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Artificial Intelligence

AI Consulting for Companies in Switzerland: Strategy and Implementation

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Samuel Picek
Lead ML/AI Engineer

+41.. Show number +41 55 253 00 53

Get expert advice. Discover our success stories.

AI should improve processes, not complicate them

soxes offers AI consulting that guides companies from consultation and analysis to implementation to gain measurable efficiency improvements and new business opportunities from data.

In this article you will learn:

A structured process with analysis, roadmap, prototyping, and rollout makes AI projects transparent and predictable.
A focus on data quality and data protection ensures that AI solutions remain effective and trustworthy.
With experience from real projects, soxes develops custom-made applications for your company.

In this video, we will show you how AI is used specifically to make business processes smarter, faster, and more efficient.

Sam Picek, Lead ML/AI Engineer

Everyone is talking about AI. But is it really a game changer or just hype? The difference lies in the real added value. Huge budgets have already been burned on blockchain without any clear benefit. The same threat looms with AI if companies invest without a strategy. Our recommendation: use AI in a targeted manner with a clear business case. Which problem will be solved? Is the investment worthwhile? If you can answer these questions, you are not betting on hype, but on real progress.

Using artificial intelligence with measurable benefits

Artificial intelligence (AI) is already changing processes, products, and business models across all industries. For companies, it offers opportunities to automate workflows, reduce costs, and create new data-driven services.
However, for AI projects not to remain at the pilot stage, they require a sound strategy, reliable data, and the right technology.

Our AI services combine proven consulting, technical expertise, and many years of project experience. We accompany you from the initial analysis and the selection of suitable machine learning models to implementation, scaling, and continuous optimization.

What is End-to-End AI?

End-to-End AI simplifies processes in companies by automating the entire workflow, such as processing customer inquiries—from the first contact to finding a solution—with a single AI system. This increases efficiency and reduces errors, but places demands on the accuracy and explainability of the AI decisions.

The integration of AI-supported Process optimization allows companies not only to save time and resources but also to act in a more customer-oriented way.

By using AI tools for pattern recognition and data analysis, companies can perform more precise customer segmentation and market analysis. This leads to customized products that fit seamlessly into the needs of the target audience.

What we do and why it's important for you

Strategy & Roadmap Development

We develop a customized AI strategy and roadmap so that your company gets clear goals, measurable milestones, and a safe path from the first idea to the productive AI solution.
Data Strategy & Data Management

A solid data strategy is the basis of every successful AI application. We analyze data sources, ensure data quality, and create structures on which machine learning models can reliably build.
Selection & Integration of Technologies

We identify the right AI tools, cloud platforms, and frameworks and seamlessly integrate them into existing systems so that your AI applications remain scalable and future-proof.
Development, Prototyping, and Implementation

Through agile development and rapid prototyping, initial machine learning models are created, which we test together and further develop into productive AI solutions.
Deployment, Monitoring, and Optimization

We take over the secure deployment of your AI models, set up monitoring and continuous optimization, and ensure stable performance during ongoing operation.
Governance, Data Protection, and Ethics

With clear governance guidelines, strict data protection, and high ethical standards, we ensure that every AI application remains legally compliant, transparent, and trustworthy.

Sam Picek Lead KI/ML Engineer, soxes AG

For which companies is AI consulting suitable?

Choose a fitting AI strategy

AI consulting in Switzerland pays off for SMEs and larger companies that want to measurably improve their processes with artificial intelligence and machine learning. The use of AI is particularly exciting in industry and manufacturing, healthcare, logistics, trade, and services.

Typical Fields of Application

Quality control in production with computer vision and automatic defect detection, integration into ERP and MES
Process automation in administration, purchasing, scheduling, and service through intelligent workflows and assistants
Customer service with voice-based assistants, knowledge databases, and automatic case assignment
Personnel selection and skills matching with transparent and fair procedures, auditable and GDPR compliant
Predictions and optimization for demand, inventories, planning, maintenance, and energy consumption
Data preparation and data strategy as the basis for sustainable AI solutions, including governance and quality assurance

For AI to be effective, we connect existing systems such as ERP, MES, CRM, and PLM, create a clean data basis and deliver results that are reflected in time, cost, and quality.

