AI beyond the hype
Everyone wants to do something with AI, but what can AI do for you? We build AI solutions that work so well you might not even notice it.
AI based on strong software engineering
AI moves fast. Every day, it’s capable of more and everyone wants to get on board. But that often leads to wasted investments in unviable experiments. That’s why we build thoughtful, well-engineered AI solutions, following proven principles of software engineering. Our approach is structured with privacy and security by design, ensuring your data always remains yours.
Private and secure
We build ethical AI, thanks to our compliance experts, fully versed in the AI Act.
Future-proof and flexible
We implement modular architecture that adapts easily to new AI opportunities.
Cloud agnostisch
We can deploy AI solutions anywhere: the public cloud, private cloud, or on your own servers.
AI as part of your custom software systems
AI offers enormous opportunities. From productivity gains and cost savings to entirely new possibilities. The question is: what can AI do for you?
Don’t get carried away by the hype: integrate AI solutions that enhance your software systems and workflows.
Our 5-step approach
Step 1
Workshops and brainstorming sessions
In our Innovation Lab, we explore the possibilities of AI together. What’s possible? What’s not? How can AI be applied efficiently? We cut through the hype to find AI applications that will immediately make you more productive.
![[company-name]](https://acc.blub.company/uploads/Online-Marketing-Strategy-iconSvg.co_2025-03-19-090712_jweu.png)
Stap 2
Proof of concept
Is the idea viable? Does it work well enough technically? What challenges do we face? With a proof of concept on which we rapidly iterate, we test the feasibility of your AI solution.
![[company-name]](https://acc.blub.company/uploads/Solution-For-iconSvg.co_2025-03-19-090823_buzi.png)
Step 3
Tool and model selection and technical design
OpenAI, Claude, DeepSeek: which model fits best? Should it run locally or in the cloud? What architecture will we use? We choose the best solution for you to create the right technical design.
![[company-name]](https://acc.blub.company/uploads/Expert-iconSvg.co_2025-03-19-090749_zhrh.png)
Step 4
Building the AI solution
We build a secure, sustainable AI solution that fits seamlessly into your IT landscape. No quick one-size-fits all solutions: we deliver well-built technology that’s ready for real-world use.
![[company-name]](https://acc.blub.company/uploads/star.svg)
Stap 5
Evaluation, learning, and optimization
Once the application is in use, we measure the results. Does the chatbot provide the correct answer, does the model classify correctly? Through human-in-the-loop reviews, we fine-tune the solution and correct the models. We continuously test new models as they come onto the market so we can further optimize the solution.
![[company-name]](https://acc.blub.company/uploads/thumbs-up.svg)
Workshops and brainstorming sessions
In our Innovation Lab, we explore the possibilities of AI together. What’s possible? What’s not? How can AI be applied efficiently? We cut through the hype to find AI applications that will immediately make you more productive.
Our programming languages
From text to images, we develop AI tools to make organizations like yours truly smarter. Our AI solutions are built with Python, R, and Java, each with its own strengths. We use frameworks like TensorFlow, PyTorch, and Mojo to build models that learn, predict, and understand.
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Direct contact with our experts
We believe in direct contact. That's why we'll immediately connect you with the right expert in your sector.
Ivo Jansch
What our colleagues say
"At a time when everyone wants to "do something with AI," it's crucial to integrate AI into your IT landscape in a robust, secure, and architecturally sound way. Typing a prompt into ChatGPT is a great start, but you only truly unlock the power of AI when it's an integral part of your infrastructure, integrated with your core IT systems."
Ivo Jansch
CTO, Dawn Technology
What our colleagues say
“At Dawn Technology, we believe technology only becomes powerful when it’s usable. That’s why we choose languages and models that are fast, scalable, and perfect for developing AI solutions that create value for our customers.”
Jasper Weeteling
Chief Innovation Lab, Dawn Technology
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What steps do you go through when developing an AI solution?
We start with exploring the use case and preparing data and selecting the model. Then we train, test and integrate the AI into your workflow.
How do you handle bias in AI systems?
We perform bias checks on the data and the model and apply techniques such as fairness-aware training and model monitoring
Is AI also suitable for smaller organizations?
Yes. With cloud-based AI services, applications such as automation, prediction and analysis are also accessible and affordable for SMEs.
What does “design for change” mean in your approach?
We build modular AI architectures that can easily grow and adapt to new developments, ensuring your solution is future-proof.
Can you integrate AI into existing software systems?
Yes. We develop APIs or integrations that add AI functionality to current systems or apps.
How do you handle privacy in AI projects?
We comply with GDPR guidelines and the AI Act, use pseudonymization when needed and limit data storage to what’s strictly necessary.
What does “design for change” mean in your approach?
We build modular AI architectures that can easily grow and adapt to new developments, ensuring your solution is future-proof.