Texel has increased efficiency and quality of work several times with the introduction of AI

2024: Increased efficiency and quality of work with AI

Texel"," "resident," "Skolkovo several times increased the efficiency and quality of work through implementation. artificial intelligence The Skolkovo Foundation announced this on February 13, 2024. The use neuronets allowed to increase the conversion and speed of hypothesis testing, reduced the time for hiring employees and waiting for clients to respond. The company has already successfully implemented in AI eight key positions.

LLM-based technology is in the spotlight and is expected to deliver significant results in all areas of digital media: text, audio and graphics. However, each technology has its own limitations. So, for example, the generation of 3D objects and photogrammetry are still quite complex tasks for neural networks and are still only in their infancy. For companies like Texel, engaged in the development of 3D and photogrammetry, this is not a hindrance, because neural networks can be used to optimize a large number of other processes that belong to the back office, "said Alexey Kalenchuk, director of digital creative industries" Skolkovo. "

Neural networks allowed the company to fully automate the recruitment process, which makes it possible to organize an interview the very next day after the notification of the employee's departure and ensures the uninterrupted transfer of cases to new employees. This reduced the time from an employee announcing a departure to hiring a new person from a month to one week.

To optimize the decision-making process, management has implemented the "AI brainstorming" rule. In the field of sales, neural networks help to process complex customer requests and negotiate. The waiting time for a response by clients has been reduced by 18 times, the answers themselves do not go according to templates, but based on the collected knowledge base and always clearly and in detail answer customer questions.

Customer technical support is provided by the neural network at the first level, guaranteeing round-the-clock service and answers to any questions. The neural network is also used to analyze scientific articles, solve mathematical problems, develop algorithmic approaches and accelerate the generation of research hypotheses by 4 times.

In the development of software, neural networks have become indispensable assistants: their functionality is used both for writing scripts and for complex coding. And in marketing and legal work, AI is used for deep data analysis, preparation of materials, effective reading and analysis of legal documents.

The efficiency of using neural networks in our company lies not just in automating processes, but in completely rethinking and rebuilding our approach to work. Neural networks do not replace people, but complement and strengthen our capabilities. This is a new type of interlocutor that helps us see things in a new way and solve problems more efficiently. Neural networks help us achieve our goals by increasing the value of human contribution, "said Maxim Fedyukov, CEO of Texel.