Startup Pixis AI frees users from coding for their artificial intelligence model

The use of artificial intelligence in many businesses has become a mandatory thing today, and many organizations are trying to develop their own artificial intelligence model. In the meantime, smaller organizations that do not have the possibility to use the private model analyze their data using pre-developed models.

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The process of data collection, screening and labeling is a difficult and challenging process, and if it is not done by an expert, it can cause many problems in the future. One of the most fundamental problems in the process of data classification occurs in the coding stage, and minor errors in this part can have significant destructive effects on the final model. One of the solutions to this problem are platforms with a graphical user interface that allows collections to achieve organizational goals without the need for coding. One of these solutions is provided by the startup Pixis AI, and the platform of this startup provides users with the use of neural networks without coding.

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In its recent financial period, Pixis AI has managed to attract 100 million dollars in capital and has used this capital to strengthen its hardware and software infrastructure. After attracting capital, this startup has added more than 120 new artificial intelligence models to its platform so that users can access a wide range of models for their business and marketing purposes. The managers of this startup have considered the criterion of 200 artificial intelligence models as their goal and do not see their distance from reaching this point.

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Currently, more than 100 international customers cooperate with Pixis AI and use the services of this startup in a plug-and-play manner without the need for coding. The system’s advanced neural networks have been trained by billions of data collected and improved over time as new data is collected.

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This startup uses unique clustering algorithms to improve the performance of its models in targeting contacts and creates specific groups according to the specific characteristics of each person. These groupings improve conversion rates and cross-platform engagement and facilitate effective customer feedback. It also enables collections to make the most of their generative AI models to create engaging visual and textual content.

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Setting up an internal artificial intelligence department entails many challenges; From the cost of manpower and the provision of infrastructure to the time required to code the model. In the meantime, the solution of startups like Pixis AI can be a solution for many businesses that do not have the ability to establish an internal department. What do you think about this?

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