Our colleagues Lucie, Ad and Evert are looking forward meeting you in Barcelona! They can be found at the AIP Trading Table 189. Join them and find out how our Senior Business Consultants can contribute to a better control of your key breeding processes. It is their unique combination of IT expertise and knowledge of […]
Agri Information Partners
Bejo chooses E-Brida for breeding support
For the automation of its breeding activities, Bejo has opted for the breeding software E-Brida from Agri Information Partners (AIP). On February 16, Bejo and AIP signed the contract for the implementation of E-Brida. Bejo has assessed a number of potential solutions in a structured selection process and ultimately chose for E-Brida. “We have not […]
A look behind the scenes
At Agri Information Partners, we work every day to improve your data management. Some of our team members are more visible to the customer than others, who operate behind the scenes. Who are the people behind our products and services and what is their story? Today we talked to two of our colleagues, Desirée and […]
Creating your opportunities by connecting diverse sources of information (with video)
It is an illusion to have a single application solving all the needs and questions as an all-embracing solution. Organizations & teams deal today with information available in diverse formats and places. The challenge is to combine them in a useful and durable way to deliver valuable insights. In the end, the value of a […]
Agri Information Partners welcomes University of Missouri and ENZA Fruit New Zealand
We are happy to announce two new customers for our software tools E-Brida (Breeding) and Mercado (Commercial variety and trial management). The University of Missouri started working with E-Brida to support their breeding processes. The users of the University of Missouri begin with the implementation of chestnut in the breeding tool E-Brida. ENZA Fruit […]
Getting to know Vera Claassen
As part of a team of bioinformaticians, I will be supporting clients in the effective use of large amounts of data. This can of course be genotypic data, but I also like to sink my teeth into a large set of production or marketing data.