About us

Get to know the people behind the algorithms!

History

Find out how it all began and what milestones we have already achieved!

Despite the company’s young history, we can look back fondly on a few highlights. From the founda­tion, to our first govern­ment research project, to the corpo­rate redesign, every­thing is included.

from 1997

FREELAN­CING

After holding various positions at large compa­nies in Germany and abroad, our future founder Michael Mederer decided to design mathe­ma­tical algorithms on a freelance basis for various clients. The disci­pline of "data science" did not exist for a long time back then.

09.2018

Founda­tion of m2hycon UG

Michael Mederer founded m2hycon UG in September 2018 with the prospect of a govern­ment-funded research project and the associated build-up of employees.

03.2019

First research project

The govern­ment-funded research project was actually won and the first employees were hired. A team of four people set about develo­ping custo­mized algorithms.

05.2019

Digital Hub Logistics

We have been a member of the Digital Hub Logistics Hamburg since May 2019. As we operate across all sectors, we also feel parti­cu­larly at home in logistics due to our location and network with numerous logistics compa­nies.

07.2019

Acqui­ring new custo­mers

In addition to our research project, we can quickly convince new custo­mers of our capabi­li­ties. The number of employees is also growing and, due to the excel­lent prospects, we are tackling the trans­for­ma­tion into a limited company.

11.2019

Opening of the office in Hamburg

The office room that was initi­ally rented as a sublet quickly becomes too small. The path leads us via co-working spaces to our current office in Deich­straße in Hamburg. Lovingly furnished and even with a view of the Elbphil­har­monie, the office still delights us today.

01.2020

Data Enginee­ring

We realize relatively quickly that our custo­mers have a great need for data enginee­ring exper­tise and expand our range of services accor­dingly. A win-win situa­tion: our custo­mers receive all services from a single source and our data scien­tists can concen­trate on their core compe­tence, the develo­p­ment of algorithms.

05.2020

The team is growing

After less than two years, we have grown from four to ten employees. Even a global pandemic cannot change this. Everyone enjoys full confi­dence and job security, even in diffi­cult times.

06.2021

m2hycon blog starts

In order to provide our custo­mers with infor­ma­tion and sugges­tions outside of our day-to-day project business, we are launching our m2hycon blog with topics relating to data science and data.

01.2022

Software develo­p­ment

Because our custo­mers want more and more from us in addition to our existing services, we are expan­ding our range of services to include software develo­p­ment. This enables us to develop complete AI products from a single source.

11.2022

Redesign of the brand identity

It's about time: after four years of m2hycon, we are finally launching our new design and website. We can easily identify with this fresh, innova­tive and creative look 😉

02.2023

Twenty employees

The 20th team member starts at m2hycon this month. The conti­nuous expan­sion of our services, close coope­ra­tion with our custo­mers and the constant acqui­si­tion of new custo­mers allow us to continue to grow. We are delighted to have such a large and diverse team.

DNA

What makes us special? What do we stand for? What can you expect?

Especi­ally as a young company, we think about what we (want to) stand for and how we can make the world we live in a little bit better. Even if our influence is limited, we give 100% for this goal every day.

In this day and age, it is important and neces­sary that we look at our footprint in the world. At m2hycon, we focus on sustaina­bi­lity in many respects. On the one hand, this refers to our ecolo­gical footprint, which we are constantly trying to reduce, be it through home office offers, the use of sustainable products or the avoid­ance of unneces­sary compu­ting power. On the other hand, we also focus on sustaina­bi­lity in our colla­bo­ra­tion with our custo­mers. We usually support our clients over several years in order to bring about lasting change. This is reflected in our values.

  • INTEGRA­TION

    No, we are not talking about integral calculus 😉 Integra­tion is important to us from two diffe­rent perspec­tives. On the one hand, we are an inter­cul­tural team that can only be so successful, colorful and lovable in the compo­si­tion of this diver­sity. On the other hand, the integra­tion of our algorithms into the organiza­tion, processes and IT systems of our custo­mers is critical to our success.

  • MOTIVA­TION

    We are a team of mathe­ma­ti­cians and scien­tists who are passio­nate about solving complex real-life problems. To do this, we use mathe­ma­tics to identify under­lying struc­tures and make them usable. There is nothing better for us than an algorithm that creates added value in the real business world. We have set out to prove the power of mathe­ma­tics to solve the problems of down-to-earth compa­nies.

