analytical and future-oriented

Let's build your Data Science Project

Our holistic data science consulting offers professional support in the development and implementation of your strategy: from identifying relevant use cases to the productive implementation of machine learning models and artificial intelligence.

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We support you where you need us—whether throughout the entire journey or just during selected phases. From first ideas to long-term integration, our services are modular and flexible. You remain in control, while we provide the expertise to turn your data into real value, step by step.

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What are the steps of our consultancy process?

1) Use Case Identification

In a first call, we'll discuss options for profitably integrating AI into your company. With our representative, you will identify internal efficiency bottlenecks and how those could be optimized by AI. Perhaps you already have an idea of your own and would like to discuss how it can be implemented.

2) Project Quote

After internal planning, we will provide you with a quote. A project is typically divided into a concept phase, a pilot phase, an implementation phase, and an operational phase. While each phase requires the previous one, there is no obligation to commission the subsequent phase. We are available for any project scope you require.

3) Development

Our team of experts will develop the product for you. During that process, we value close collaboration, discussion of any concerns and will keep you up to date with the development milestones.

4) Deployment

When we deliver the results, we'll also provide you with reports, documentation, and user guides, depending on the phase. We always ensure you get the most out of our solutions.

Every successful AI or data-driven project follows a series of clearly defined phases. This step-by-step approach ensures that ideas are carefully developed, tested, and only then rolled out into real-world operations. It’s a common and proven practice in the industry, helping to reduce risks, manage budgets, and deliver results with confidence.

We’ll guide you through the four key phases of a typical project: from the initial concept and pilot testing, through to full implementation and ongoing operation. This structure allows us to adapt the pace and scope to your specific needs—whether you’re just exploring possibilities or ready to bring AI into everyday use.

From Idea to Production: What are the Product Development Phases?

I) Concept Phase

Development of the technical concept of the project, tailored to the customer's requirements.

In this phase, the technical details for implementing the overall project are identified and specified. This also includes thorough planning of the data proprocessing steps and serves as the basis for the practical implementation of the project.

II) Pilot Phase

First development of a functional prototype based on part of the dataset.

A representative portion of the overall project scope is implemented as an example to gain a realistic impression of the functionality and user experience. This often reveals the need for further refinement of the project outline and allows for a more precise definition of desired requirements.

III) Implementation Phase

Expansion to a productive overall solution, incorporating all relevant data and user needs.

The prototype's functionality will be expanded to the entire dataset and integrated into a production-ready system. After thorough quality assurance, the product will be delivered to you along with the necessary documentation. We are also happy to offer training for your team at this point to pave the way for optimal use and maintenance.

IV) Operational Phase

Long-term development and operation to adapt the solution to new data, requirements and framework conditions.

We are happy to cooperate with you long-term to integrate new data into the model, adapt the system to new circumstances, optimize its use, or ensure long-term maintenance and support.

Unlock the full potential of your business with our expert data analysis and process automation services. We help you transform raw data into clear insights and streamline your daily operations to save time and reduce costs. Ready to discover how smarter data or automated workflows can drive your success?

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What Services do we offer?

Enhanced Data Analysis

Discover patterns your eyes can’t see – Unlock the full potential of your business data and make confident decisions backed by intelligent analysis.

Automated Data Systems

Save valuable hours and reduce operational costs by turning analysis results into automatic business decisions. Integrate systems that not only know but also act.

Why work with us?

At Askim Digital Solutions, we combine advanced Data Science expertise with the precision, discipline, and innovation culture gained from years of education and professional work in Europe. Every solution is built to meet European standards for accuracy, reliability, and data responsibility.
We believe in transparent processes, measurable results, and long-term partnerships based on trust.

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