Industrial organizations have made a commitment to digitally transform. This typically comes from high up in the organization and there’s great fanfare. Then comes the demos and ideas and pilots. Some companies have had great success, many have not found the great value capture and are still looking for solutions. Enter K-IIoT.
While the team leverages tools and technology, K-IIoT started at the end and worked backwards. Rigorous collection of data, breaking big systems and concepts into components, and using math and physics, not inferred ML and AI to solve some of the most sought after use cases in Industrial Digital Transformation.
K-IIoT leverages data, subject matter expertise, and mathematical models to better manage your equipment and processes. Ask us how we can help your team increase effective output and first pass yield, remove defects, and reduce unplanned downtime, and further energy efficiency and sustainability goals. We don’t claim to solve all challenges around asset and process management, but we will solve some of the most pressing, enabling you to deliver significant value to your entire organization.