Strategic
AI Consultancy
For us, consultancy means taking responsibility.
From plan to execution
Why DeepMetis?
Consultancy with substance.
We solve complex problems not through opinions, but through data-driven analysis, deep technical understanding, and scientifically sound methods. Our team combines specialized expertise from Machine Learning, Software Engineering, and System Architecture – distributed across three continents and always close to implementation.Before AI became a buzzword, we were already building productive systems. Today we advise companies with the same approach: precise, well-founded, uncompromisingly implementation-oriented. Strategy consultancy
For Business Leaders & Decision Makers
1
We analyze your processes, identify automation potential, and show where AI brings real business value – not hypothetically, but concretely.
2
We assess feasibility, risks, and resource requirements. This gives you reliable decision-making foundations – quickly, realistically, and at eye level.
3
Instead of lengthy concepts, we deliver tangible quick wins and pilot solutions in just a few weeks – as an entry point or springboard for scaling.
Typical challenges we help with
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"We know we need AI but don't know where to start."
We structure entry points and prioritize by impact and feasibility.
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"Our data is everywhere how do we turn it into a usable system?"
We create order, evaluate data quality, and build robust pipelines.
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"We have initial prototypes but can't get them into production."
We 'productize' prototypes and bring them into production.
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"Our developers are open to AI but overwhelmed."
We provide relief through architecture consultancy, coaching, and targeted implementation.
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"We don't want to become dependent on vendors."
We deliver solutions that can be continued independently. Without vendor lock-in.
Technical Sparring
For Tech Teams & Developers
1
We analyze your existing architecture, review stack, tooling, and interfaces, and support you in selecting suitable models, frameworks, and technologies. Hands-on, solution-oriented, technology-agnostic.
2
We develop initial prototypes together, implement core logic, and ensure clean, scalable infrastructure.
3
With monitoring, governance mechanisms, and clear knowledge transfer, we make your solution maintainable, documented, and ready for real production operation.
Frequently Asked Questions
We don't just deliver analyses, but operational solutions. Our consultancy is based on real implementation experience – not hypothetical strategy. With us, the same people who advise also build.
Our philosophy combines strategic analysis with pragmatic, user-centered implementation. We don't deliver pure strategy papers, but develop working solutions that are accepted and used by employees. Our goal is measurable, sustainable value creation based on a deep understanding of your business model, market situation, and corporate culture.
We start with the people who do the daily work. Instead of coming with prefabricated solutions, we begin with a qualitative analysis phase. In structured interviews with employees from various departments, we identify the actual, operational pain points and recurring inefficiencies. This in-depth needs analysis ensures that we focus our resources on problems whose solution promises the greatest added value.
User acceptance is not a random product for us, but the result of a systematic approach. We ensure acceptance by following three core principles: First, we create proven usefulness by solving real problems named by employees themselves, so the added value of new tools is immediately apparent. Second, we guarantee intuitive usability through an agile and user-centered development process (UCD), where we continuously gather feedback from end users. Third, we build trust through control by positioning AI applications in particular as supportive 'assistants' (Human-in-the-Loop), where humans retain final decision-making authority, which demonstrably reduces fears and resistance.
Success is measured by business outcome, not technical output. While qualitative goals like creating an innovation-friendly culture and ensuring user acceptance are in the foreground during the initial project phase, we define hard, quantitative Key Performance Indicators (KPIs) together with you for subsequent scaling phases. These include efficiency metrics like process time reduction, quality metrics like error rates, and especially business metrics like conversion rate improvement or direct contribution to revenue, to make the value of our work transparent and measurable.
Humans are at the center of our approach. We understand technological transformation primarily as a social process. Therefore, change management is an integral part of our work. Through targeted workshops (e.g., on AI fundamentals), continuous communication, and close involvement of employees in the development process, we build competencies and transform resistance into productive energy. Our goal is to establish a sustainable learning culture through structures like a 'Center of Excellence' and knowledge platforms that enable your organization to successfully master future changes as well.
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