We drive intelligent innovation. For a better tomorrow. We are Ainovate.

Ai for good

Responsible AI for your needs.

We believe that data-driven applications fundamentally improve processes. Our strategies and models are based on the principle of secure and conscientious use of data. This way, we develop customized AI applications that strategically position businesses for the future and drive innovation forward.







Our values

We keep our values high and your forecast errors low.

Our values reflect who we are and what we want to achieve as a company.
With our mission in mind, we are not only continuously working on exciting projects, but also on ourselves. Through trust, authenticity and humanity, we create an open corporate culture both internally and externally that invites people to develop and help shape the company;
We believe that with data-driven applications we can not only constantly make better decisions, but also improve the world.
Our work in logistics, healthcare management, and finance demonstrates how data science and artificial intelligence can help address key global challenges in a sustainable way.

We are proud to represent these values as a company and to make a meaningful contribution to a future worth living.


The human being in the center.

We are aware that Artificial Intelligence will have a profound impact on the world. That is why we are actively committed to ensuring that our AI solutions are based on ethical principles that prioritize transparency, accountability and fairness.
An AI solution is only truly responsible if it is based on clear ethical guidelines and human values from the start. Our experts in Data Science, Machine Learning and AI work closely with our clients to ensure that the AI applications we develop are ethical and ethical;
Education and outreach are an important part of our mission. Therefore, we are committed to educating our customers and the public about the opportunities and impacts of AI technologies;


There is currently no definition of artificial intelligence. Last but not least, it does not seem possible because artificial intelligence is based on concepts such as the human brain, intelligence and human consciousness that have not yet been sufficiently well understood.
The greatest advance in science to date in the field of AI is the transfer of the neural structure of the brain to the computer level. Thanks to the computing power available today, it is possible to feed machines with large amounts of data and use neuron-based algorithms to solve problems that come surprisingly close to a fantasy film (Chat GPT, Siri or Alexa).
What is still missing from machine consciousness and what constitutes it remains unclear. Although there are mind games like the Turing Test, which test the functionality of the AI ​​against a human, they cannot be a test of consciousness. The biggest criticism of the Turing Test is that it measures a person's susceptibility to deception rather than the functionality of the machine.
In addition to classic prediction algorithms such as neural networks from the deep learning area, another branch of AI has been established with the availability of computing power: reinforcement learning. Reinforcement learning allows an actor (machine/robot) to learn desired actions in a measurable environment (game or reality). The quality of the actions or problems caused by wrong decisions is evaluated in the learning process using the so-called reward/penalty function. If you let the experiment learn long enough with a well-thought-out reward/penalty function, i.e. iterate the process and save which actions in which environment were punished or rewarded accordingly, an AI can be trained. For example, board game algorithms or autonomous driving were developed.
Reinforcement learning and the urge for rewards are seen by critics as a potential dystopia for AI, as it could show no mercy in a possible resource competition with humans if training is careless or even uncontrolled.
We cannot answer whether machines are able to imitate or achieve human consciousness. If the theory is correct that human consciousness and emotions arise through ad-hoc information processing and short-term predictions of environmental conditions, a solution to the question could not be too far away. This is exactly the point in which machines are already superior to the human brain due to their immense computing capacity. In particular, the AI ​​area of ​​predictive modeling has been advanced, its areas of application are limitless and through Ainovate it is more accessible to you than ever before.

Our Team

The drive behind our mission.

Motivated by big visions, pioneering spirit and passion – every day, with every line of code and every data set from which innovation emerges.

Maximilian Schneider

Managing Director

Dr. Kay Stankov

Head Of Data Science & AI

Franziska Pilz

Administration & Project Management

Leonard Grebe

Data Science & AI

Johannes Kleinschmidt

Intern Data Science

Prof. Dr. Julia Zwank

Subject Matter Expert

Lis Qosja


Dr. Philip Neudert

Subject Matter Expert

Carlos Lopez Granado

Data Science & AI

Elena Stahl

Communication Manager

Prof. Dr. Jonas Vogt

Subject Matter Expert

Jendrik Worlitz

Event Manager

Hannah Zimmer

Marketing Manager


Do you want to find out more about the use of AI in your company? We would like to invite you to a non-binding initial meeting and show you further possible applications for your company.