Company patents
QlikTech International AB
QlikTech International AB's patent strategy reveals a strong, albeit consolidating, focus on its core 'Databases & Information Retrieval' area, which accounts for 78.9% of its portfolio, despite a -40.0% decline in patent grants from 2023 to 2024. Surprisingly, while 'Machine Learning & AI' saw a significant 50.0% growth in 2025, the overall patenting activity across most categories, including 'Natural Language Processing' (which grew 100.0% in 2025), appears to be significantly slowing down so far in 2026, with many categories showing a -100.0% YoY decline.
Patent Trend by Technology Area
Yearly patent publications since 2023
Product themes
Product-level themes inferred from filings since 2023, with category chips showing where each theme appears. Select a theme to filter the patents below.
57 US filings (since 2023) · 10 categories · 9 themes
Methods and systems for integrating, transforming, and managing complex or domain-specific data from disparate sources into a unified structure, often for specific applications like social networks, genomics, or business forms.
Methods and systems for displaying complex data in three-dimensional graphical formats, allowing users to manipulate, explore, and derive insights from the data through interactive controls.
Systems and methods utilizing artificial intelligence, particularly large language models and neural networks, to extract, summarize, generate, or categorize information from unstructured or semi-structured data sources.
Systems and methods for automating the lifecycle of machine learning models, including pipeline deployment, model management, versioning, and configuring for different inference environments.
Systems and methods for identifying and blocking unauthorized access, malicious activities, or abnormal behavior within a network by analyzing traffic, system logs, or behavioral patterns.
Utilizing machine learning, particularly deep learning, to analyze medical data such as images, sensor readings, or physiological signals for disease prediction, diagnosis, or treatment assessment.
Systems that process data to provide personalized recommendations, predict events, or automate decision-making processes based on learned patterns, user behavior, or environmental factors.
User interface designs and systems that enable multiple users to interact with shared content, provide feedback, or coordinate activities, often across different devices or locations.
AI systems designed to engage in natural language dialogue, maintain conversation state, understand user intent, and generate relevant responses, often across multiple communication channels or modalities.
Patents
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Collaborative User Experiences