  • CREATI­VITY

    Creati­vity is one of the most important charac­te­ristics of our data scien­tists. Unfort­u­na­tely, we see far too often that data scien­tists are used as "analysts" who perform tasks that someone else has thought up. But these can only be truly successful if we find creative solutions. We work closely with our clients' decision-makers to provide our creative input from an algorithmic and data perspec­tive.

  • INNOVA­TION

    When compa­nies decide to use custo­mized algorithms, this actually always means innova­tion, because other­wise there would already be a product with the solution. We solve problems with innova­tive approa­ches and ideas. We think big but are still down to earth.

  • INTEGRA­TION

    No, we are not talking about integral calculus 😉 Integra­tion is important to us from two diffe­rent perspec­tives. On the one hand, we are an inter­cul­tural team that can only be so successful, colorful and lovable in the compo­si­tion of this diver­sity. On the other hand, the integra­tion of our algorithms into the organiza­tion, processes and IT systems of our custo­mers is critical to our success.

  • MOTIVA­TION

    Solve real-life problems. To do this, we use mathe­ma­tics to identify under­lying struc­tures and make them usable. There is nothing better for us than an algorithm that creates added value in the real business world. We have set out to prove the power of mathe­ma­tics to solve the problems of down-to-earth compa­nies.

  • INNOVA­TION

    When compa­nies decide to use custo­mized algorithms, this actually always means innova­tion, because other­wise there would already be a product with the solution. We solve problems with innova­tive approa­ches and ideas. We think big but are still down to earth.

  • CREATI­VITY

    Creati­vity is one of the most important charac­te­ristics of our data scien­tists. Unfort­u­na­tely, we see far too often that data scien­tists are used as "analysts" who perform tasks that someone else has thought up. But these can only be truly successful if we find creative solutions. We work closely with our clients' decision-makers to provide our creative input from an algorithmic and data perspec­tive.

  • INTEGRA­TION

    perspec­tives are important. On the one hand, we are an inter­cul­tural team that can only be so successful, colorful and lovable in the compo­si­tion of this diver­sity. On the other hand, the integra­tion of our algorithms into the organiza­tion, processes and IT systems of our custo­mers is critical to our success.

  • MOTIVA­TION

    We are a team of mathe­ma­ti­cians and scien­tists who are passio­nate about solving complex real-life problems. To do this, we use mathe­ma­tics to identify under­lying struc­tures and make them usable. There is nothing better for us than an algorithm that creates added value in the real business world. We have set out to prove the power of mathe­ma­tics to solve the problems of down-to-earth compa­nies.

  • CREATI­VITY

    Creati­vity is one of the most important charac­te­ristics of our data scien­tists. Unfort­u­na­tely, we see far too often that data scien­tists are used as "analysts" who perform tasks that someone else has thought up. But these can only be truly successful if we find creative solutions. We work closely with our clients' decision-makers to provide our creative input from an algorithmic and data perspec­tive.

  • INNOVA­TION

    When compa­nies decide to use custo­mized algorithms, this actually always means innova­tion, because other­wise there would already be a product with the solution. We solve problems with innova­tive approa­ches and ideas. We think big but are still down to earth.
Team

Our unique team is there for you and looks forward to meeting you!

m2hycon - Michael Mederer

Dr. Michael Mederer

Chief Execu­tive Officer

m2hycon - Till Jäkel

Till Jäkel

Chief Opera­ting Officer

Dr. Sara Rydbeck

Decision Intel­li­gence Consul­tant

Dr. Aleksei Kurgansky

Applied Mathe­ma­ti­cian

Karolina Ziomek

AI Engineer

Torben Windler

Lead AI Engineer

Dinesh Kumar Selvaraj

Data Engineer

Elisa Jäger

Full Stack Developer

Mohamed Abdel­wahab

Data Engineer

Prottay Deb Nath

ML Engineer

Khouloud Sallami

Data Scien­tist

Tobias Krämer

Lead Data Scien­tist

Mark Willoughby

Data Scien­tist

Konrad Thomas Krahl

Data Scien­tist

Hazem Ahmed

Data Scien­tist

Dr. Stanislav Khrapov

Lead Data Scien­tist

Oscar Morillo Victoria

Chief Techno­logy Officer

Natalia Grinberg

Lead Data Scien­tist

Data Scientist @m2hycon - Niclas Erben

Niclas Erben

Data Scien­tist

Franca Marcia Mederer

Working Student Data Science

Sulamith Antal

Manage­ment assis­tance

Career

Chall­enge meets modern workplace in a produc­tive environ­ment

We look forward to welco­ming open-minded, creative and inspired people who will optimally comple­ment our team with commit­ment and know-how for existing and future projects.

