IrisGo raised funding to create a startup assistant

Technology
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IrisGo startapi aqlli yordamchi yaratish uchun sarmoya jalb qildi
According to experts in the field of artificial intelligence, the next important stage in the development of technologies is related to active and proactive systems. This was reported by Zamin.uz.

Such smart assistants are capable of anticipating the user's needs before they even realize them and performing the necessary actions. The IrisGo startup, which aims to achieve leadership in this area, managed to attract a seed investment of three million dollars at the beginning of this year from a special team led by renowned scientist Andrew Ng.

The company is developing a desktop assistant that carefully studies the user's daily workflow on personal computers and performs these tasks independently without human intervention. The project was founded by Jeffrey Lay, a former Apple engineer who participated in creating the Chinese language training for the Siri voice assistant.

Notably, the name of the new program is derived from the reverse spelling of the well-known assistant's name. The system's operation principle is designed to be extremely simple and intuitive.

It is enough to demonstrate an action once, after which the system remembers it and performs the task independently in the future without additional instructions. For example, it can handle processes ranging from online shopping to complex tasks in work activities.

The new assistant comes equipped with a ready set of skills, enabling it to write electronic letters, format accounting documents, prepare reports, and extract concise summaries from long texts. At the same time, the program monitors the user's actions on the computer and learns new tasks.

Additionally, the application includes special technical tools that assist developers in writing code, thereby helping to increase specialists' productivity.

According to the project's founder, the main goal is to free employees engaged in intellectual labor from tedious and repetitive tasks. Importantly, this system processes the bulk of data locally on the user's device.

This ensures a high level of personal privacy and security compared to other programs that send data to remote servers. Currently, this promising project is being closely monitored and supported by some of the world's largest technology corporations.

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