See how software creates the future

One sentence from the customer, six conditions hidden inside. How do you design a voicebot that, when there are no free slots that day, finds a suitable alternative on its own and offers it faster than an agent?

Find out how to design customer service automation that preserves case context regardless of the contact channel chosen.

Your system still works, but it increasingly needs manual workarounds, generates extra costs, or makes implementing changes difficult? That doesn't always mean you need to replace it. Read the article and find out when it's worth taking action.

We separate classic NLP and LLM at the level of definitions and operational function. We discuss the implications for quality, cost and maintenance, and point out when a generative model is the better choice, and when traditional NLP is preferable.

Product recommendations, chatbots, intelligent forecasts – AI is revolutionising online shopping and helping stores sell more. Read the article to see how AI genuinely supports e-commerce growth.

In your production, do you spend more time fixing problems than anticipating them? If you feel that processes are becoming increasingly complex, costs are rising, and quality is slipping out of control, this article will show you how to leverage the potential of AI to regain control and build a competitive edge.

Do you want your customers to receive faster and more personalized support than ever before? AI not only automates simple processes but also enhances the quality of interactions and creates positive experiences. Read the article to see how this technology can boost your customers’ satisfaction and loyalty.

Do you want to improve your company’s efficiency, shorten order fulfillment times, and minimize errors? A dedicated logistics system is the solution that will help you achieve these goals. In this article, you will learn how modern systems such as WMS, TMS, and ERP can streamline the management of goods, transportation, and warehousing, giving you full control over your processes.

Is it possible to combine the convenience of a website with the features of a mobile app without installation? A PWA is a Progressive Web App that looks like a native app and runs in the browser, with no installation required. Learn how PWAs are changing the approach to online services, what they offer from both the user’s and business perspective, and when it’s worth choosing this solution.

A WMS system is the digital brain of the warehouse. It automates processes and ensures control over the flow of goods. Want to manage logistics more efficiently? See how WMS works in practice and why it’s becoming the standard for modern warehouses.

Retrieval-Augmented Generation (RAG) makes it possible to combine the capabilities of LLMs with up-to-date knowledge. Thanks to this, the technique enables generating accurate answers – grounded in context, based on facts, and free from hallucinations. See how RAG works, when to implement it, and why it is becoming the foundation of modern AI applications.

AI in logistics is not just automation – it is real support in route planning, demand forecasting, and eliminating downtime. The technology analyzes data in real time, helps respond to changes faster, and makes the daily work of teams easier. It is a step towards more flexible and efficient supply chains. What specific benefits can it bring to your company? Read the article to find out.

TMS is a system that transforms the way logistics is managed. In the article, we show how TMS works in practice, what functions it offers, why it is also becoming a standard in smaller companies, and what to pay attention to when implementing it. See if TMS is the right solution for your company!

Creating applications does not have to mean months of coding and engaging entire IT teams – thanks to low-code platforms, solutions can be delivered much faster, with less resource and time involvement. In the article, you will read how this approach works, what benefits it brings, and why more and more companies are choosing this path. You will also learn how low-code differs from no-code, what types of applications can be created, and in which industries this technology works best. If you are looking for a fast and flexible way to digitize your company – this article is for you.

It doesn’t take a catastrophic failure or a flawed strategy for an IT project to fail. Sometimes all it takes is a “detail”: a button that doesn’t work on a phone, a discount applied incorrectly, or the lack of an error message that leaves the user unsure of what they did wrong. From a technical perspective – seemingly nothing major. And yet it is precisely these “small things” that can undermine weeks of work and discourage users from the very first interaction with the system.

Does a Junior Developer still have a chance to compete with AI that can generate a full application in just a few minutes? Or maybe the key lies in collaboration rather than competition? Using a real-world scenario, we analyze how the role of a beginner programmer is changing in 2025, what AI does faster, what it still cannot do, and where human decision-making, intuition, and business context are still needed.

Many companies face an important choice: use off-the-shelf software available on the market or invest in a dedicated solution tailored to their own needs and processes. While “ready-made” options often seem faster and cheaper to implement, it’s worth asking whether they will meet the company’s requirements in the long run.

