We design AI solutions built on open models, hosted wherever you decide. Frontier-model capability, without handing your data to foreign clouds — and in full compliance with the FADP, GDPR and FINMA guidelines.
Every time a company uses a model via a US vendor's API, its data — contracts, customer data, financial information, medical records — leaves the infrastructure it controls and ends up on servers subject to foreign jurisdictions. For many Swiss companies this isn't a technical detail: it's a legal, reputational and compliance risk.
The right question isn't "is the AI powerful?" It's: where does my data end up, who can access it, and am I still compliant with Swiss law?
We build on open models running on your own infrastructure or on a Swiss sovereign cloud. No data sent to third-party APIs. No training on your content. No gray areas.
Open models are yours to run, portable and inspectable. No dependency on a single vendor, no pricing surprises, no features disappearing overnight. If the market shifts tomorrow, you keep running.
Every solution is designed around the FADP, GDPR and — where needed — FINMA guidelines and sector-specific requirements. Data residency in Switzerland isn't an add-on: it's the starting point.
We identify high-return use cases and separate what AI can genuinely do today from what's still just a promise.
Selection, optimization and production deployment of open models on your own or Swiss infrastructure.
Systems that reason over your company's documents, private and secure, without exposing them externally.
Intelligent workflows that integrate with your existing tools (CRM, ERP, business systems).
Policies, risk management and compliance to adopt AI in a defensible way.
We get teams to actually use the tools, not just install them.
ai.malagoli.me was born from years of work on enterprise IT infrastructure, security and applied AI projects in regulated contexts — from finance to industrial. We don't sell the latest tech fad: we build systems that have to work, pass an audit, and hold up over time.
We understand your context, regulatory constraints and where AI brings real value.
A working prototype on a concrete case, so decisions are made on facts, not promises.
Secure production rollout, on your own infrastructure or on a Swiss cloud.
Policies, documentation and training so the system remains yours.
The biggest model isn't always the best choice. Optimization techniques often deliver the same perceived quality at a fraction of the hardware cost.
Read the article →RAG and fine-tuning are often presented as equivalent alternatives. They aren't: they solve different problems, and choosing the wrong one costs months of work.
Read the article →Adopting an AI tool without checking where the data ends up is the fastest way to turn a productivity gain into a compliance problem. Here's what to check first.
Read the article →On some highly complex tasks, the best closed models remain ahead. But for the vast majority of business use cases, modern open models are more than sufficient — and the advantage of keeping your data under control far outweighs a few points of performance. Where it genuinely makes sense, we adopt a hybrid approach.
Wherever you decide: on your company's own infrastructure, on-premise, or on a Swiss sovereign cloud. Sensitive data is never sent to foreign vendors' APIs.
It depends on the use case. Some solutions run on modest hardware; others require dedicated GPUs. During the Discovery phase we work out the cost-benefit trade-off together, with concrete numbers before any investment.
We design every solution around the requirements of the FADP, GDPR and — where applicable — FINMA. Formal compliance should always be validated with your own legal counsel, but we start from an architecture built to meet them from the outset.
A proof of concept can take just a few weeks; a full deployment depends on complexity. Our phased method exists precisely to give you visibility and control over timeline and cost, step by step.
No — that's a principle for us. We hand over documentation, policies and training so your teams can run the system independently. Our goal is to make you self-sufficient.
Thirty minutes to figure out whether AI on open models is the right choice for your company — and what it would actually take. No sales pitch, just an honest technical conversation.