Deploy artificial intelligence with purpose — clear value, not hype. We consult, develop, and operate: from assessment to a solution that works in daily operations.
Starting Point
A language model is like a new employee with vast general knowledge, but not a single day of experience in your company.
Not every idea supports a business case. We evaluate value and feasibility before budget is spent.
Availability, quality, and permissions determine the outcome — not the choice of model.
Data classification and data protection under Swiss law (nDSG) belong at the beginning, not the end.
Integration into your systems, reliable operations, and measurable quality — otherwise it remains a pilot project.
Our Offerings
Four services, individually or combined.
We evaluate your use cases for value and feasibility, classify your data, and create a solid roadmap.
From language models with a knowledge base (RAG) to multi-agent systems and custom ML algorithms — integrated into your existing systems.
We select the right models and operate them where you need them: on-premise, private cloud, or public cloud — with monitoring and cost control.
Binding policies, permission and tooling concepts for agents — enforced technically, not just distributed as a PDF.
Vendor-agnostic: The requirement determines the model and platform — not our partnership.
Our Approach
An AI solution requires a clear use case, suitable data, a robust architecture, and controlled operations. We guide you through this journey in four chapters.
We identify use cases with real value — and clearly define where AI is not the right fit.
Outcome
A prioritized list of use cases with feasibility assessments, an initial AI roadmap, and the guardrails for implementation.
We define how the solution is built — and prepare your data in a form that a model can process.
Outcome
A documented solution architecture including data concept, access control, and operating model.
We develop the solution — from prototype to an application your team will actually use.
Outcome
A working solution with proven quality — tested on your real cases, not just a demo.
We integrate the solution into your systems, bring it into production — and into the minds of your employees.
Outcome
A productive solution in monitored operations — and a team that works with it, rather than working around it.
Use Cases
Three areas where our AI is already working in production — each backed by a dedicated product.
Extract, structure, and make searchable the information from your documents, emails, and systems.
Automate recurring administrative workflows, with clear approval points for your subject matter experts.
Detect what is coming from machine and sensor data before it fails. We have also conducted research in image processing for additive manufacturing (LDED).
We identify which areas are relevant to you during the AI assessment.
From the Field
Excerpts from projects where AI is in production — using the clients' own data and systems.
AI and Computer Vision
LDED (In-house Development)
A neural network under 5 MB detects document corners entirely in the browser — without image upload, without a backend.
Process automation
Exeoflow (In-house development)
Exeoflow connects document processing, workflow control, and AI-assisted decision preparation into a seamless chain.
AI and Analytics
ExeoAI (In-House Development)
ExeoAI processes and analyzes sensitive business data on-premise — data extraction, document analysis, and predictive reporting.
Deployment Model
With AI, it is often not the model but the deployment model that determines what your data allows.
Fast start on established platforms, with regulated data residency.
Sensitive data stays with you, while compute-intensive tasks run externally.
Your data never leaves the building: models run on your own infrastructure or in a dedicated private cloud.
Entry Offer
Before investing in AI, you should know where it creates value for you. In a compact workshop, we review your processes, data, and systems — and you leave with a roadmap.
Process
A short questionnaire in advance — so we don't start from scratch in the workshop.
Together with your business units and IT: processes, data landscape, system environment, and security requirements.
We assess the identified use cases and define the next concrete step.
What You Get
We define the scope and framework together in advance — tailored to your size, your processes, and the involved departments.
Our Own Practice
What we build for you, we run ourselves first — AI-native for three years, with all the lessons learned.
Generative AI and specialized multi-agent systems in daily development, open-source models in our own operation, custom skills, agent rules, and fine-tunings where standards fall short.
From developer to architect. From specialist to reviewer. AI changes not only how we work, but also how roles, responsibilities, and collaboration are shaped within the organization.
Binding guidelines with training, model selection based on data classification, tailored permissions per agent — and in-house model operation for sensitive data.
Binding Guidelines with Training
We have clear rules on which content may run on which models — conveyed through training, not a distributed PDF.
Model Selection Follows Data Classification
The models used depend on the data protection level in accordance with nDSG and GDPR — whether an external provider or in-house operation is used follows from this.
Permissions and Tools Tailored to Each Use Case
What an agent does not need to do, it must not be able to do. Each use case receives exactly the permissions required for its task — no shared user accounts, no administrator accounts.
In-House Model Operation for the Highest Protection Level
What must not leave the building is processed on our own infrastructure — the same capability that ExeoAI is built on.
Our learnings are embedded in the ATESO MWK-Stack: a modular development environment for backend, web, and mobile — used in customer projects and in our Exeoflow.
More about the ATESO MWK-StackAn AI framework based on open models with custom fine-tunings — hosted on Swiss servers or on-premise at the customer, running continuously for sensitive data.
More about ExeoAIOur Principle
What we implement for you, we have experienced ourselves: defining rules, patterns, and architecture is exactly the work we also teach your teams.
We implement data protection technically and organizationally; the legal assessment of individual cases remains with your legal or data protection advisor.
Further Reading
AI is rarely a standalone solution. Depending on your starting point, these services and products complement our AI Services.
When it's about your entire IT landscape, not just AI.
Learn MoreWhen AI becomes part of a larger application.
Learn MoreWhen the operational environment needs to be in place first.
Learn MoreThe AI-native framework we use for development.
Learn MoreAI-native ERP where our agents run in production.
Learn MoreLanguage models, RAG, agents, MCP: the six terms that explain most AI offerings.
Learn MoreWould you like to digitize a business process, have questions about new technologies, or need an assessment? Then get in touch with us.
Our experts are happy to advise you.
Tell us about your project. We will get back to you within 24 hours — and let you know if AI isn't the right fit.
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