Prylada launches Hardware as a service model for fast and flexible monitoring 

Prylada is proud to introduce Hardware-as-a-Service (HaaS) model. Designed for companies that need fast, scalable, and cost-effective monitoring without long-term capital investment.

In many cases, such as pilot projects, temporary installations, or research efforts, buying and configuring a full set of sensors and gateways can be time-consuming and cost-inefficient. Our HaaS model provides an alternative: pre-configured, ready-to-deploy hardware kits that deliver real-time data and analytics via dashboards and APIs, without the need to own or manage the equipment.

What’s included
Pre-configured sensor kits tailored to specific parameters: temperature, humidity, vibration, motion, gas levels, energy use, location, etc.
Cellular/LTE or Wi-Fi connectivity via Prylada gateways
Web-based dashboard with real-time data, alerts, and basic analytics
Support with installation and remote diagnostics

Who benefits most?
This model is designed for:

Companies new to IoT – Evaluate how real-world data can impact operations before investing in permanent infrastructure

R&D and innovation teams – Run proof-of-concept projects faster and with lower risk

Facility, logistics, and site managers – Monitor temporary locations or seasonal workflows without long-term costs

Consultants and integrators – Quickly deploy pilot setups for clients without upfront investment in hardware

Example applications:
Monitoring environmental conditions in warehouses or office spaces
Tracking asset movement or location in construction or logistics projects
Testing vibration or noise levels near industrial equipment
Short-term deployments for compliance testing or certifications
Agricultural trials for soil, weather, or CO₂ monitoring
Customer Insights: field-tested use cases
Real-world example – agriculture

“Our decision to take a rental approach was due to the costly and cumbersome overheads that would be involved in the procurement and maintenance of physical IoT hardware on geographically scattered farms. Sensor renting offered a quick way to scale up the technology, eliminating the need for substantial initial investments. The service model provided access to continuous service, including maintenance, firmware updates, and data direction. This implied that our team would have more time to analyse the information and make farming decisions than to install and maintain the hardware.

Read more: iotforall.com

Source: IOT NETWORK NEWS