DeepSign Desk: bridging the gap between handwritten signatures and digital workflows
18 November 2025
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.
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.
| Principle | Meaning | Benefit |
| No customer data for training | Business 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 hardware | All 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 & control | Data required for a request is processed only temporarily and deleted immediately. | No hidden copies, no data sharing. |
| Optional local storage | Chat 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.
| Step | What we do | Your benefit |
| 1. Data collection & preparation | We use only synthetic or publicly available datasets, carefully structured and anonymised. | Maximum data security: your business data stays protected. |
| 2. Choosing the model base | Depending on the use case, we select pre-trained open-source models or build our own. | Flexibility: the right solution for every scenario. |
| 3. Training | The model is trained with many input–output examples to learn realistic applications. | Relevant results: AI understands real-world situations. |
| 4. Quality assurance | Test data, metrics and benchmarks ensure reliability. Hallucinations cannot be fully avoided, but are minimised. | High precision, with transparent communication of limitations. |
| 5. Fine-tuning | We optimise specifically for client needs, industry requirements and concrete processes. | Greater accuracy: AI tailored to your working environment. |
| 6. Deployment | Only 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
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:
This is the future of work: less effort, more clarity, more impact – and at DeepCloud, we are actively shaping that future.
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