time alerting on abnormal behavior within the area under surveillance. Used for crime prevention, early fire detection, traffic incident alerts.

Monitoring product parameters and process compliance during manufacturing.

Real-time monitoring of cargo in transit to cerify its quality and validate the compliance with transportation requirements.

• 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.

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.

• 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.