Is it possible to teach a model… not to answer? This is one of the key challenges in working with LLMs. Hallucinations – generating false information – are a real problem, especially when AI is meant to support business decisions. Check out the article where we explain where hallucinations come from and how RAG architecture can help reduce them.

Are automated tests just an extra cost, or a real saving of time and resources? As project complexity grows, manual testing can become a bottleneck. Automation not only speeds up the process but also increases its reliability. Read on to find out when it’s worth investing in automated testing – and when it might be better not to.

Artificial intelligence is increasingly appearing in conversations about business development, as an opportunity to streamline processes, increase efficiency, and create innovative solutions. But where should you actually start if you’re considering implementing it in your organization? How do you prepare your team, ensure the right approach, and avoid actions that won’t deliver real value? Check out our latest article.

Chatbots are becoming an increasingly common element of interaction between companies and users. They often make communication easier, but sometimes, instead of helping, they cause frustration. What does this depend on? In this article, we show how the role of chatbots is changing alongside technological development. If you want to better understand how modern chatbots work and where they are applied, this material will be a good starting point.

Searching in e-commerce can be frustrating - general queries often return imprecise results. Text-to-SQL changes this by translating natural language into precise database queries. Combining this technology with RAG not only enables better filtering of results but also generates accurate recommendations and answers in natural language. How does this combination work and what benefits does it bring? Find out in the article!

Before new software reaches end users, it goes through several key stages that refine its performance and eliminate potential errors. Check out our article to learn the differences between DEV, UAT, and PROD.

IT project execution is like playing together on the same team, where each member has their own role. To achieve success, it is necessary not only to understand who is responsible for what, but also to create effective collaboration between the client and the software house. In this article, we will take a closer look at the division of roles, challenges, and best practices that help build an effective partnership.

In classic applications, fixing a bug usually means improving the overall performance of the system. However, when it comes to AI-based chatbots, this approach often fails. Why? How can such solutions be effectively developed and improved? You’ll find the answers in the article.

You’re running a construction project - you meet with the crew once at the start, then come back a year later to see the result. The chances it will meet your expectations? Very slim. It’s the same in IT - find out how to ensure better results through effective communication with a software house.

Getting to know Large Language Models (LLMs) is the first step toward understanding the technology that is already transforming our reality. How do Large Language Models work, why have they gained popularity, and what limitations do they have? That’s exactly what we explain in this article. Enjoy the read!

Artificial intelligence is rapidly transforming our lives. It is permeating key areas such as medicine, education, transportation, and commerce, offering new opportunities and streamlining many processes. However, with progress come questions about security, data protection, and the ethical implementation of technology. Can we harness the potential of AI without exposing ourselves to its risks? A responsible approach to the development of artificial intelligence is a challenge that requires the attention of us all.

Artificial intelligence is no longer a technological curiosity – it is a fundamental element of modern business and IT that has transformed the way companies operate. From automating operational processes to personalizing customer experiences and powering advanced recommendation systems, AI is redefining what is possible. In 2025, this transformation is accelerating even further explore the opportunities and challenges of AI.

Have you ever felt like you were talking to a machine that didn’t understand you at all? That’s exactly one of the differences between a regular chatbot and an AI-powered chatbot.

In a world where data is a resource, it’s not the amount that matters, but the ability to quickly find and process information. RAG combines language models with search, delivering precise answers based on reliable data. Want to see how AI technologies can revolutionize your business? Read the article and discover new opportunities.

Combining Large Language Models (LLMs) with retrieval mechanisms in RAG systems opens up new opportunities, but it also raises questions about data security. How can sensitive information be identified in compliance with GDPR without losing operational efficiency? Is it always worth reaching for the most advanced techniques?

In Retrieval-Augmented Generation (RAG) systems, the retrieval process is the foundation, but the mere ability to find documents matching a user’s query is not always enough. Reranking plays a key role the process of selecting and ordering results, which determines the quality of the response. How does it work, what does it involve, and why is it important? Find out in the article.

Choosing a cooperation model with a software house requires a conscious analysis of the project’s specifics and the expectations of both parties. Fixed-Price, Time and Materials, or a hybrid – each of these approaches works in different conditions and carries specific consequences.