Digitalization is one of the biggest transformations in the industrial sector, but getting started is not always straightforward. Technology is evolving rapidly, offering new opportunities for efficiency improvements, yet practical implementation often feels challenging, and taking the first step can be difficult.
🔹 Where to begin? Digitalization is a broad concept covering data collection, analytics, automation, AI, and system integrations. Many companies fear making the wrong choices and ending up with a solution that won’t scale with future needs.
🔹 Existing systems and investments. Companies already have equipment and software in place, and replacing them isn’t always financially viable. How can new technology be integrated with existing systems without significant additional costs?
🔹 Costs and ROI. Digitalization is an investment, but its returns can be difficult to measure in advance. Companies hesitate to invest in technology if the benefits aren’t immediately visible. Often, only by starting—such as automating data collection—can optimization opportunities and their potential impact be identified.
🔹 Vendor lock-in and flexibility. Many IoT solutions tie companies to a single ecosystem, limiting long-term development opportunities. This dependence on one supplier can hinder flexible growth in the future.
Rather than trying to do everything at once, successful digitalization happens step by step. The right IoT platform and partner enable a small start—such as data collection or production visualization—and scale toward future needs like automated production optimization or predictive maintenance.
The key is choosing a solution that adapts to your business, not the other way around. Digitalization is an investment in efficiency, profitability, and future competitiveness.
This is why we created Owl.
Owl is more than just an IoT platform. It’s an adaptable, future-proof system that enables seamless data flow between machines, software, people, and automation systems—turning company data into a competitive advantage.
Instead of forcing customers into a rigid solution, Owl is modular and customizable to your needs without extensive software development costs.
✅ Works anywhere – Installable on any cloud or on-premises infrastructure. No vendor lock-in.
✅ Flexible deployment – Can be implemented as a full solution, a single module, or in any configuration that delivers the greatest benefit.
✅ Seamless integration – Supports various protocols, APIs, and customer-specific integrations.
✅ Customizable without high costs – Designed for lightweight, cost-effective customization tailored to your needs.
✅ Grows with your needs – Start with simple data collection, then expand to AI, process optimization, and other future requirements.
Owl adapts to your business.
Data is everywhere, and there are countless ways to collect it. With Owl, you don’t just gather and visualize data but also act on it.
One of our pilot customers integrated vision-based quality control with process data collection. Now, if a defective product is detected, they can see exactly what happened in production, trace the root cause, and fix it.
Another customer uses Owl for predictive maintenance, preventing equipment failures before they occur, reducing downtime, and saving costs.
Digitalization is not a one-time project; it’s a continuous development process. That’s why we are constantly evolving Owl to make industrial digitalization even more efficient:
🔹 Expanding ready-made integrations – Supporting more machines, protocols, and systems.
🔹 Built-in AI and machine learning – Enabling predictive maintenance, process optimization, and data-driven insights.
🔹 AI-powered agents – Ask Owl directly what you need to see in analytics and reports.
🔹 Long-term scalability – Ongoing investment in easy customization, ensuring Owl grows with your business.
With Owl, the possibilities are limitless. Start small, solve real problems today, and scale digitalization as your needs evolve.
Let’s begin your digitalization journey one step at a time.
Would you like to learn more? Get in touch!
Many companies invest heavily IIoT sensors and data collection, only to find themselves drowning in data without clear paths to action. This disconnect between information and implementation is costing manufacturers time, money, and competitive advantage. Adding control can transform passive monitoring into automated action, bridging the gap between seeing production issues and actually solving them.
Discover how predictive maintenance can transform your operations. Learn why gathering sensor data and organizing maintenance records is the key to success. Start preparing today!
Nadia Sabour has joined Trineria's team as Chief Sales and Marketing Officer (CSMO).
Anna-Leena Poukkanen has started as HR Manager at Trineria.
Trineria’s new quality management system meets the ISO 9001:2015 requirements.
The digital Scout Petitions platform is a tool for collecting and processing development initiatives.
It's easier to buy software development if you consider a few things from the start. We've put together six practical steps to make the software buying process easier for your company.
IteWiki's series of articles showcases software companies and the people behind them. Trineria, a developer of customised industrial internet software, is targeting 40-60% annual growth.
We adopted the OKR model at Trineria because we wanted to translate the company's new strategy into day-to-day work.