A few years ago, a customer asking about data  storage location was an exception. Today, in several of the segments we work with, it is the second or third question that gets asked. Sometimes the first. Public sector cus…

Different machines. Different industries. Same foundation. An autonomous mower in a park. A sprayer in agriculture. A specialised industrial machine in a workshop. On the surface they have nothing in common. Underneath t…

Real data. Real machine. Real world. Last week we were out testing data transfer from a live-running robot directly to Clara Cloud. Not simulated. Not in a lab. An actual machine in the field, doing actual work — and we …

Building an autonomous machine? 🤖 You do not need one platform. You need three. A robot platform close to the machine, where embedded software and controllers turn sensors and motors into intelligent behaviour. An app pl…

Intro: ESG requirements are tightening across Europe. For machine manufacturers, this creates a new pressure point: how do you help your customers document environmental performance without adding hours of manual reporti…

For many machine manufacturers, ESG reporting has become an unavoidable part of doing business. Customers demand transparency. Regulators require documentation. Procurement processes increasingly include sustainability c…

High-quality research depends on high-quality data. Yet in many research environments, valuable time is spent cleaning, validating, and restructuring data before meaningful analysis can even begin. But research does not …

Automation has traditionally focused on efficiency and productivity. But as autonomous machines become more widespread, safety must evolve alongside performance. In the SAVA project, we work with AI and advanced sensor s…

At Conpleks, we build systems that make machine data usable in real-world operations. Most modern machines already generate large volumes of data.However, too often that data remains inside the machine — or ends up isola…

In many machine-based operations, documentation is still handled manually. Notes, estimates, and assumptions are often made after the work is completed, leaving room for uncertainty and discussion. Clara Cloud changes th…