Many companies would like to use AI tools such as ChatGPT, Claude or Gemini – but they quickly come up against data protection barriers. But how can powerful AI models be used without compromising sensitive data?
This is precisely where the Kiel-based start-up anymize comes in. The solution it has developed makes it possible to use AI models in a way that complies with data protection regulations – without any extra effort on the part of businesses. Sensitive data is automatically identified and anonymised before being sent to the AI. Once processing is complete, anymize restores the original data. The entire process is automated and takes just seconds, whilst the contextual meaning is preserved.
With anymize, companies gain access to all common AI models via a central interface – in compliance with data protection regulations, flexibly and at no extra cost per model. This makes the use of AI in everyday business not only secure, but also practical.
Source: anymize
Behind anymize is an experienced team: Nikolai Raitschew, currently still a Year 12 student and, alongside this, a junior student of economics at Kiel University (CAU), is responsible for technology and management. As a serial entrepreneur and mentor, Nikolai Raitschew brings over 20 years’ experience in the software sector to the table; Petra Vogt has decades of expertise in IT management and specialist journalism; and Tim Eisenreich is in charge of sales and new customer acquisition.
Together, they form a strong unit with a clear mission: to make AI simple, secure and responsible to use.
anymize is currently taking part in the second round of our KielRegion.Accelerates accelerator programme, where it is continuing to work on scaling its solution – yet another example of how young teams from the region are driving forward technologies relevant to the future.
We asked anymize in more detail how they have been supported so far on their journey through Kiel’s start-up scene, both financially and professionally, and what they think makes Kiel such a special business location.
Kiel is small enough that you know the people who matter. You’re not sitting anonymously in a co-working space with 500 other start-ups. If you need someone, it’s usually just one or two contacts away.
It works well for us. We don’t need the fast pace of Berlin. We need solid customer relationships, and those are easier to build in Kiel because everything is more personal.
We are based at the Kiel Innovation and Technology Centre (KITZ). We make use of the services and events offered by KiWi, KI.SH, WTSH and DiWiSH – primarily to engage with potential customers and other start-up founders.
GLXY supports us with infrastructure and investment. This makes things much easier, as we don’t have to start from scratch. What’s more, our team has a combined total of over 50 years’ experience in developing tech products. This saves us from having to take a few detours.
Our first customers came through contacts in the Kiel scene. Not through cold calling or adverts, but because someone knew someone who had exactly the problem we solve. That’s the advantage of a close-knit network – the lines of communication are short.
The team itself brings a wealth of experience from previous companies. That helps less with “How do we build this?” and more with “What do we leave out?”
Entirely self-funded. No venture capital, no funding schemes.
Our approach: First, demonstrate that people actually want the product. Then decide whether external capital is even necessary. With today’s tools – particularly in the AI sector – you can quickly build a prototype and test whether there is a market for it.
Once there’s traction, the question often shifts: do you really need VC funding? Or is a loan or revenue-based financing enough?
Bootstrapping has one major advantage: you build what customers need. Not what investors want to hear.
Our target audience is broad. Really broad. From chimney sweeps and tax advisors to law firms and auditors. Every industry speaks a different language and has different requirements. That makes marketing and sales a complex undertaking.
On top of that, many potential customers don’t even know what they can do with AI yet. Or they’ve heard that ‘you’re not allowed to do it for data protection reasons’. So we don’t just have to explain our product, but often AI itself first.
So far, we haven’t sought external funding, so we haven’t encountered any difficulties in that regard. The challenge lies more in becoming visible organically – in companies approaching us because they’ve heard of us, not because we’ve called them.
Start by building something and get feedback early on. As soon as you see initial traction, that’s a good sign. But we would never build anything on a larger scale before we’ve received feedback on it.
Especially with AI, you can build prototypes incredibly quickly these days to test whether there’s any demand at all. And once there’s traction, the question often arises as to whether you need external funding at all – or if there’s another way.
The most important thing: really talk to your target audience and understand their needs. It’s not about what you think they need – but what they actually need.
To be honest: recommendations. If you know of any companies that would like to use AI but are hesitating due to data protection concerns, please feel free to put us in touch.
We’d also welcome tips on marketing and sales. That’s currently our biggest challenge. We have a working product and customers who use it extensively – now it’s a matter of raising awareness of this solution.
Anyone with experience in this area or contacts with decision-makers in law firms, tax consultancies or consulting firms is welcome to get in touch with us.
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