Industry 4.0: We are in the fourth technological revolution, where physical operations are paired with always-on data and software. IoT provides the sensor and actuator layer that connects assets to cloud/edge intelligence, enabling real-time visibility, analytics, and closed-loop control. This shift goes beyond traditional automation: systems interoperate, learn, and adapt – improving safety, quality, uptime, and cost.

While single-board computers and compact edge devices have existed for decades, their use in mission-critical industrial systems has accelerated in recent years:

• Hardware maturity – Raspberry Pi, Jetson, and NUC platforms now offer stable performance, extended lifespan, and industrial-grade accessories.
• Ecosystem readiness – full support for key industrial and IoT protocols, secure operating systems, and containerized deployments.
• Versatility – from smart home controllers to factory automation, the same platforms can scale across use cases.

We leverage these advancements to deliver modern, cost-effective, and future-proof IoT architectures that meet both technical and business needs.

Data/telemetry foundation:  Sensor integration, high-quality timeseries pipelines, feature extraction, and rule-based analytics to generate alerts, reports, and automations without requiring ML.

Secure operations: On-premise or cloud deployment, encryption in transit/at rest, access control, audit logging, data retention, and integration with existing operational tools and workflows

Beyond core IoT development, we also support advanced use cases:

• Centralized model support – When needed, we coordinate cloud or on-premise evaluation and training of third-party or open-source models for anomaly detection, energy optimization and condition monitoring, using governed, ML-ready datasets and customer approvals.
• Edge AI integration – We package and deploy pre-trained partner models to supported edge devices with offline fallbacks and rule/threshold-based logic, ensuring critical functions do not rely on constant connectivity and non-ML options remain available.

We develop intuitive dashboards and analytics tools for monitoring KPIs (Key Performance Indicators), visualizing time-series data, and triggering alerts — enabling operators to act quickly and effectively.

Our secure, centralized IoT platform puts privacy first. By eliminating unnecessary third-party exposure and ensuring end-to-end protection, it lets you house sensitive data confidently across residential, commercial, and industrial environment. Deploy on-premises or in the cloud to match your operational needs and compliance requirements.

We design solutions to connect IoT gateways to centralized or cloud applications – ensuring secure data transfer, reliable and scalable synchronization, and smooth integration with analytics, visualization and business systems.

Our approach allows your IoT devices to work seamlessly with your existing cloud infrastructure or dedicated IoT management platform.

We manage the entire journey of your IoT data:

• Collecting – receiving measurements and status information from wide variety of devices
• Processing – filtering, validating, unifying and enriching data
• Streaming – Continuously delivering processed information to required destination: cloud services, analytic platforms or enterprise systems.  Result: clean, structured, real-time data ready for decision-making.

We connect to field devices, sensors, and actuators using established standards, including communication protocols for:

• Residential or small business usage: Z-Wave, ZigBee, BLE
• Industrial or plant-level applications: LoRaWAN, Modbus (RTU/TCP)

This ensures compatibility with both smart building technologies and industrial equipment, enabling smooth integration into production environments.

We build compact applications for edge devices such as standalone computers (e.g. Raspberry Pi, NVIDIA Jetson, NUC platforms, even notebooks) or single-board microcontrollers (e.g. ESP, Arduino).

These platforms are easily available, provide compact computing power and widely used from custom personal applications, through small and flexible projects to even industrial scale environments.
We select the right hardware for your use case:

Raspberry Pi – cost-effective, long-term hardware support, versatile for local server roles.
NVIDIA Jetson – AI-ready hardware for computer vision and trained machine learning models.
Microcontrollers – Energy efficient and resilient device for data collection.

We design and deliver complete IoT software ecosystems – from applications running on edge devices to cloud-based analytics platforms.

We build our solutions to rigorous industrial standards and protocols, ensuring flexibility, security, and scalability. The result is widely applicable, versatile technology where everything, from end-user devices to enterprise systems, works together seamlessly.

We help companies collect, process, and visualize data from connected devices — enabling real-time insights, automation, and predictive capabilities in industrial and commercial environments.

Our agile, partner-centric process ensures rapid iteration, timely feedback, and an immediate, hands-on experience.