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Our clients say

richter

Pharmaceutical Company Richter’s data science team leader

“The systematic development of competencies during the joint project work with the expert of Neuron Solutions enables the team of Gedeon Richter Plc, after the implementation of the pilot project, to be able to start and execute AI development projects on its own or, if necessary, to select and apply supplier AI systems.”

Innovation manager of Hungarian Electricity Works MVM

“Neuron Solutions talked about the basics of this technology and possible benefits of its use in business through several use cases which included success stories in the electricity and energy industries. Following the training session, they gave advices to two MVM organisational units on how their operations can be improved by introducing AI-based enterprise applications. The training with 50 participants was successfully completed with a lot of positive feedback afterwards.”

knorr-bremse

Knorr Bremse’s R&D director

“The implementation and effectiveness of the project demonstrated very well that the application of AI is no longer just the prerogative of high-budget research institutes: in a short time, using reasonable resources, engineering tools can be created to speed up and facilitate engineering work in almost any company.”

BLOGS

AI-projektek: miért buknak el a legtöbben, és hogyan lehetsz te a kivétel?

AI Projects: Why Most Fail and How to Succeed

In the ever-evolving landscape of technology, Generative AI stands as a beacon of innovation, promising to revolutionize industries by automating tasks and enhancing productivity. Yet, as with any groundbreaking technology, there are challenges and misconceptions. Recent discussions in Silicon Valley have raised concerns about an “AI bubble,” largely due to a startling MIT study revealing that a staggering 95% of AI-driven projects fail to meet their financial goals. This statistic has rattled investors and prompted a reevaluation of AI’s role in business. But before we dismiss Generative AI as just another tech fad, it’s crucial to understand why these failures occur and how they can be avoided. The crux of the problem lies not in the AI models themselves, which

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2025.10.29

AI Agents and the Future of Work: How to Integrate Them Without Disrupting Your Teams

As part of our ongoing exploration of agentic AI in enterprise environments, we recently hosted a webinar that revealed both the potential and pitfalls of this emerging technology. For business leaders evaluating AI agents, here’s what we learned, and what you should know before making your next move. From Chatbots to Co-Workers Remember when we thought AI was just for answering simple questions? Those days are over. Agentic AI represents a fundamental shift: these systems don’t just respond, they plan, execute, and adapt autonomously. Think of them as digital colleagues who can figure out how to solve problems, not just follow rigid instructions. The difference? Traditional AI needs you to spell out every step. Agentic AI needs you to define

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2025.10.14

Reality or Illusion?

Creating a video from just a few words with AI might have seemed like science fiction a few years ago, today, it’s reality.OpenAI’s video generation system, Sora, is now available in Hungary.With only a few sentences, it can produce a full video. The real question is: who will use it, and for what purpose? What impact could this have on authenticity and the spread of disinformation?Kovács-Nagy Áron discussed the topic with Levente Szabados, Associate Professor at the Frankfurt School of Finance & Management and Lead Consultant at Neuron Solutions. This is not a new phenomenon: even in the past, historical photographs were altered to remove people, or film frames were manipulated. Such methods had significant influence even then, and today,

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2025.08.14

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