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

About us

Tailored AI solutions for your needs.

We firmly believe that data-driven applications fundamentally enhance business processes. That's why we develop intelligent pipelines that collect data, analyze it, and identify patterns. In doing so, we help companies make better decisions.







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;


A definitive definition of artificial intelligence does not exist yet. Notably, it seems challenging to achieve, as artificial intelligence is based on concepts such as the human brain, intelligence, and consciousness, which are not yet fully understood.
The biggest advance of science in the AI field so far is the transfer of the neuronal brain structure to the computer level. Thanks to the computing power available today, it is thus possible to feed machines with large amounts of data and use neuron-based algorithms to solve problems that are already surprisingly close to a fantasy movie (chat GPT, Siri or Alexa).
What is still missing for machine consciousness and what constitutes it at all remains to be clarified. While there are schools of thought such as the Turing Test, which test the functionality of AI against a human, it cannot be a test for consciousness. The biggest criticism of the Turing Test is that it measures a human's susceptibility to deception rather than the machine's functionality.
In addition to classical prediction algorithms such as neural networks from the deep learning area, reinforcement learning has established itself as a further branch of AI with the availability of computing power. Reinforcement learning lets an actor (machine / robot) learn desired actions in a measurable environment (game or reality). The goodness of the actions or problematic due to wrong decisions is evaluated in the learning process with the so-called reward/penalty function. If the experiment is allowed to learn long enough with well thought-out reward/penalty function, i.e., iterate the process and store which actions were punished or rewarded accordingly in which environment, an AI can be trained. For example, board game algorithms or autonomous driving were developed this way.
Reinforcement learning and the drive for reward is seen by critics as a potential dystopia of AI, as it could know no mercy in a potential resource competition with humans if trained carelessly or even uncontrollably.
Whether machines are capable of imitating or acquiring human consciousness is a question we cannot answer. If the theory is correct that human consciousness and emotions arise from ad-hoc information processing and short-term predictions of environmental conditions, then a solution to the question may not be too far off. Indeed, this is precisely the point where machines are already superior to the human brain due to their immense computational capacity. In particular, the AI field of predictive modeling is advanced, its application areas limitless and, through Ainovate, accessible to you as never 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


Dr. Kay Stankov

Head Of Data Science

Franziska Pilz

Administration & Project Management

Leonard Grebe

Data Science

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