We support companies with sensitive data in choosing the right AI operating model: Swiss partners, hybrid architecture, or private infrastructure. That also includes a realistic cost comparison between cloud and local operation.
Defined starting point
Local AI only makes sense when privacy, cost, access, and operations are evaluated together.
1 week
We classify data, assess tool risks, and define which operating model fits your requirements.
Concrete recommendation for cloud, Swiss partner, hybrid, or private infrastructure.
1 to 3 weeks
We compare usage, latency, model choice, hardware, operations, and API costs.
Cost model, architecture variants, and a realistic pilot recommendation.
Half day or full day
We create safe rules for employees and prioritize real use cases from daily work.
Shared guardrails and a clear list of next steps.
We do more than choose a model. We define the right operating setup, clarify technical privacy requirements, compare costs, plan the integration approach, and support the path to reliable production use.
Local or privacy-conscious AI matters most when data is sensitive or when usage volume makes pure API economics difficult to justify.
The right answer depends on privacy constraints, availability, budget, in-house expertise, and integration requirements. We help you choose the right level.
Local AI becomes more valuable when documents are structured and workflows can use them under clear controls.
Build on local or hybrid AI and make PDFs, Office files, scans, and emails structured and searchable.
View document AIConnect privacy-conscious AI with tools, approvals, and human-in-the-loop workflows for real operations.
View workflowsSee search, infrastructure, and workflow building blocks we have already delivered in production-like projects.
View projectsShort, honest answers to the questions that come up most often in first conversations.
Local AI makes sense when data is sensitive (for example HR, legal, or customer data), when contracts or regulation require data residency in Switzerland, or when usage is high enough that per-request API costs become uneconomical. Many companies end up with a hybrid model: sensitive workloads run locally, non-critical ones in the cloud.
For many business tasks such as search, extraction, summarization, and internal assistants, open models now deliver reliable results. We always evaluate models against your real tasks and documents before any architecture decision is made.
It depends on usage. At low volume, cloud APIs are usually cheaper. With sustained high usage, long contexts, or constant operation, local or hybrid infrastructure can become more economical. We base the comparison on realistic usage numbers, not list prices.
Yes. Depending on your requirements, we work with Swiss-operated partners, hybrid architectures, or private infrastructure. The operating model is designed so data residency, access, and responsibilities match your constraints.
We help you decide which operating model fits, which partners are realistic, and how to compare cloud, hybrid, and private infrastructure from a business perspective.
Digital4You
We focus on three connected areas: privacy-conscious local AI, document extraction and search, and agentic software for operational workflows.
Based in Urtenen-Schönbühl, Bern. Consulting, implementation, and operation with Swiss accountability.