Titanom

In a technology partnership with Titanom, we take on the research and design of AI use cases that are effective for learning. Based on these concepts, we carry out user tests and collaboratively develop product ideas that can be implemented as software applications. We program these and validate them as part of an agile development process. Depending on the situation, product management is handled either by us or our partners. As part of product development, our partners are responsible for the strategic positioning and initially for financing the project. They also take on the marketing and sales of the newly developed products. We provide for the active involvement of your didacticians, editors and authors in the tasks arising during development in the respective areas.

The composition of the product team is flexible and depends on the specific requirements of the product in question. Depending on the development phase and required skills, the team structure can be adapted accordingly.

Our core competence lies in the synthesis of in-depth educational expertise and technological know-how. Our teams consist of digital education experts, UX designers, UI designers, product managers, software developers and architects.

For maximum transparency, the composition of the teams and the respective areas of responsibility are clearly communicated. Thanks to our project management software, the progress of the individual milestones can be viewed by everyone involved at any time.

Technologies are always selected with the end user in mind. In this context, technology is a catalyst to improve the user experience and is therefore the last link in our decision-making process. We are well versed in all modern web development frameworks as well as in the field of artificial intelligence, which gives us a high degree of flexibility in implementation. If a technology stack is already in place, we can seamlessly adapt to it to make development as efficient as possible.

It is important to understand that we do not train our own AI models or conduct basic research in this area. Instead, we cooperate with various partners who specialize in these areas. By integrating existing AI models into our products, we realize effective learning use cases that enable more “aha” moments for learners.

In the innovation process, it is quite natural that not every approach leads to success from the outset. In fact, recognizing an unsustainable idea early on is a sign of strength and allows us to minimize the risk and associated losses. Our experience shows that a sensitive approach to feedback and risks is essential. It is important to regularly scrutinize your own product vision in order to avoid building castles in the air.

If a prototype is not successful, there are two options: Either we adapt our approach and explore new ways of addressing the original problem, or we come to the joint conclusion that there is no realistic chance of success in the specific market segment. In such a case, it would be in the interest of both parties to consider not entering into a technology partnership in this area. In any case, we will gain valuable insights together that will help us with future projects.

Compliance with the General Data Protection Regulation (GDPR) is not only a legal obligation for us, but also a quality feature. This is particularly true in sensitive areas such as the education sector, where our software is often used in schools and other educational institutions.

The separation of application data and personal data has been an integral part of our software architecture from the very beginning. Our many years of experience in dealing with data protection issues enable us to integrate these aspects seamlessly and automatically into the planning and implementation of all products.

In addition to the internal review, we work closely with specialized data protection experts and lawyers who subject our systems to a thorough compliance audit before they go live. This multi-stage, robust process not only ensures compliance with legal requirements, but also forms the basis for the creation of the respective data processing agreements (DPAs).

We operate in the partner business, but we are not a start-up incubator. Accordingly, we differentiate between two phases: the phase before and after the first euro of revenue from the newly developed product.

In the first phase, we charge our partners monthly for the actual costs incurred, as this best reflects the explorative and flexible nature of our work. In order to minimize the risk for both us and our partners, annual budgets and monthly maximum and minimum amounts are set for each technology partnership.

In the second phase, we consider the success of the partnership to be a given from both sides. From this point onwards, our investment company, Titanom Venture Capital GmbH, also offers the possibility of a financial partnership. We are open to investing in start-ups as well as spin-offs from established companies in order to underline our commitment to mutual success in the education sector.