XiltriX software

XiltriX controls, measures and registers physical constants and variables via a real-time network of analogue sensors. A measurement is taken at least once per minute. These measurements are then digitalized and stored. The proprietary software compares the values with the alarmed set parameters. When the user-defined values fall outside those set limits, the alarm system is activated. XiltriX protects your Science 24-hours a day, 365-days a year.

Data Analysis is the process of systematically applying statistical techniques to describe, illustrate, and evaluate data. The XiltriX service collects and organises data so that investigators can answer questions, solve problems, and derive important conclusions. XiltriX is an essential component in ensuring data integrity for the accurate and appropriate analysis of your research findings.

XiltriX data reporting is very comprehensible, in numerical values as well as graphs. The system is fine-tuned to function in an accredited laboratory environment. Complete, conveniently arranged and user-friendly, XiltriX reporting is a great and reliable addition to your daily processes.

Many XiltriX installations are in laboratories operating in regulated environments, where compliance and validation is an essential part of the implementation of the system. This is a multi-step process, and XiltriX can assist during every stage. We can provide the necessary User Requirement Specification (URS) and Functional specification documentation to initiate the validation process. These documents will be compared to the needs and requirements of the customer. The results of this exercise will be reported in a Review document which is the first step of the validation process. Any subsequent changes will be recorded in the Change request documents provided. This part of the process is oftentimes known as DQ (Design Qualification).

XiltriX data documentation will ensure that your data will be understood and interpreted by any user. It will explain how your data was created, the context of  the data, its structure and contents, and any manipulations the data has undergone.