Easy storage, query, and analysis of your non-clinical SEND data

Increase the impact of your non-clinical research data with a SEND database designed for easy filtering, querying, cross-study analysis, and visualisation.

Storage and analysis of SEND data used to be complex and expensive, but with gritSEND, we offer a simpler, yet powerful alternative.

gritSEND is an SDTM module and an add-on to our open source platform, and it can be customised to serve your organisation's specific needs.

Store, query, analyse, decide

With a database for your organisation's SEND data and the ability to easily analyse it, you get a path to faster, better decisions.

Having aligned data in a standardised format and the ability to access, query, analyse, visualise, and share the data across the organisation will help you accelerate your drug research.

gritSEND is built on top of our open source Research Data Management Platform and will be customised with the visualisations you need - no more, no less.

Add as many users as needed. Pay only for deployment, custom dev, and maintenance/support.

Define your SEND domains
Upload and store your SEND data
Browse and filter data per SEND domain
Simple query form across SEND domains - no SEND knowledge needed. Predefined fields and drop-downs
Advanced subject query combining columns from the individual domains with and/or operations
Store and share queries in the platform
Data access via documented API
In-platform user manual

gritSEND and the Open Source Platform

Have a look inside gritSEND

A loaded LB domain with 36,000 records

How to use the database for simple queries

The gritSEND database serves as the central platform in the VICT3R project.

In the May 2026 ECHA Science Seminar "Virtual control groups in pre-clinical toxicity studies", project lead Thomas Steger-Hartmann explains how study directors can easily use the database to find out if they can replace a concurrent control group with a virtual control group for their studies.

Watch the video

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

Bacterial Infections Group Head at EVOTEC