User Experience AI

Would your software benefit from a better User Experience? Using tomorrow's technology, we want to create outstanding experiences for your users today. Our founder, Peter W. Szabo, is a world-renowned UX researcher who has helped many big brands get closer to their user and is the author of User Experience Mapping (Packt, 2017). You will get to work directly with him, as he personally oversees every single UX project we do. Interested? Contact our founder directly:

Recently we have acquired allies with superpowers. Yes, we mean AI. Machine learning can play a key role in creating better experiences for users in a number of ways. Here are a few examples:

Behavior Prediction

Machine learning can also be used to predict user behavior and preferences. This can help businesses to anticipate user needs and proactively address them, creating a more seamless and intuitive user experience.

Read the peer-reviewed IEEE whitepaper…


By analyzing the gargantuan dataset of all user events, our models can predict what users want or need and make personalized recommendations using collaborative filtering. This can help improve the user experience by making it more relevant and engaging.

Natural Language Processing

We can improve how users interact with technology by enabling natural language processing. By analyzing user language and communication patterns, machine learning algorithms can understand user intent and respond in a more human-like way. This can help create a more intuitive and user-friendly experience, particularly in customer service or chatbots.

Image and Video Recognition

ML can also recognize images and videos, allowing for more advanced user experiences. For example, image recognition can be used to tag photos automatically, while video recognition can be used to identify specific scenes or objects within a video. This can help businesses to provide more relevant and engaging content to users.

Fraud Detection

AI can detect and prevent fraudulent activity, providing users with a more secure and trustworthy experience. By analyzing user behavior and transaction data, machine learning algorithms can identify patterns and anomalies that may indicate fraudulent activity, such as unusual spending patterns or suspicious login attempts. This can help businesses to detect and prevent fraud in real time, providing users with greater peace of mind and a more secure experience.

Sentiment Analysis

Machine learning can analyze text data to determine the sentiment or emotional tone of a user's message, comment, or review. This can be used to understand how users feel about a product or service and to identify areas where improvements could be made. Businesses can improve the user experience and build customer trust by responding to user feedback and addressing concerns.

Quality Control

With traditional data science tools and modern AI, we can analyze user feedback, reviews, and other data to identify areas where a product or service can improve. We will identify common issues or pain points that are impacting the user experience and take action to address them.

User-tailored image generation

Different users respond to imagery differently. It is possible to leverage AI-based image generation to improve the user experience by showing imagery more aligned with the users' mental model. This project is part of the Image AI portfolio.

User-tailored content generation

Large language models can automatically generate copy, such as text for websites, product descriptions, emails, marketing, or any business communication. By analyzing patterns in text data, machine learning algorithms can learn to generate human-like text that is engaging and informative, improving the overall user experience. This can also align with the user's predicted mental model for greater engagement.

Supply Chain Optimization

AI can be used to optimize supply chain processes, improving the speed and accuracy of product delivery. By analyzing data on shipping times, inventory levels, and demand patterns, machine learning algorithms can identify opportunities to streamline the supply chain and improve the user experience for customers.

Machine learning can help your businesses to understand and anticipate user needs, leading to a more seamless and satisfying user experience. Our journey together starts with an email to!