Laboratory products
Published over 15 years ago. See the latest and most current information on Laboratory products.
A new breed of Laboratory Information Management System (LIMS), which features a breakthrough user interface, is being launched by London-based start-up company, Two Fold Software Ltd. The easy-to-use
Qualoupe LIMS solution greatly simplifies LIMS use while very significantly lowering running costs.
Offering major productivity gains, improved quality management and reporting flexibility, Qualoupe features an intuitive, configurable user interface designed to enhance the user experience and revolutionise work flow.
A powerful, versatile laboratory tool, Qualoupe delivers the information the user really needs while distancing them from having to understand or see the underlying LIMS data structures. The easy to install LIMS is ‘Quick to Go Live’ which saves both time and money and minimises installation disruption.
The Web-based Qualoupe user customisable interface is principally icon-driven and features uncluttered screens using a Just Enough Information Model (JEIM) that requires minimal mouse clicks to operate. For most applications there are a maximum of four action buttons located in the same area of each screen to simplify user operation.
Qualoupe’s Self Learning Interface (SLI) monitors data that is commonly used by each user, facilitating faster selection of records, which coupled with native data queries, offers very powerful ad hoc real time information access in support of decision making.
The interface features microformats associated with fields that are capable of linking to other systems or services. Third party application access via the user interface can be readily implemented. Qualoupe can also be easily configured to be multilingual throughout.
Qualoupe offers full audit trails and helps to simplify compliance with UKAS, FDA, ISO 17025, MRC, GLP and GMP. The system’s software is optimised to share data across and between an organisation’s sites and supports both manual and automated data capture.
ILM Guide 2026/27