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

Don’t buy hardware – buy data.

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

Flexible rental terms

✅ Short-term rentals available at premium monthly rates for maximum flexibility

✅ Best value with 12-month+ commitments

✅ Initial hardware fee offsets setup and shipping costs

✅ Low ongoing monthly fee builds into predictable SaaS revenue

This model suits everything from temporary installations to long-term monitoring, enabling organizations to scale their IoT strategy over time without significant upfront investment. 

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.

Key benefits experienced:

The renting strategy has brought quite a number of essential benefits. Economically, it changed a capital-intensive investment into expenses that can be operated, and cash flow increased and reduced risk. It has also made us very versatile: we can roll out sensors for short seasons or experiment with different types of sensors on different crops or environments. The fact that we were able to go from pilot to full deployment really quickly was tremendous, and we never would have been able to achieve that had we had to acquire and operate hardware on our own. The continued support of the provider managed to keep sensors calibrated and operational, and hence the quality of the data was high”.

Real-world example – Startup (SaaS company)

“It wasn't the cost of buying hardware, as it was the cost of maintenance. This would require an in-house IT department or a third-party maintenance team. Either way, this would have been quite resource-intensive and cost-prohibitive. We estimated the cost to be about $50,000 annually, which was too much for us at the time as a startup”.

Business use cases:

Proof-of-Concept (PoC) trials – Launch fast, test fast, validate ROI before scaling.

Short-term projects – Ideal for construction phases, research studies, or limited-time deployments.

Budget-constrained teams – Access high-end sensing infrastructure without large CapEx.

Data-driven pilots – Focus on outcomes and analytics, not ownership and inventory.

Start fast, learn, and scale when ready

With Prylada’s HaaS model, teams can collect reliable sensor data, evaluate system performance, and validate assumptions - all without the overhead of sourcing, installing, and managing their own IoT infrastructure.