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Henry Ford did pretty well back in the day by making black cars for every customer. We tailor our solutions.

Knowledge sharing • 10 min read

DeepSeek – How Does an LLM Make the News?

On January 20, 2025, Chinese company DeepSeek released a new large language model that attracted considerable attention both within the Data Science community and across the market. Following the release of DeepSeek R1, NVIDIA’s market value dropped by a total of $589 billion, while many other US stocks associated with AI also plunged during the day. How could such a seemingly ordinary event trigger changes on this scale?

Sólyom BalázsChief Data Officer
AI visualization

Case study • 1 min read

M.I.N.D. & News Pulse

Media Solutions by Trendency

Trendency Online Zrt.

Reference • 2 min read

Divide and Conquer! – AI-powered solutions for smarter digital targeting

“Everyone” is not a target audience. Segmenter and AdSmart are two Hungarian-developed, AI-powered solutions designed to deliver more precise targeting, automated processes and greater control over data – offering a competitive alternative to global advertising platforms.

Trendency

Reference • 5 min read

Digital Credential Service Provider – The Foundation of a Digital Hungary

The Digital Credential Service Provider (DCSP) is about much more than developing a mobile application. It is building a nationwide digital infrastructure that will reshape the relationship between citizens and the state in the long term. As a strategic partner of IdomSoft, Trendency has been involved in shaping and continuously developing this ecosystem from the very beginning.

Trendency

Reference • 3 min read

Kormany.hu – Digital Government Communication Built on Research

We contributed to the renewal of kormany.hu, the official website of the Government of Hungary. Our task was to create a research-driven UX and structural concept that aligns user needs and editorial workflows with the technological requirements of a high-profile government platform.

Trendency

Reference • 5 min read

From Complex Case Management to Online Administration – Integrated Digital Solutions for NUSZ

We participated in the development of two interconnected digital solutions for Nemzeti Útdíjfizetési Szolgáltató (Hungarian National Toll Payment Services Plc.; In short: NUSZ). The FŐNIX Surcharge Management System supports complex internal administrative, financial and legal processes, while the Surcharge Portal built on top of it provides digital administration services for external users. The common goal: stable, secure and efficient digital support for high-volume processes.

Trendency

Reference • 2 min read

30 Media Brands, One Digital Ecosystem

How can the content production and distribution of 30 different media brands be efficiently supported within a single system? For Mediaworks, we built a central CMS framework that brings together the operations of one of Hungary’s largest media portfolios – from editorial workflows to the reader experience.

Trendency

Reference • 3 min read

Home Start Program: A Digital Ecosystem Built in Just a Few Weeks

How do you build an entire digital ecosystem in just a few weeks within a highly regulated environment? When developing the website and mobile application for the Home Start Program, speed, security and regulatory compliance were essential – without compromising on user experience or innovation.

Trendency

Knowledge sharing • 3 min read

ATLAS: A New Solution for Long-Context Language Models

Google's new ATLAS architecture pushes beyond today's context limits. Its adaptive memory module learns even during inference, enabling stable performance on sequences of up to 10 million tokens. The result? Processing entire books, massive codebases, or even hours of video may soon become practical.

Trendency

Knowledge sharing • 2 min read

Prompt Routing

We ask the question, and the LLM delivers an answer—but what happens behind the scenes? Often, the key is prompt routing: the technique that automatically directs each request to the most appropriate model or processing pipeline. Rule-based? Embedding-based? Or perhaps RAG? Here's how modern LLM systems make that decision.

Trendency
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