AI software development for Swiss companies
Many tasks in marketing and operations repeat themselves: standardising images, creating variants, answering questions, moving data from A to B. AWEO builds its own AI applications for this, from quick prototypes to tools your team uses every day. The focus is on a clear benefit per task and controllable costs.
Updated:
Already built
3D visualisation from 3D models
If 3D models already exist, for example from CAD software, we turn them into visualisations: photorealistic images, animations and views for presentations, sales and marketing. This is ideal for products before their market launch, for machines and plants or for building projects.
How we develop
- 1
Understand the task
We look at the current process: who does what, how often and with what effort? Only then is it clear whether software is worthwhile.
- 2
Prototype
A working prototype with your real data quickly shows whether the solution holds up.
- 3
Make it production-ready
Error handling, resuming after interruptions, cost control and an interface your team understands without a long introduction.
- 4
Operation and further development
Locally, in the browser or in your cloud. We adapt the software when models or requirements change.
Our principles
- AI only where it is needed. Simple steps run without AI, faster and cheaper.
- Make costs visible: an estimate before the start, a report afterwards.
- Keep results verifiable: original and result side by side.
- Build in a plan B: if an AI service fails, processing still continues.
- Protect credentials: API keys stay with you and do not belong in the code.
Frequently asked questions about AI software
Is custom AI software worthwhile for an SME?
If a task recurs regularly and currently involves a lot of manual work, often yes. One example: for an online shop, an entire product image collection was standardised in a single run instead of editing each image individually.
Where do the applications run?
That depends on the solution. Local tools run on your computers, web apps in the browser. For AI models we use the providers’ interfaces; we decide together which data is sent there.
What happens when a better AI model comes out?
We build the applications so that the AI model can be replaced with little effort when a better or cheaper one becomes available.