Skip to content

Why we choose AI

Artificial intelligence is transforming the way we work, communicate and design processes. For DeepCloud, AI is not just a buzzword, but a practical tool: solutions that deliver immediate benefits, simplify workflows and create real efficiency

Our commitment: AI that is understandable and useful

Artificial intelligence is only valuable if it truly supports people. At DeepCloud, we believe that technology should make life easier, not more complicated. That’s why we develop AI solutions that integrate seamlessly into existing workflows and deliver tangible benefits from day one.

  • Practical focus: AI where you actually work – without complicated integrations.
  • Immediate impact: answers, automation and support in real time.
  • Security: Swiss standards with maximum data protection.

Dataprocessing to the highest standards

AI can only earn trust if data is absolutely secure. That is why we make you this promise: your data belongs to you – and it stays with you.

PrincipleMeaningBenefit
No customer data for trainingBusiness data is never used to train models without explicit permission. Instead, we rely on synthetic and publicly available data sources.Your data remains confidential, with no risk of misuse.
Training on Swiss hardwareAll models are trained exclusively to Swiss standards in our data centre in Ticino.Data never leaves the country and remains subject to the highest level of protection.
Full transparency & controlData required for a request is processed only temporarily and deleted immediately.No hidden copies, no data sharing.
Optional local storageChat histories are stored only within your own installation, not on external servers.Maximum security through local data retention.

How we develop our models

Artificial intelligence often seems like a black box – and we want to break down that barrier. That’s why we provide insight into how we develop and continuously improve our models step by step.

StepWhat we doYour benefit
1. Data collection & preparationWe use only synthetic or publicly available datasets, carefully structured and anonymised.Maximum data security: your business data stays protected.
2. Choosing the model baseDepending on the use case, we select pre-trained open-source models or build our own.Flexibility: the right solution for every scenario.
3. TrainingThe model is trained with many input–output examples to learn realistic applications.Relevant results: AI understands real-world situations.
4. Quality assuranceTest data, metrics and benchmarks ensure reliability. Hallucinations cannot be fully avoided, but are minimised.High precision, with transparent communication of limitations.
5. Fine-tuningWe optimise specifically for client needs, industry requirements and concrete processes.Greater accuracy: AI tailored to your working environment.
6. DeploymentOnly once quality and security are assured do we integrate the model into our products.Stability: you only use tested, production-ready AI.

And it doesn’t stop after the initial training: our models are regularly updated and further developed. This ensures they work reliably today – and become more precise, up to date and powerful over time.

Already reality today: AI in action at DeepCloud

  • One example is our new AI chatbot, directly integrated into DeepServices and our support website. It answers questions in real time, provides step-by-step guidance, and helps with configurations – all without lengthy searching or waiting times.
  • Our AI expertise is also already evident in DeepO. Thanks to intelligent recognition, receipts and documents are automatically classified, checked and prepared for further processing. This not only saves time but also reduces errors and creates clear processes in everyday office work.

Looking ahead: AI taking on even more tasks
The coming years open up enormous opportunities for businesses of all sizes. AI will not just support, but increasingly take on tasks independently. For our clients, this means: less manual work, more focus on what truly matters.

Some of our current projects:

  • Automation of routine processes
    Tasks that still consume time today will be handled by AI in future – reliably, quickly and error-free. Incoming invoices, for example, will be checked, booked and prepared for payment automatically, without staff needing to verify every single item. This leaves more time for higher-value tasks.
  • More natural interactions
    Using software will become simpler and more intuitive. Instead of navigating complex menus, soon a short voice command – even in Swiss German – will be enough. Your applications will understand you the way you speak every day.
  • Intent recognition
    AI will recognise your intent, often after only a few hints. It will proactively suggest next steps. For instance: if you upload a reminder notice, the AI immediately understands the context, checks outstanding items, compares payment details and prepares the transfer. All you need to do is confirm with a single click.
  • Ongoing development in DeepO
    We are continuously improving our existing products. In DeepO, for example, we are enhancing document recognition so that receipts are processed even faster, more accurately and more reliably.

This is the future of work: less effort, more clarity, more impact – and at DeepCloud, we are actively shaping that future.

Back

Latest articles