Czym zajmuje się SynAppsTech w obszarze Przemysłu 4.0?

Tworzymy oprogramowanie do cyfryzacji produkcji i utrzymania ruchu: systemy predykcyjnego utrzymania ruchu, monitoringu stanu maszyn, akwizycji danych z maszyn oraz platformy IIoT. Realizujemy projekty od analizy biznesowej, przez architekturę i UX, po implementację, testy i wsparcie.

Czym jest predykcyjne utrzymanie ruchu (predictive maintenance)?

To podejście, w którym stan techniczny maszyn monitoruje się na bieżąco (np. drgania, temperatura), a algorytmy przewidują awarie, zanim wystąpią. Dzięki temu zakład ogranicza nieplanowane przestoje i serwisuje maszyny wtedy, gdy to faktycznie potrzebne, a nie według sztywnego harmonogramu.

Czy macie doświadczenie w diagnostyce maszyn wirnikowych?

Tak. Prowadzimy projekt platformy zaawansowanych metod oceny stanu technicznego i diagnostyki maszyn wirnikowych w modelu SaaS, w ramach cyfryzacji utrzymania ruchu w elastycznym modelu subskrypcyjnym. Platforma na bieżąco analizuje stan maszyn i wspiera decyzje serwisowe, ograniczając ryzyko nieplanowanych przestojów.

Czym jest IIoT i jak wdrażacie je w zakładzie?

IIoT (Industrial Internet of Things) to sieć czujników i maszyn połączonych z systemami IT, które zbierają i analizują dane produkcyjne w czasie rzeczywistym. Wdrożenie zaczynamy od akwizycji danych z istniejących maszyn, integracji z systemami zakładu i wizualizacji, a następnie dokładamy analitykę i predykcję.

Czy budujecie systemy MES i integrujecie maszyny z systemami IT?

Tak - tworzymy oprogramowanie na zamówienie do zarządzania produkcją i integrujemy park maszynowy z warstwą IT zakładu. Zakres dopasowujemy do procesu klienta, zamiast narzucać gotowy, sztywny produkt.

Ile kosztuje wdrożenie rozwiązania Przemysłu 4.0?

Koszt zależy od zakresu: liczby maszyn, stanu istniejącej infrastruktury danych i wymaganej analityki. Każdy projekt wyceniamy indywidualnie po krótkiej analizie potrzeb - najszybciej przez formularz wyceny na stronie.

Czy pomagacie pozyskać dofinansowanie na cyfryzację?

Mamy doświadczenie w realizacji projektów współfinansowanych ze środków UE. Jeśli planujesz cyfryzację z dofinansowaniem, podpowiemy, jak dopasować zakres projektu - szczegóły ustalamy indywidualnie.

Technology

Industry 4.0

We deliver comprehensive system platforms that connect data, people and machines. Following the path from sensor to decision, we co-create even smarter, safer and more efficient factories.

Intelligent Digital Transformation

At SynAppsTech, we believe that the future of software engineering is inseparable from the potential of Artificial Intelligence (AI). As an international software house, we specialise in designing and implementing custom AI solutions that are a pillar of modern industrial transformation in line with the Industry 4.0 concept. Our mission is to take on complex challenges where the path to success is not obvious – where traditional methods fail, we deliver innovation. Our approach focuses on delivering research and development (R&D) projects, consulting services and implementing advanced AI/ML/DL-based applications designed to solve critical problems in industry. In particular, we focus on services that accelerate the digitisation and autonomy of manufacturing plants, where our expertise and experience can help in many areas.

Advanced
3D algorithms

We build solutions that automatically capture and process 3D data at an advanced level. Extracting the geometry and topology of production elements (manufactured products, machines, logistics and even operator movements) makes it possible to analyse these models for:

Production optimisation: Virtual analysis of processes and flows.
Maintenance support: Efficient planning of repairs and inspections.
Innovation: Using VR/AR technology in training, diagnostics and simulations.

These technologies are used in manufacturing, logistics, transport and advanced quality inspections.

Custom Inspection Stations

We build complete inspection stations tailored to the specifics of the plant, the product or the production line. Using advanced optics (2D/3D data) and AI algorithms (ML/DL), we offer solutions that minimise human error, raise quality and increase throughput:

Manual and semi-automatic: Supporting the operator in inspection decisions.
Automatic: Complete, unattended control of product quality and compliance.

We provide integration at every stage – from requirements analysis to the station's software and mechanics.

Document and Image Recognition

We minimise the costs and operational errors of manual document handling. Our AI solutions automatically classify, segment and extract key information from complex technical and operational documents and visual materials (e.g. quality control photos, routing cards). This improves operational efficiency and significantly increases data accuracy in quality control, inventory management and logistics documentation.

Sensor Fusion and Adaptive Control

We implement unified, intelligent systems that integrate data from a variety of sensors (vision, thermal imaging, vibration, process control). Real-time data processing, enhanced by reinforcement learning, enables:

Predictive maintenance: Early anomaly detection and failure prevention.
Adaptive control: Production lines that optimise themselves.

The result is self-correcting, highly efficient production lines.

Intelligent Graph Models

The complexity of modern industry generates highly interdependent data from multimodal sources (supply chains, energy consumption, machine-mounted sensors). We successfully use graph algorithms to model and analyse these dependencies. This enables organisations to:

Discover hidden correlations and bottlenecks in processes.
Globally optimise flows (raw materials, energy, finance).
Support more informed and strategic decision-making at management level.

Frequently asked questions

What does SynAppsTech do in Industry 4.0?

We build software for digitising production and maintenance: predictive maintenance systems, machine condition monitoring, machine data acquisition and IIoT platforms. We deliver projects from business analysis through architecture and UX to implementation, testing and support.

What is predictive maintenance?

It is an approach in which the technical condition of machines is monitored continuously (e.g. vibration, temperature) and algorithms predict failures before they happen. This lets a plant reduce unplanned downtime and service machines when it is actually needed, not on a rigid schedule.

Do you have experience in diagnostics of rotating machinery?

Yes. We are running a project for a SaaS platform of advanced methods for assessing the technical condition and diagnosing rotating machinery, as part of digitising maintenance in a flexible subscription model. The platform continuously analyses machine condition and supports service decisions, reducing the risk of unplanned downtime.

What is IIoT and how do you implement it in a plant?

IIoT (Industrial Internet of Things) is a network of sensors and machines connected to IT systems that collect and analyse production data in real time. We start the rollout with data acquisition from existing machines, integration with the plant's systems and visualisation, and then add analytics and prediction.

Do you build MES systems and integrate machines with IT systems?

Yes – we build custom production management software and integrate the machine park with the plant's IT layer. We tailor the scope to the client's process instead of imposing a rigid off-the-shelf product.

How much does an Industry 4.0 solution cost?

The cost depends on the scope: the number of machines, the state of the existing data infrastructure and the analytics required. We quote each project individually after a short needs analysis – the quickest way is the quote form on our website.

Do you help obtain funding for digitisation?

We have experience delivering projects co-financed by EU funds. If you are planning digitisation with funding, we will advise on how to shape the project scope – details are agreed individually.

cooperation