Production digitalisation

Seizing new digitalisation opportunities for more autonomous and efficient production

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Our customers’ challenges

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Are you looking for a partner who can advise you on the most efficient path to digitalization and the best associated technologies, according to your specific needs?

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Are you looking to consolidate your production data, which is scattered throughout your facility and difficult to use?

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Are you looking to use statistical algorithms and AI to optimize your production?

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Expertise at your service

In a constantly evolving industrial world, companies are faced with a multitude of challenges, such as increasing productivity, reducing operating costs, securing production data and improving energy efficiency. Understanding these challenges and turning them into opportunities is at the heart of our expertise.

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Traditional operator stations, often guided by manual processes, face growing challenges in terms of efficiency, quality and traceability. The digital transformation of these jobs is an important step towards more agile production, more responsive to changing market demands. Efficient digitalisation enables better data collection, real-time analysis and continuous improvement of work processes.

At Digiinov, we help manufacturers implement the Tulip No-Code platform by integrating it into your IT ecosystem (ERP, PLM, CAD-CAM, SPC) and supporting you in its use. You’ll have the power to create or upgrade custom applications to improve communication, productivity and operator engagement. We transform operator stations into focal points where technology and people interact harmoniously for optimum efficiency.

  • Tulip
  • Operator guide
  • Paperless
  • Traceability
  • Operator work monitoring
  • Digital work instructions
  • Test plan guide
  • Tracking precious materials
  • Fault management
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In the Industry 4.0 era, the data generated by machines and production processes is more voluminous and varied than ever. Effective use and analysis of this data is essential to optimize operations, improve product quality and reduce downtime. However, without the right tools, this valuable data can remain under-exploited.

Digiinov specializes in the automated collection, analysis and visualization of machine and production data. We use modern, widespread technologies to structure, analyze and interpret data, transforming raw data into actionable information. Thanks to our automation specialists, we can also offer you machine data feedback solutions to predict trends, anticipate equipment failure and optimize production performance. What’s more, our expertise in UxDesign enables us to provide you with intuitive and effective dashboards for everyday use.

  • Machine data
  • Real-time analysis
  • Production optimization
  • OPC-UA
  • Data centralization
  • Equipment monitoring
  • Predictive maintenance
  • Trend analysis
  • Continuous productivity improvement
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The adoption of artificial intelligence and machine learning in industry can transform operations by identifying non-obvious patterns, predicting outcomes and automating complex decisions. However, the path to AI in industry is littered with challenges, including data quality, technical skills and integration into production systems.

Digiinov specializes in the integration of artificial intelligence and machine learning in industrial environments. Based on market solutions, we deploy predictive models that improve decision-making, optimize processes and increase product quality. Our team works closely with customers to understand their specific processes and needs, ensuring that our AI solutions are perfectly aligned with their operational and strategic objectives.

  • Artificial intelligence
  • Machine Learning
  • Predictive analysis
  • Data Insights
  • Non-quality detection
  • Energy analysis
  • Predictive maintenance
  • Process optimization

Human Machine Interfaces (HMIs) are primarily designed for machine operation and control. However, as part of the move towards Industry 4.0, these systems are beginning to play a far more strategic role. The digitalisation of machine HMIs paves the way for more advanced, intelligent functions that not only control the machine, but also optimize its integration into larger, more connected production systems.

At Digiinov, we innovate to develop HMI solutions that go far beyond machine control, by integrating intelligent functions. Our interfaces are designed to facilitate greater connectivity and machine autonomy, transforming workstations into centers of operational intelligence.

  • UX Design
  • Energy Management
  • Predictive maintenance
  • Remote Dashboard
  • Data Intelligence
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Industrial applications

Machine manufacturers




Food & Drugs

Micromechanics production

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About Digiinov

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Industrial software expertise

Digiinov is a leading engineering company in French-speaking Switzerland, bringing together rare, cutting-edge expertise in the creation of technological solutions for industrial digitalisation and automation.

Strong intervention capacity

Our team is made up of around twenty employees. We’re essentially engineers whose driving force is to make a big impact with our customers and accelerate your software projects.

Geographical proximity

We maintain close relationships with our customers, which enables us to develop an efficient and sincere collaboration as well as to intervene rapidly on site as required.

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Absolutely, our solutions are modular and customizable to suit the size and specific needs of each company, from small workshops to large factories.

We adopt strict security standards and state-of-the-art technologies to protect your data throughout its lifecycle, guaranteeing its confidentiality and integrity.

Although return on investment can vary from project to project, digitization generally leads to a significant reduction in operating costs, improved productivity and better decision-making thanks to data analysis. ROI is a key indicator worked out upstream of the project.

By integrating digital solutions into your production chain, you can increase transparency, reduce errors, improve efficiency and react more quickly to market changes.

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