In the interview with Dr. Tolga Akcay, founder and CEO of AI Coding GmbH

Dr. Tolga Akcay, founder and CEO of AI Coding GmbH, is among the clearest voices when it comes to artificial intelligence, blockchain and digital transformation. His credo: technologies must not only fascinate, but above all create measurable added value. With his new SaaS platform KEYNDEX, he provides the proof – a solution that combines company data with AI-supported analysis and automation tools to give consultants, investors and sales teams a real productivity and decision-making advantage.

In the exclusive interview with Silicon Valley Europe, Dr. Akcay talks about the enormous opportunities AI offers to SMEs – from efficiency gains in processes to entirely new business models. He reveals which practical examples show that AI use already pays off today, where the biggest pitfalls lie in implementation and how companies can overcome them. It’s not just about technical questions, but also about data protection, ethics and security – topics that, for him, are not tedious obligations, but central building blocks for sustainable success.

Especially explosive: his clear stance on the geopolitical dimension of digitalisation. Europe, according to Akcay, must urgently develop its own digital key technologies to reduce dependence on the USA and China. Despite regulatory hurdles, structural disadvantages and difficult access to capital, he sees this not as an excuse – but as a challenge. His goal: to show that the “Silicon Valley Europe” is not just a buzzword, but a real driver of innovation.

Read an interview that inspires, broadens horizons and motivates action – for anyone who wants to shape the digital future, not just observe it.

Silicon Valley Europe: Mr Dr. Akcay, you say: “The USA invents, China copies, the EU regulates.” What prompted you to demonstrate with AI Coding that global AI innovations are also possible from Germany?

Dr. Tolga Akcay: I deliberately chose the phrase “The USA invents, China copies, the EU regulates” because, unfortunately, it often describes the status quo. Yet in Germany and Europe, we have everything we need: highly qualified engineers, excellent research, and a Mittelstand that is a global leader in many industries.

My motivation can be summed up in one sentence: Only those who burn with passion themselves can illuminate the darkness. If we don’t boldly lead the way ourselves, others will take on this role, and we will remain dependent.

“Made in Germany” remains a synonym for precision, quality, and reliability worldwide. International markets greatly appreciate our work – often more than we realize here at home. With AI Coding, I want to show that we can create innovations from Germany that not only keep pace but set new international benchmarks.

Silicon Valley Europe: You recently introduced KEYNDEX, a platform that combines corporate data with AI-powered analysis and automation tools. How exactly does this solution give consultants, investors, or sales teams a measurable advantage?

Dr. Tolga Akcay: KEYNDEX is just the beginning. We plan to develop and bring to market a whole series of additional SaaS projects from Germany. We’re starting with KEYNDEX because it solves an urgent problem: access to reliable corporate data and its intelligent evaluation.

We combine verified company information with AI-powered analysis and automation tools, enabling users to obtain relevant market insights, trends, and concrete recommendations in seconds—rather than spending hours on research.

For consultants, this means developing well-founded strategies faster. For investors: identifying opportunities and risks at an early stage. For sales teams: targeting customers who are most likely to close.

The measurable advantage lies in saving time and resources while increasing the hit rate – precisely what often makes the decisive difference in a highly competitive environment.

Silicon Valley Europe: When we look at the German Mittelstand – where do you currently see the greatest opportunities to use AI and automation as a real growth engine?

Dr. Tolga Akcay: The German Mittelstand is like a sleeping giant. Full of strength, knowledge, and experience, but often held back by old structures and habits. AI and automation are the wake-up call that not only rouses this giant but gives it entirely new possibilities.

The greatest opportunities lie where we fully automate repetitive work and invest the freed-up energy into creativity, innovation, and growth – from intelligent process optimization and predictive maintenance to hyper-personalized customer experiences.

Imagine every employee being able to focus solely on tasks that truly create value – while AI evaluates data in the background, identifies opportunities, and prepares decisions.

I am convinced: In a few years, the use of AI will no longer be the exception, but the standard. The difference will then not lie in whether a company uses AI, but in how smartly and consistently it integrates these technologies into its business model.

Silicon Valley Europe: Can you perhaps give us one or two concrete practical examples where the use of AI in companies was particularly successful – and why these projects worked so well?

Dr. Tolga Akcay: Two examples show particularly well what is possible when AI is used not just as a “technology experiment,” but as a strategic tool.

The first comes from industry: A medium-sized supplier used AI-supported forecasts to optimize its production planning. The result: 18 % lower inventory costs, significantly shorter throughput times, and production that adapts flexibly to demand – almost as if the company had a glimpse into the future.

The second example comes from the consulting sector: A company used our platform to identify the most promising target customers in a new market. The closing rate increased by 39 % because the sales team focused its energy only on contacts with a high probability of success – supported by AI-based prioritization and hyper-personalized communication.

Both cases show: Success comes when AI is not used in isolation, but seamlessly integrated into core processes. It moves from being a “nice-to-have” to an invisible engine that accelerates decisions, focuses resources, and opens up new growth areas.

Silicon Valley Europe: At the same time, we know that the introduction of new technologies does not always run smoothly. What typical stumbling blocks do you encounter when implementing AI – and how can these best be avoided?

Dr. Tolga Akcay: The biggest stumbling blocks rarely lie in the technology itself. They lie in the mindset, in the preparation, and in the implementation.

The first mistake: There is no clear goal definition. Many companies start AI projects because it sounds “modern,” not because they know exactly what problem they want to solve with it. Without a precise goal, any technology becomes an expensive toy.