In many drug discovery organisations, analysing and evaluating data is a matter of juggling numerous Excel sheets and manually keeping track of the phases of the screening cascade, comparing compounds, and deciding what compounds to move forward. It’s a widely used practice but the drawback is the ...

New release - April 2024 For details regarding new features please refer to the knowledge base. This is a "stabilising" release with a number of improvements and bugfixes but no new features. We are cleaning up and preparing for the feature we will be adding in the next release

The process of curve fitting is a fundamental step in interpreting data in drug discovery, and the process may seem straightforward:

In drug discovery, laboratories generate a lot of data from various pieces of equipment and data systems. Often this data is formatted for a specific use case making it difficult to use efficiently across systems and teams.

Speed of progress is an important parameter in drug discovery. Not just because moving fast is by default good but because there are several potential business benefits of executing the research work highly efficiently.

Watch this video for a short introduction to our gritInVivo application.

In this video Claus Stie Kallesøe of grit42 introduces the gritAnimal application.

Curve fitting is used as the final data analysis step in many plate-based in vitro experiments and is therefore performed several times per week in most research organisations.

New release - February 2024 For details regarding new features please refer to the knowledge base pages. This release include the first draft of the Project tool as well as a number of bugfixes and minor improvements