AI at us

our vision on AI

Change often brings resistance. And there certainly are valid concerns around the use of AI. We choose to focus on the positive potential AI offers: the opportunity to create even more value for organizations working to improve the world. We apply AI’s efficiency to build more, create better tools, and accelerate development - not to sit back and relax after pressing a button.

how we use AI

in our workflows

We apply AI where it truly makes a difference. Some examples:

• Automating repetitive tasks. Giving thousands of images logical filenames/ Labelling data. Converting files into standard formats. Tasks that used to take hours of manual work now run automatically in the background.

• Smarter development. Our developers use professional AI tooling via command-line interfaces. These are more powerful than web applications like ChatGPT, with direct access to all systems. Several processes can run in parallel while we continue building the next steps.

• Self-improving PDCA loops. Processes that once required manual adjustments are now refined autonomously by AI. Developers can focus on what truly requires their expertise.

in solutions for clients

We help clients advance by applying our AI expertise and integrating artificial intelligence and machine learning into digital tools. Examples:

• We built a data-entry tool where AI automatically adds labels, making data entry dramatically faster and easier.
• We help start-ups build their first concept or prototype much faster and with fewer hands, thanks to AI.
• With MCP servers, we help organizations make knowledge more accessible.
• We use Natural Language Search to unlock content more intuitively.

what it takes to use AI well

expertise remains essential

AI is powerful - but not magic. Garbage in, garbage out. Using AI well demands skilled developers who:

• Understand the desired architecture and create a plan.
• Ask the right questions.
• Remain critical of AI output.
• Address root causes, not just symptoms.

AI solves problems and helps you move forward - but only if you know where you want to go. At us, our developers understand that.

control and quality

We don’t place blind trust in AI. Just as colleagues review each other’s code, we use AI as an additional layer of review - and vice versa: AI output is always validated by people who know what they’re looking at.

responsible AI entrepreneurship

transparency for clients

Socially engaged organizations rightly ask critical questions about AI and privacy, model training, and environmental impact. We don’t have perfect answers to everything - but we take responsibility and communicate openly about the challenges of AI.

environmental impact

It’s true: AI consumes lots of energy. That’s why we work to use it consciously and design our systems as efficiently as possible. On the positive side; AI increasingly helps the environment - for example with solutions for energy management and material development.

privacy and data

Within our own workspace, we carefully deliberate which AI tooling and models we use. The dynamic AI landscape requires continual evaluation, and data security and responsible model training are our top priorities.

value for your organization

more possibilities in the same amount of time

smart AI implementation enables us. to

• Deliver prototypes faster.
• Build more features within the same budget.
• Work more efficiently on what truly matters.
• Build software that is smarter by design.

expertise in AI adoption

With weekly sessions on AI developments, we maintain strong internal implementation. We know what works, what doesn’t, where opportunities lie, and how to use AI responsibly. We’re happy to share that knowledge.

for mission-driven organizations

Within our target group of socially engaged organizations, AI can sometimes carry negative associations. Understandably. That’s why we make conscious choices about which tools we use and how we handle training methods, the environment, and privacy. Your moral compass is ours.