Today, the crucial question is how AI can be used in a meaningful, legally compliant, and sustainable way. While some companies continue to rely on in-house developments, early adopters have already gained extensive experience with the integration of AI functions.
Whether media companies or software companies, AI must now be introduced in many areas and, ideally, deeply embedded in existing structures and workflows. For them, AI is not an isolated feature, but an integral part of their own products. What is needed, therefore, is a robust AI infrastructure that can be seamlessly integrated into existing software architectures. AI platforms such as DeepVA address precisely this need and offer one advantage: experience.
Experience meets regulation: AI platforms in the European context
The EU AI Act provides companies with a binding legal framework for the use of artificial intelligence for the first time. The aim is to strengthen transparency, security, and accountability—especially for AI systems with increased risk. For many companies, this raises a key question: Should they develop their own AI platform or use one provided by a third party?
In practice, AI platforms are often the more sensible choice under the new regulatory requirements. The EU AI Act entails extensive obligations, such as documentation, traceability, data governance, and ongoing monitoring of AI systems. With in-house development, this responsibility lies entirely with the company – including legal risks and liability issues.
AI platforms, on the other hand, are generally designed to be compliant by design. They already integrate functions such as audit trails, monitoring, transparency mechanisms, and regular updates to meet regulatory requirements. This means that much of the regulatory complexity is borne by the platform provider, which significantly reduces the burden on companies.
Added to this are aspects such as time-to-market and cost-effectiveness: while in-house developments require high investments, specialized personnel, and long-term operating structures, platforms enable fast, predictable, and scalable AI deployment. This allows companies to focus on specific use cases and added value instead of infrastructure and compliance details.
Digital sovereignty through controllable AI infrastructure
At the same time, our digital sovereignty is becoming increasingly important. For media companies and software providers, this means controlling data, models, and workflows, as well as avoiding long-term dependencies on ecosystems that can be influenced by geostrategic upheavals. Our DeepVA system keeps your data in your infrastructure, does not perform model training on your data, and can even be operated airgapped in your basement if necessary.
In return, of course, operating your own AI systems involves considerable effort: scaling, maintenance, performance, and regulatory compliance. A platform-based AI toolbox acts as an infrastructure layer, sustainably relieving organizations of their workload and enabling the implementation of their own AI infrastructure without external access. Added to this is the bonus of experience in the design and user guidance of the platform, which has benefited from many feedback loops over the years.
Long-term stability instead of short-term AI projects
And we haven’t even talked about the biggest challenges of developing your own software: Who will take care of updates, product development, and support in a few years’ time if the stability of the software is to be guaranteed? Many AI projects underestimate the requirements necessary to create stable structures that offer security for years to come. This is especially true when, as in our environment, there is so much to gain from open source. Our developers and technicians are your direct point of contact as a platform, available around the clock if necessary, and are constantly working on further developing the functions.
Future-proofing means not only technological relevance, regulatory adaptability, and independence from geopolitical upheavals, but always a triad. An AI platform like DeepVA makes it possible to find exactly this balance and benefit from experience—in an area that is still uncharted territory for many.
