Intelligent Solutions and Research
 

OUR TECHNOLOGY

THE WARP SEARCH
THE TECH STACK
THE RESEARCH

This superfast search engine lets you locate your files and folders in a blink of an eye.

The solution is built in the modern programming language Go and uses concurrency and parallel computing in order to distribute the work to all of your machine's cores.

This is a highly optimized search algorithm...
 

At DMT we use several different technologies including Python, Go, Rust, Julia, Docker and Neo4j to name a few.

We believe in choosing the right tool for the job!

Through several publications, DMT aims to teach people mathematics, programming and technology. 

Our main writer, Kasper R.B. Müller has published 40+ articles on Medium. Some of the articles are educational and some of them are research-based but always with the reader in mind. 

Screenshot from 2021-09-02 14-15-40.png
 

MEET DEEP MATH TECH

OUR STORY

We at Deep Math Tech has always been passionate about helping others through knowledge and technology. 

The foundation of knowledge is research so we devote a lot of time to raw research into mathematics, programming and technology. 

We will share most of the findings through articles but once in a while, we'll develop a product that we think would help many people in their daily lives.

The articles and the research started in 2020 and now we are launching a company whose purpose is to share that with the World.

OUR VISION

We want to transform the lives of many people for the better.

 

We will accomplish this by leveraging automation algorithms to do the boring stuff and by teaching difficult subjects in a entertaining but serious manner.

OUR TECHNOLOGY

Our tech consists of several programming languages, with Python and Go as the most used ones.

We will focus on solving problems involving data.

Some of the tools we use include Tensorflow for deep learning and Go's concurrency model for much of the cli automation solutions.

 
graph_python_edited_edited.png

GRAPH TECHNOLOGY

Optimize and review code with graph technology

With the help of graph databases such as Neo4j, we are able to locate dead code, redundant calls and test scores to name a few of the benefits by using this technology. 

Products of this type will come out soon.

Make beautiful posters containing your Pyhton code as a graph

Besides the usefulness of graph databases for dependency management in the repository, we create beautiful posters that you can put in a project or on a back wall at the office.

 
 

REQUEST DEMO

Please fill your contact details below:

Thanks for submitting!

 
logo_edited_edited_edited.png