The Custom-Made LIMS Solution

custom-made adaptable LIMS solutions for the laboratory

To remain competitive and deliver top quality products and services, laboratories must be able to efficiently manage the continuous flow of samples, materials and information generated by laboratory operations.

To help laboratories streamline their operations, Odysis has developed myLIMS, a web-based Laboratory Information Management System that serves as the foundation for the development of custom-made solutions adapted to the specific needs of a laboratory: easy to implement and use, and open to integrate new requirements dictated by an ever changing economic world.

A New Concept of LIMS

With myLIMS, Odysis offers a new concept of Laboratory Information Management System, developed in collaboration with users from industry leaders active in the chemical, petroleum, clinical, environment, life sciences and food & beverage industries.
myLIMS unique offering includes:
  • flexibility: solutions fully tailored to your laboratory needs
  • intuitive web user-interface: reduced training costs and increased productivity
  • adaptability to a wide range of budgets: "pay for what you need"
  • minimum deployment costs: install once, use anywhere
  • hands-free operations thank to speech recognition AI technology
myLIMS is the right answer to laboratories that seek to increase the productivity, security and quality of their operation. The flexibility of myLIMS solutions allows to fit a wide range of budgets and either to offer a global solution or to empower an existing corporate solution with a unique web-based technology.
With its characteristics, myLIMS is especially adapted for laboratories that need a very high degree of flexibility and intuitive operation, like R&D laboratories and laboratories dedicated to very specific analyses. We are proud to deliver myLIMS solutions in Europe and the United States to leading companies active in various industries.


sample management

detergent analysis

food products tracking

alcohol content analysis