diff --git a/Readme.md b/Readme.md
index dee3908cfa7be5d006aae81ad75ef35139fbd741..ed8b36df83a4dda1502c63fa22cb68a608bea29b 100644
--- a/Readme.md
+++ b/Readme.md
@@ -38,11 +38,11 @@ If you only want to use some of the frameworks, please install the packages list
 ## odes2py
 To install the converter without downloading the examples, [download this file](https://gitlab.liu.se/willo18/alternative-modelling/-/raw/master/odes2py.py?inline=false). Otherwise download/clone [the full git project](https://gitlab.liu.se/willo18/alternative-modelling/). To convert to SBML you need to either install [Tellurium](#tellurium-via-antimony) or [yaml2sbml](#yaml2sbml) (see instructions below).  
 
-## MeDigiT
+## SUND
 First, install numpy (`pip install numpy`), then follow the instructions on how to install [MeDigiT](https://gitlab.liu.se/ISBgroup/Toolboxes/medigit). If you have git already installed, you can most likely install both numpy and MeDigiT via the following command: 
 ```
-pip install numpy && git clone https://gitlab.liu.se/ISBgroup/Toolboxes/medigit.git 
-cd medigit && pip install . && cd ..
+pip install numpy && git clone https://gitlab.liu.se/ISBgroup/Toolboxes/sund.git 
+cd sund && pip install . && cd ..
 ```
 (note the dot at the end)
 After the installation, the downloaded `medigit` folder can be deleted. 
@@ -74,4 +74,4 @@ This modeling framework is not based on python, rather a computational language
 Packages for Julia can be easily installed from within the language. Either launch the Julia console and [enter the pkg REPL, and install](https://docs.julialang.org/en/v1/stdlib/Pkg/) the package via: `add DifferentialEquations`, or add the package directly from the script you are running (see julia/main.jl) for an example of this. 
 
 ## Casadi
-Casadi can be downloaded from [here](https://web.casadi.org/get/). [Version 3.4.5 is also available in the MATLAB/Casadi folder](https://gitlab.liu.se/willo18/alternative-modelling/-/tree/master/Examples/MATLAB/Casadi/casadi-3.4.5). 
\ No newline at end of file
+Casadi can be downloaded from [here](https://web.casadi.org/get/). [Version 3.4.5 is also available in the MATLAB/Casadi folder](https://gitlab.liu.se/willo18/alternative-modelling/-/tree/master/Examples/MATLAB/Casadi/casadi-3.4.5).