Neuron Solutions

Supercharge your enterprise capabilities with AI

Supercharge your enterprise
capabilities with AI​
From Insight to Implementation:
Your Enterprise AI Architect

We guide your company to find its way in the AI driven era

Services

AI Launchpad

From conceptualization to implementation, for tangible business outcomes.
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AI Exploratory Labs​

Custom AI solutions tailored to your unique needs.
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AI Training Academy

Transformative learning journey designed for everyone.
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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

Implementing Generative AI in Customer Support: Challenges and Strategies

As businesses continue to explore the vast potential of generative AI in customer support, they must also be aware of the challenges and pitfalls that may arise. Being prepared is essential, as it ensures smooth implementation and optimal utilization of the technology. Here, we delve into potential issues and provide guidance on navigating these challenges. Language Limitations: Ensuring Equal Representation Generative AI, though advanced, may not have equal proficiency across all languages. Some languages, especially less common ones, might not be as well-represented or trained as widely spoken ones. Businesses must ensure that their chosen AI solution caters to their customer base’s language requirements, ensuring that all customers receive consistent support quality. Selecting the Right Use Cases Generative AI can

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Business Example of Cost-Effectiveness of Generative AI in Customer Support

Customer support is an indispensable aspect of any successful business. However, traditional support methods can be resource-intensive, involving significant human effort and time. As customer expectations soar, companies face mounting pressure to provide 24/7 support, handle complex queries, and deliver personalized interactions. This is where generative AI comes into play, offering an avenue for cost-effective support without compromising on quality.  Let’s consider a hypothetical example of a mid-sized e-commerce company that handles customer support through traditional methods, employing a team of 30 human agents. The company receives an average of 6,000 customer inquiries per day, including common questions, complex queries, and order-related issues. Each customer support agent works an 8-hour shift, and the company provides 24/7 customer support to meet

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Leveraging Generative AI in Customer Support: A Cost-Effective Solution for Businesses

In today’s fiercely competitive business landscape, exceptional customer support is no longer just a necessity; it is a strategic differentiator. As companies strive to deliver top-notch customer experiences, they are turning to cutting-edge technologies like Generative AI to enhance their support operations. Beyond the obvious benefits of improved customer interactions, Generative AI presents a compelling case for cost-effectiveness in customer support. By automating repetitive tasks and optimizing resource allocation, businesses can achieve substantial savings while elevating their support services to new heights. 1. The Rising Importance of Cost-Effective Customer Support Customer support is an indispensable aspect of any successful business. However, traditional support methods can be resource-intensive, involving significant human effort and time. As customer expectations soar, companies face mounting

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