Who we are…

m²hycon is a modern data science consul­ting firm and a well-connected estab­lished company that offers compe­tent AI consul­ting at the highest mathe­ma­tical level. We cover the full range of mathe­ma­tical modeling, algorithms and AI methods. Our custo­mers include the digital divisions of large compa­nies on the one hand and exciting start-ups from a wide range of sectors, e.g. logistics, tourism, retail, energy and infra­struc­ture, on the other.

What we do…

Our assign­ments range from initial concept develo­p­ment, proto­ty­ping and proof of concept to the creation of profes­sional produc­tion code, inclu­ding embed­ding the imple­mented methods in newly defined workflows and processes of existing IT infra­struc­tures and/or cloud systems. To develop our specia­lized solutions, we use agile project manage­ment methods in close coope­ra­tion with our custo­mers.

m2hycon - Michael Mederer

Dr. Michael Mederer

Chief Execu­tive Officer

Tasks

Data science activi­ties form the basis for all our data science projects and include the design and imple­men­ta­tion of mathe­ma­tical algorithms in the areas of statis­tical forecas­ting, linear and non-linear optimiza­tion, metaheu­ristics and machine learning methods such as neural networks.

The task generally begins with the customer’s requi­re­ments. This requires a quick grasp and rapid familia­riza­tion with the industry, the appli­ca­tions and processes as well as the goals of our custo­mers. In the modeling phase, imple­men­ta­tion propo­sals are to be developed through creative idea genera­tion and imple­mented in an itera­tive, agile manner. Depen­ding on customer requi­re­ments and project size, this work takes place in small or larger teams. Most of the imple­men­ta­tion takes place in a cloud environ­ment in the Python language. This requires knowledge or the rapid learning of libra­ries such as Numpy, Pandas, PySpark, Scikit-learn, Tensor­Flow and Keras, PyTorch. Basic knowledge of databases and cloud compu­ting is an advan­tage.

Quali­fi­ca­tion

Minimum 3 years of profes­sional experi­ence in the field of data science
Good, efficient commu­ni­ca­tion and successful teamwork
Proven ability to independently learn new methods and algorithms in the field of data science.
Creati­vity and enjoy­ment in sharing experi­ences and impar­ting knowledge

Benefits

Our office is located in beautiful Hamburg, close to the River Elbe and the Speicher­stadt warehouse district. We offer a colle­gial working atmosphere with flat hierar­chies, great helpful colle­agues, pleasant commu­ni­ca­tion and extre­mely satis­fied custo­mers. Our employees come from diffe­rent cultural backgrounds and we are united by a passion for mathe­ma­tics and the develo­p­ment of intel­li­gent & integrated solutions.

Our indivi­dual flexi­bi­liza­tion and work-life fusion in the workplace (remote and on-site) offers employees indivi­dual oppor­tu­ni­ties to organize their working hours as effec­tively as possible in order to enable optimal project work as well as optimal integra­tion of working hours into their personal everyday lives. All employees are also equipped with state-of-the-art tools and receive free drinks and fruit in the office.

We store and use the data you enter in the form exclu­si­vely for proces­sing your request. Your data is trans­mitted in encrypted form. We process your personal data in accordance with our privacy policy.

Tasks

Data enginee­ring forms the basis for all our data science projects and covers the entire concep­tion and imple­men­ta­tion of modern (big data) data processes and high-perfor­mance cloud archi­tec­tures. This includes the design of cloud archi­tec­tures for new projects, the automa­tion of deploy­ment processes, the modeling and scaling of databases, the construc­tion of data pipelines and inter­faces as well as the support and further develo­p­ment of running systems (DevOps). Tools and techno­lo­gies from a wide range of areas should be used and/or it should be possible to quickly familia­rize oneself with new tools.

  • Cloud techno­lo­gies such as AWS, Azure, Google, etc
  • Big data techno­lo­gies (Apache Spark, Hadoop)
  • Databases (noSQL, relational databases)
  • ETL and version manage­ment tools

In the senior role of our data enginee­ring team, you will be respon­sible for independently defining and speci­fying company standards for m2hycon and conti­nuously imple­men­ting requi­re­ments for our ongoing projects. Due to the variety of diffe­rent requi­re­ments and projects, the job promises a conti­nuous expan­sion of knowledge as well as a growing team.

