Building Complete Shopfloor Visibility with the Right Machine Connectivity Strategy
No two factories are the same, meaning a “one-size-fits-all” connectivity approach rarely delivers complete visibility.
No two factories are the same, meaning a “one-size-fits-all” connectivity approach rarely delivers complete visibility.
Why manufacturers struggle to become truly data-driven, despite generating more data than ever before, and how MES bridges the gap
Join us online on March 26th for a live demo of the latest Seiki AIR software release. Also get a first look at the new modules and enhancements that we'll be launching at MACH.
Struggling with inconsistent machine data and limited real-time visibility? Machine status monitoring gives you live insight into performance and downtime, enabling faster decisions and measurable productivity gains.
MACH 2026 isn’t just another exhibition in the calendar. It’s where Seiki will be unveiling the next wave of capability designed to close the gap between planning, execution, and operational performance.
Without real-time execution data feeding back into the system, manufacturers lose visibility where it matters most, the point of production.
With the holidays just around the corner, we wanted to take a moment to wish you a very Merry Christmas and to say thank you for your support this year. We'll be closed from noon on Christmas Eve to January 2nd 2026.
The latest software releases are packed with exciting new features and enhancements that are designed to help you work smarter, faster and in a more seamless way. Discover things such tooling preparation, enhanced automatic monitoring, integration with maintenance management systems, scheduling optimisation and more.
We’re excited to announce that the next release of Seiki AIR v1.13 introduces a powerful new feature designed to help manufacturers close the gap between machine monitoring and asset management.
The Optimiser module is a powerful enhancement to your Seiki planning and scheduling system. It takes your existing schedule and intelligently reworks it to try to improve key performance areas like delivery reliability, lead times, and capacity utilisation.