Data Science & AI know-how: We are your sparring partner and enabler

Would you like to pick our brains?

We know that we have the best minds on our team, with exceptional data-science, AI and forecasting know-how. And that this is anything but a given. You can benefit from it.

No matter whether you are looking for data-science expertise for your company for the first time, need a kick-start into something new or advice in a very specific AI field, need someone you can brainstorm with, or someone who enriches your existing data-science team with an outside perspective and energetically drives your projects and innovations forward with you:

We roll up our sleeves with you.

prognostica employees at work

90‑minute workshop: GenAI at work

Compact, interactive intro for your team: orientation, fundamentals, hands‑on examples and next steps – tailored to your context.

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Forecasting basics training (2 days)

From forecasting basics to data-driven decisions: Data preparation, method selection, evaluation, and practical transfer.

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More than 10 years of data-science experience in industry

Professional discussions about data science and artificial intelligence on equal footing.

External perspectives and innovative impulses.

Broad methodological expertise: forecasting, remote sensing, predictive maintenance, generative AI, statistics, machine learning, etc.

Deep technical know-how: MLOps, various cloud solutions, on-premise, databases, Kubernetes, data engineering, etc.

Science and university backing thanks to PhD staff members and access to master’s students.

Accelerated learning curve and increased know-how for you and your team.

Hands-on mentality: Let’s not just talk about ideas, let’s try them out.

Rapid insights and results.

Flexible collaboration: from one-off workshops to continuous support.

With our toolbox and know-how, we will make your data-science initiative a success – together.

AI Automation Machine Learning Data analysis Cloud Patterns & anomalies Regression methods MLOps Docker Unsupervised learning Methodology Human & machine Databases Infrastructure NLP LLM Foundation models CI/CD Computer vision Data engineering Model pipelines Forecasting Statistics Kubernetes Python R Java UX Dashboard Supervised learning SQL Open source Google Cloud Microsoft Amazon

Get inspired:

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