Use Case: Prototype for defect detection in the yogurt production process

1 Project Overview

Emmi, one of the world's leading manufacturers of dairy products, uses state-of-the-art technologies in its production facilities. soxes developed an AI prototype for Emmi for automated fault detection in the yogurt production process.
2 Challenge

Yogurt packaging must be flawless so that products can be correctly labeled and processed. The goal was to reliably detect deviations in real time.
3 Solution

The AI application processes images of packaging that are captured by cameras. Using Microsoft Custom Vision and a Python app, the images are analyzed and matched with product data. Deviations, such as an incorrect lid, are immediately detected and reported.
4 Result

Within 6 weeks, an efficient solution was created that secures production quality in real time. Faulty products are identified early, which reduces waste and increases process reliability.

Transparency and Trust with every AI solution

Trust is the foundation for the successful use of Artificial Intelligence. Therefore, we focus on maximum transparency and clearly verifiable standards. Our AI projects comply with all relevant data protection guidelines in Switzerland and the EU, including DSG and GDPR, and are implemented according to high ethical principles.

soxes is ISO 27001 certified and conducts regular security and quality audits to reliably protect data and models. Every machine learning model is also carefully tested and validated to ensure accuracy, fairness, and traceability at all times. This approach builds trust with customers, partners, and regulators and ensures that your AI applications remain powerful, legally compliant, and future-proof.

How much AI potential does your company have?

Unleash your AI potential with our customised consulting package!

soxes offers you ONE-to-ONE consulting tailored to your needs, focussing on the individual opportunities and possibilities of your company.

We show you exciting possibilities and helpful solutions. Quickly, simply and competently.

Continue to the package

3D illustration of a row of friendly white AI robots working on blue laptops at small desks, symbolizing artificial intelligence consulting for business.

Package 1: Compact AI Introduction

A day that shows you how AI works, where it makes sense for you, and what opportunities it offers.

Including an AI potential analysis & summary report!

Package 2: Targeted AI Application

In four weeks, we'll analyze your data and processes and develop concrete AI ideas. You'll receive a clear roadmap for implementation.

Including goal definition, data and process analysis, feasibility assessment and solution approaches and a roadmap for the next steps!

Package 3: Develop Your Own AI Strategy.

In a 3-month workshop, your individual AI strategy will be developed, including pilot projects, a timeline, and everything you need for implementation.

Including intensive workshops, data and process analysis, planning of pilot projects, and a recommendation for implementation!

Why soxes for AI consulting?

Experience in critical environments

We come from projects where availability, quality, and security matter. This concerns production, logistics, consumer goods, and health. Our claim is reliable results instead of colorful demos.
Holistic Team

ML Engineers, Data Engineers, Software Engineers, UX, QA, and project management work together from start to finish. This is how solutions are created that not only provide a model but also work in everyday life.
Certified Security and Clear Standards

soxes is ISO 27001 certified. We comply with DSG and GDPR, document decisions, conduct reviews, and systematically test models for accuracy, stability, and fairness.
Broad technology without lock-in

We work with Python, .NET, Azure, AWS, Docker, Kubernetes as well as LLM and Computer Vision frameworks. The right solution for your case is important, not yesterday's tool.
Integration into your system landscape

Interfaces to ERP, MES, CRM, and PLM are part of the project. We ensure that data flows are correct and the solution remains maintainable.
Verifiable Results

We deliver metrics that matter. Less waste, faster processes, better decisions. Transparent reports make the benefits visible and help with further scaling.

How can we support you with your software project?

Samuel Picek
Lead ML/AI Engineer

+41.. Show number +41 55 253 00 53

Please contact me Our References

Expert knowledge for your project

Sam Picek is an AI/ML engineer at soxes with a master’s degree in mechanical engineering at University of Zagreb. He brings many years of experience in machine learning, data engineering, and software architecture to the table. His strengths lie in Python, Rust, Kafka, CI/CD, cloud platforms, and the development of intelligent systems for complex data landscapes.