AI Agency for Austria & the DACH Region

An AI agency supports companies end to end in putting artificial intelligence to work: strategy, use-case selection, development, integration and operations. Soneo covers that chain from a single source, focused on solutions that pay off rather than technology for its own sake, and matched to how mid-sized companies in the DACH region actually operate.

That is what separates an AI agency from a classic digital agency: the bottleneck is rarely the interface. It is the data, and the question of which process is worth automating at all. So every project starts with requirements analysis and a data assessment, not with picking a technology.

• AI Engineering: building custom AI solutions and taking them into production, entirely in-house.
• Data Management: assessing, preparing and structuring data so an AI application can stand on it.
• Workshops: enabling your team to use AI day to day instead of building permanent dependency on outside help.

Building an in-house AI team is expensive and slow, and specialists are scarce. An agency brings experience from many projects immediately, avoids the common mistakes and delivers first results faster.

Weigh the two against each other: finding, hiring and onboarding an experienced AI engineer realistically takes months. In that same window, an agency has a first solution running in production. Your own staff pays off once AI permanently carries several processes.

Often the combination is ideal: we deliver and enable your team in parallel, so you become more independent over time.

The intro call is free. Projects start from €4,000, and we deliver the first proof of concept in about two weeks. That way you see the value before investing further.

Three factors drive the price: the scope of the use case, the state of your data, and how deeply the solution has to integrate with existing systems. You get an estimate of effort and benefit up front, not after the analysis phase.

• Project-based: fixed scope, fixed commitment. Suits a clearly scoped first use case.
• Retainer: a monthly allocation for ongoing development and support as the solution grows.
• Subscription or managed service: a monthly fee for an operated AI solution including maintenance.

In four steps, with a decision point after each one. That keeps the risk small and makes results visible early.

• Analysis: together we identify the routine tasks and processes where AI makes a measurable difference.
• Proof of concept: a scoped test shows within about two weeks that the solution works on your data.
• Implementation: once the test succeeds, we build it out and integrate it with your existing systems.
• Operations and improvement: monitoring, maintenance and regular development so the solution keeps working.

The choice follows the use case, not the trend. In practice it comes down to four building blocks: RAG systems that ground answers in your own documents; LLM integration into existing applications; AI agents that handle multi-step workflows; and plain process automation wherever no language model is needed at all.

For hosting, EU cloud is the default and on-premise is available on request. Most mid-sized use cases are well served by a scalable EU cloud setup with no AI infrastructure of your own. On-premise becomes relevant when there are hard requirements for it. Both GDPR- and AI-Act-compliant.

We work with mid-sized companies across industries, with particular experience in mechanical engineering, engineering functions, HR and data-heavy processes. What matters is not the industry but a clearly scoped use case with usable data and a measurable goal.

Delivered projects back that up: special-purpose machinery, e-commerce, manufacturing, human resources, and tourism and health. What those cases share is not a sector but a process with a lot of manual repetition and data that already exists.

Tools change nothing if the team does not use them. So hands-on workshops are part of the offering, either alongside a project or as an entry point before anything gets built.

• Successful AI adoption in your company: one day, up to 12 participants, strategic focus.
• Working faster with Microsoft CoPilot: four hours, up to 8 participants, hands-on at the desk.
• The best AI tools for companies: one day, up to 15 participants, tool comparison and use cases.
• Custom workshops: duration, group size and content to fit.

Soneo works across Austria, Germany and Switzerland, remotely and on site. For DACH mid-market companies that brings three practical advantages: the same time zone and language in project meetings, a legal framework without third-country transfers of personal data, and people who know the mid-market from more than studies. Companies in the greater Vienna area have a dedicated page covering on-site collaboration.