What changed? IoT meters have been integrated into the system. The meters continuously collect readings, and threshold conditions have been configured — when any meter breaches its set limit, the system triggers an alert automatically.
Why it matters: Monitoring was previously manual, relying on periodic checks. With live IoT data flowing in and automated breach alerts, teams are notified the moment a reading goes out of range — enabling faster response and reducing the risk of undetected equipment failures.
What changed? Labour cost calculation now supports non-login and external contract users. The user field in the Labour Cost module works as both a dropdown (for Cryotos-registered users) and free text (for contractors), allowing a contractor's name, hourly rate, and worked hours to be entered directly against a Work Order — without onboarding them into Cryotos.
Why it matters: Contract and external labour costs can now be tracked within Cryotos without requiring every worker to have a system account. This gives a complete and accurate picture of total WO labour spend — internal and external — in one place, reducing manual workarounds and improving cost reporting across all clients on both Web and Mobile.
What changed? Microsoft Teams has been integrated for Engen, enabling users to raise tickets directly from Teams against assets flagged during reconciliation — without needing to switch to the Cryotos application.
Why it matters: Engen's teams already operate within Microsoft Teams day-to-day. This integration removes the need to context-switch to a separate system just to log a reconciliation issue — tickets get raised faster and nothing falls through the cracks during asset reconciliation reviews.
What changed? RFID scanners have been deployed at the warehouse to track all parts movement in and out. Every movement is logged automatically, and any unrecognised or unplanned movement is flagged — triggering a ticket for review.
Why it matters: Parts movement was previously tracked manually, leaving room for unrecorded transfers and inventory discrepancies. Automated RFID tracking ensures every part movement is captured in real time, and unknown movements are immediately surfaced — improving inventory accuracy and accountability.
What changed? Equipment is now ranked by criticality. When a breakdown occurs, the system automatically assigns the work order to the most suitable available technician — factoring in both their current availability and their skill mapping against the specific equipment.
Why it matters: Manual assignment during breakdowns slows response time and often doesn't account for technician skill fit. Auto assignment ensures the right person reaches the right equipment faster — with critical assets prioritised first, reducing downtime and improving first-time fix rates.
What changed? A consolidated MIS dashboard has been built that brings together Breakdown Maintenance (BM), Preventive Maintenance (PM), summary views, cost analysis, and spare/inventory analysis — all in a single dashboard.
Why it matters: Management previously had to pull reports from multiple modules to get a complete operational picture. The consolidated MIS dashboard gives decision-makers a single view across all key maintenance and inventory metrics — making reviews faster and enabling more informed planning.
What changed? Cryotos now exposes an MCP (Model Context Protocol) integration, allowing organisations to connect their own instances of Claude, ChatGPT, or Gemini directly to Cryotos. Users can query and retrieve Cryotos data and information through their preferred AI assistant.
Why it matters: Previously, AI-driven queries about Cryotos data were limited to the built-in Cryotos AI. With MCP support, organisations that already use Claude, ChatGPT, or Gemini internally can now bring Cryotos context into those tools — making it possible to ask questions, pull reports, and get insights from Cryotos without leaving their existing AI workflows.
What changed? Dedicated dashboards added for the Kaizen and One Point Lesson (OPL) modules, each with the relevant filters to slice and view data.
Why it matters: Teams can now track Kaizen submissions and OPL knowledge documents at a glance — without manually digging through records. The filtered dashboards make it easier to monitor progress, spot gaps, and drive accountability across continuous improvement and knowledge-sharing activities.