Your science.
Your data.
Your rules.

Drug development is complex. Working with your data should not be.

We help scientists, data specialists, and project managers in early-stage drug development make fragmented research data usable by structuring it across studies and systems.

Use grit Scientific Research Management Platform (open source) to collect, align, and store research data from multiple sources in a consistent, structured way.
Use gritSEND to store, query, and analyse your SEND data across studies and get more value from data you have already generated.

Turning fragmented data into structured insight

Most research data in early-stage drug development is fragmented across systems, studies, and formats.

We bring that data together and structure it in a consistent way, so it can be accessed via API, compared, used in AI models, etc.

SEND shouldn’t stop at submission

SEND is often treated as a regulatory requirement, but it also provides a structure you can utilise to get the most out of your data.

With gritSEND your SEND data becomes accessible, queryable, and reusable - not just something you submit and store.

We call it scientific software for humans

Scientific software for humans – made by humans. And Marvin.

We hate software that’s overly complex because no one bothered to actually understand the domain they’re in. So if you’re tired of broken workflows in your software and headaches from endless import – export, we might be your new best friend.

Built on an open source platform

The products we create are all built on our open source platform.

You can build your own products on top, or we can help develop what you need and support your installations.

Read about grit Research Data Management Platform

In the words of...

Words of wisdom shared by our esteemed customers, brilliant collaborators, and valued partners.

grit42 and Zealand Pharma have, for many years, collaborated to effectively report Zealand Pharma’s animal use to the authorities.

Recently, we have been able to further increase our efficiency with the addition of a new overview module that has simplified our ability to track how many rodents we have in our facilities and to plan future study capacity.”

Bill Vestergaard

Principal Scientist, Zealand Pharma

grit42 has given our project team access to enterprise level software tools for data management, archiving and analysis which are uniquely able to work with discovery, clinical and clinical data sets in an interoperable environment.

They are a great company and we are very proud to collaborate with them to try and improve the process of antibiotic drug discovery through the implementation of FAIR data management and tools.

Philip Gribbon

Head of Discovery Research at Fraunhofer ITMP

grit42 is providing the IMI ERA4TB project with innovative, flexible data management solutions that greatly facilitate the handling of the variety of complex drug discovery and development datasets needed to support world-class TB research.

Carlos Diaz

Founder & CEO, Synapse Research Management

Based on our experience and the ability to organize all data types in a consistent fashion, this platform can be a key tool for any researcher to address key scientific questions within the areas of drug development and translational research activities.

Patrick O'Meara

Data Team Manager, C-Path

As our research in Nucleic acid-based medicine involves data generation from biological and in silico experiments, both from several different sources, it is of utmost importance that our data consolidation process is streamlined and that the stored data is easily accessible, which is what we get with grit42.

Søren Rasmussen

Director Neuroscience Discovery, Contera Pharma

We see a great potential in applying state-of-the-art data management and data integration to leverage our R&D activities and improve our decision making. To strengthen these capabilities, we selected grit42 as our strategic software partner.

Thorsten Thormann

VP of Research, LEO Pharma

For identification of phenotypes of mutants, we use the high-throughput phenotypic microarrays from OmniLog®. The Growth Curves app from grit42 offers a nice and interactive way to analyse this data as well as making our analysis workflow 15 times faster!

Michael Mourez