Custom Software
We create dedicated solutions that support the automation and digitisation of internal and external processes. From business analysis to implementation.
Unleash the potential of data and Artificial Intelligence in the Manufacturing sector
Modern manufacturing requires intelligent tools to optimize processes, reduce costs, and increase efficiency.
Artificial Intelligence (AI) is transforming the way production is managed, enabling better control over operations, minimizing losses, and automating key tasks.
Artificial Intelligence is a partner of modern manufacturing, supporting process automation, as well as enabling failure prediction and faster decision-making.
Complexity of production processes
High costs of downtime and inefficiencies
Need for better data management
Maintaining product quality
Growing automation requirements
IoT and real-time monitoring
Predictive maintenance
System supporting certification processes
RPA for office automation
Data Lake for data centralization
Implementation of AI tools for ERP systems
Minimization of downtime and failure costs
Improved product quality thanks to AI
Efficient inventory and supply chain management
Increased efficiency of employees and IT department
For customers:
Identifying customer needs based on a description or drawing, assembling the product, presenting multiple options, and sending a request for quotation based on the selected option and specified quantity.
For the preparation team:
Supporting product composition by finding alternatives, identifying the most cost-effective components, and reducing production waste.
For the maintenance team: Predicting potential failures and enabling preventive actions through real-time data analysis to reduce downtime, extend equipment lifespan, and improve operational reliability.
For operational and administrative teams:
Optimization of planning, resource management, and documentation with AI agents. Reduction of workload, streamlined workflows, and improved handling of tasks such as purchase orders, invoices, and compliance reports.
The foundation of successfully implementing Artificial Intelligence solutions is, above all, the proper collection of data and their correlation. That’s why at 3Soft we take a comprehensive approach to building a data environment, and as a first step, we create the so-called Single Source of Truth – one consistent source of truth about data within the organization.
We integrate data from various systems (MES, SCADA, ERP, Excel, sensors, WMS, and others), ensuring their full integration and consistency.
Thanks to this, we:
When needed, we also create dedicated data visualizations and support our clients in the continued development of their analytics environment – through training and consulting services.
We create dedicated solutions that support the automation and digitisation of internal and external processes. From business analysis to implementation.
We provide strategic consulting, design, and implement data architectures (on-premises, cloud, hybrid).
Explainable Artificial Intelligence (XAI – Explainable AI), recommendation systems, MLOps – implementation, monitoring, ethics, and responsibility in AI.
Data processing, data cleaning, feature engineering, dimensionality reduction, multivariate analysis.
Descriptive statistics, statistical inference, time series analysis, extrapolation and interpolation.
Machine Learning & Deep Learning – supervised and unsupervised learning, classification, prediction, segmentation and clustering, machine algorithms, neural networks and their architectures, mathematical and probabilistic modeling.
“Already during the initial talks, 3Soft representatives offered possible solutions and recommendations (…), and then implemented the project as agreed. It was very important to us that the experts from 3Soft approached our processes in a fully flexible manner, and the involvement of people on our side (…) was minimal – it mainly came down to making key decisions and clarifying any doubts.”
Acting Reporting Systems and BI Manager at Volkswagen Group Polska
Manufacturing sector on AI
64%
of manufacturing companies plan to significantly increase spending on AI solutions over the next 2 years.*
Main concerns related to implementation include:
*According to the NTT Data Global GenAI Report, 2025
Using Gen AI in an on-premises or hybrid model eliminates the risk of data leakage.
This approach ensures complete security and control over data, while delivering precise real-time recommendations.
Safeguarding business know-how and internal data security
Predictable long-term costs and stable expenses during scaling
Training models tailored to the organization’s context
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The solution enables interaction with the company’s knowledge base – it provides instant answers to questions about internal procedures, policies, or regulations – even in the case of complex queries.
A solution designed for call centers. It converts speech to text during a consultant’s conversation with a customer. When the application detects a specific keyword, it displays the consultant with an appropriate instruction or message on the screen – tailored to the context of the conversation.
The solution enables the extraction of dispersed data from PDF documents and transforms it into a structured, transparent format – data that can later be used to power machine learning models and other GenAI-based solutions.
LLM on-premises
5x faster than the cloud*
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