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Innovation & Research: Smart Production with SCIIL

Research and development in industrial software is a central component of the innovation strategy of SCIIL AG and UAB Sciil Baltic. We are continuously developing digital solutions for production, quality assurance and AI-supported data analysis as part of national and European funding programs for innovation and research as well as self-financed projects. On this page, we present our ongoing and completed research and development projects transparently and in accordance with the requirements of the respective funding institutions.

 

AI-Based Smart Steaming for Automotive Seat Manufacturing

Development of an AI-Based Smart Steaming Solution for Autonomous Optimization of Industrial Processes in Automotive Seat Manufacturing

The objective of the project is a new AI-based Smart Steaming solution that extends industrial AI visual inspection beyond defect detection toward autonomous process optimization.

The project combines computer vision, deep learning, and industrial process data to train a proprietary AI model capable of learning the optimal steaming strategy for each seat variant and material. Using visual inspection before and after the steaming process, the AI continuously improves steaming parameters such as robot trajectories, pressure, timing and zone priorities, significantly reducing ramp-up time while improving product quality and process stability.

The project builds on SCIIL’s proven AI VISION platform for automated visual quality inspection and represents the next step from AI-based defect detection to AI-driven process optimization for automotive manufacturing.

No. 02-124-K-0085
Project promoter – Sciil Baltic, UAB
Project start date: 2 March 2026
Project end date: 14 July 2027
Project value is EUR 172.500, of which EUR 138.000 from EU support.

The project is co-financed by the European Union.

SCIIL BALTIC UAB implements the “REPORTIO II” project, an AI-based solution for poultry farms

SCIIL Baltic UAB is implementing the Reportio II project to add new, user-relevant solutions to the smart farm monitoring system based on IoT sensors, learning systems and analysis algorithms.

After the successful implementation of the project, the company’s existing product, Reportio, will be complemented with new smart solutions.

  • Project title: “REPORTIO II”
  • Project executing agency: UAB “Sciil Baltic”
  • Project objective: The aim of the project is to add new solutions to the REPORTIO product that are relevant to users.

Project Start Date:  2024-01
Project End Date: 2026-12
Total project volume: EUR 1,638,052.06
Support from the European Regional Development Fund: EUR 737,123.44

 

Logo Bundesministerium für Forschung, Technologie und Raumfahrt Logo von Bundesministerium für Forschung, Technologie und Raumfahrt

VISION - AI-supported visual quality inspection in industrial production


Project sponsor: SCIIL AG, Germany

Funding program: Tax research allowance in accordance with the Research Allowance Act (FZulG), Federal Republic of Germany

Project objective: Development of an AI-based, OEM-agnostic platform for automated visual quality inspection in industrial production environments.
The system is designed to detect dynamic and static defects in real time and provide digital support for quality processes directly on the store floor.

Project description: As part of Innovation & Research, SCIIL is developing a modular AI visual inspection solution that integrates industrial camera systems, edge processing, server architecture and a central data and application platform.

The core of the research activities is the development of innovative deep learning models for the detection of complex, variable defect images - for example wrinkles, material deformations, soiling or assembly deviations. Both dynamic defect patterns (e.g. position-dependent defects) and static characteristics are analyzed.The technological challenge lies in particular in:the development of robust training methods for widely varying production conditions,the real-time processing of large amounts of image data,scalability to different camera types and OEM environments,and integration into existing production, MES and quality management systems.

The project is developing prototypes, implementing pilot installations and continuously optimizing algorithms. The aim is to develop a market-ready, industrially deployable solution that can be operated both on-premise and in hybrid architecture.

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    Tenneco

    “With the SCIIL solution, we were able to standardize our test procedures, digitally map process steps and ensure complete traceability. Instead of many isolated solutions, we now have a common system that enables us to have more efficient processes, better data quality and faster reactions to deviations..”

    Joachim Maurer,
    Tenneco Director Quality Powertrain

    TENNECO customer reference on MES, traceability, CAQ and production data collection

    IWC Schaffhausen

    “We finally wanted ONE solution for ALL production steps. The optimized processes in the final inspection bring about 15 percent efficiency gains.”

    Ulrich Albicker,
    Department Manager Quality Improvement

    Kundenreferenz von IWC zu Endkontrolle und Traceability in der Uhrenindustrie

    IWC relies on SCIIL Q-TRACE in final assembly to track watches consistently by serial number, document visual and functional tests and efficiently control rework. The result: greater transparency, measurable quality improvement and efficiency gains in final inspection, as well as seamless traceability.

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    Leadec Management Central Europe

    “The intelligent tracking solution is web-based and creates cross-process transparency regarding the use and whereabouts of individual packages.”

    Gerd Brandl,
    Key Account Manager Technical Solutions

    In the semiconductor industry, where sensitive precision components involve high material costs and production is subject to significant time pressure, controlling and tracing material flows is more important than ever. The smart SCOTT logistics solution, developed jointly by Leadec and SCIIL AG, provides the required transparency and control.

    Adient Saarlouis

    “The SCIIL eLPA system is easy to use and impresses with its functionality. What is particularly important for me as a plant manager is that I have online access and a complete overview of our audits at all times – whether I’m in the office or on the road. “

    Jürgen Müller,
    Plant Manager Adient Saarlouis

    Adient Saarlouis was the first plant in the Group to successfully pilot SCIIL eLPA. In the complex seat assembly process with numerous customer requirements, daily LPAs and high OEM pressure, the tool ensures a clear structure, simple implementation and maximum transparency – a must when quality has to be assured on a daily basis. Today, SCIIL eLPA is standard and runs in all Adient plants worldwide.

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    MAHLE Stuttgart

    “If only we had introduced SCIIL eLPA earlier – today it almost runs itself with process audits and is really well received by the team.”

    Daniel Zimmermann,
    Global Commodity Buyer

    As a global automotive supplier with over 100 locations and the highest quality requirements, MAHLE needs a system that maps daily LPAs efficiently, transparently and uniformly worldwide. Manual planning and evaluation was error-prone and time-consuming – with SCIIL eLPA, a centralized system was introduced that automates planning, makes deviations immediately visible and structures the processes across all locations. This not only increases audit quality, but also ensures the necessary acceptance among users.

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    OLYMP Bezner KG

    “With SCIIL CAQ & TRACE, we have created uniform standards worldwide – and can react much faster. This brings more quality, more transparency and fits in perfectly with our sustainability approach. ”

    Johann Trischbergerr,
    COO Olymp Bezner

    Kundenreferenz von OLYMP zur MES-gestützten Produktionssteuerung in der Textilindustrie

    OLYMP uses SCIIL CAQ & TRACE to control complex inspection processes in shirt production – from incoming goods inspection to end-of-line inspection. Special inspection methods and individually defined sampling logics are also used, which have been precisely adapted to the requirements of textile production. Bidirectional integration with the ERP system ensures consistent data flows. Data is recorded directly on the line – mobile, convenient and intuitive. A strong example of successful CAQ integration in the fashion industry.