Quali­fi­ca­tion

  • Minimum 3 years of profes­sional experi­ence in data enginee­ring, cloud archi­tec­ture, solutions archi­tec­ture.
  • Good, efficient commu­ni­ca­tion.
  • Proven ability to independently learn new techno­lo­gies and methods of data enginee­ring accor­ding to the acquired customer projects.
  • Creati­vity and enjoy­ment in sharing experi­ences and impar­ting knowledge


Benefits

Our office is located in beautiful Hamburg, close to the River Elbe and the Speicher­stadt warehouse district. We offer a colle­gial working atmosphere with flat hierar­chies, great helpful colle­agues, pleasant commu­ni­ca­tion and extre­mely satis­fied custo­mers. Our employees come from diffe­rent cultural backgrounds and we are united by a passion for mathe­ma­tics and the develo­p­ment of intel­li­gent & integrated solutions.

Our indivi­dual flexi­bi­liza­tion and work-life fusion in the workplace (remote and on-site) offers employees indivi­dual oppor­tu­ni­ties to organize their working hours as effec­tively as possible in order to enable optimal project work as well as optimal integra­tion of working hours into personal everyday life. All employees are also equipped with state-of-the-art tools and receive free drinks and fruit in the office.

We store and use the data you enter in the form exclu­si­vely for proces­sing your request. Your data is trans­mitted in encrypted form. We process your personal data in accordance with our privacy policy.

Tasks

Data enginee­ring forms the basis for all our data science projects and covers the entire concep­tion and imple­men­ta­tion of modern (big data) data processes and high-perfor­mance cloud archi­tec­tures. This includes the design of cloud archi­tec­tures for new customer projects, the automa­tion of deploy­ment processes, the modeling and scaling of databases, the construc­tion of data pipelines and inter­faces as well as the support and further develo­p­ment of running systems (DevOps). Tools and techno­lo­gies from a wide range of areas should be used and/or it should be possible to quickly familia­rize oneself with new tools.

  • Cloud techno­lo­gies such as AWS, Azure, Google, etc
  • Big data techno­lo­gies (Apache Spark, Hadoop)
  • Databases (noSQL, relational databases)
  • ETL and version manage­ment tools

Due to the large number of diffe­rent customer requi­re­ments and projects, the job promises a conti­nuous expan­sion of knowledge and a growing team.

Quali­fi­ca­tion

  • Minimum 1 year of profes­sional experi­ence in data enginee­ring, cloud archi­tec­ture, solutions archi­tec­ture.
  • Good, efficient commu­ni­ca­tion.
  • Proven ability to independently learn new techno­lo­gies and methods of data enginee­ring accor­ding to the acquired customer projects.
  • Creati­vity and enjoy­ment in sharing experi­ences and impar­ting knowledge

Benefits

Our office is located in beautiful Hamburg, close to the River Elbe and the Speicher­stadt warehouse district. We offer a colle­gial working atmosphere with flat hierar­chies, great helpful colle­agues, pleasant commu­ni­ca­tion and extre­mely satis­fied custo­mers. Our employees come from diffe­rent cultural backgrounds and we are united by a passion for mathe­ma­tics and the develo­p­ment of intel­li­gent & integrated solutions.

Our indivi­dual flexi­bi­liza­tion and work-life fusion in the workplace (remote and on-site) offers employees indivi­dual oppor­tu­ni­ties to organize their working hours as effec­tively as possible in order to enable optimal project work as well as optimal integra­tion of working hours into their personal everyday lives. All employees are also equipped with state-of-the-art tools and receive free drinks and fruit in the office.

We store and use the data you enter in the form exclu­si­vely for proces­sing your request. Your data is trans­mitted in encrypted form. We process your personal data in accordance with our privacy policy.

Impres­sions

A cozy atmosphere in the middle of old Hamburg townhouses: our office in Hamburg

Location

We look forward to a direct exchange with you – you are also welcome to meet us in person here.

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m2hycon GmbH

Deich­strasse 19
20459 Hamburg
+49 (0)40 – 369 397 93
ed.no1734122097cyh2m1734122097@grub1734122097mah1734122097

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Projektanfrage

Vielen Dank für Ihr Interesse an den Leistungen von m²hycon. Wir freuen uns sehr, von Ihrem Projekt zu erfahren und legen großen Wert darauf, Sie ausführlich zu beraten.

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Project request

Thank you for your interest in m²hycon’s services. We look forward to hearing about your project and attach great importance to providing you with detailed advice.

We store and use the data you enter in the form exclusively for processing your request. Your data is transmitted in encrypted form. We process your personal data in accordance with our privacy policy.