ChatGPT leads OpenAI to $1 billion revenue target after losing $540 million in 2022
Date: 2023-08-30 Author: Karina Ziganova Categories: BUSINESS
OpenAI will aim to surpass the $1 billion mark generated this year through sales of AI software and related computing power. This was reported on August 29 by The Information..
The AI startup has significantly increased its monthly revenue to around $80 million. This is a big increase from the previous $28 million in revenue, which was driven by the introduction of fees for the well-known ChatGPT chatbot. However, The Information reported that OpenAI lost about $540 million last year developing GPT-4 and ChatG Pt.
ChatGPT has gone viral and has been used around the world, reaching 100 million monthly active users in record time. His website received over 1 billion visitors just once, on June 6th. This makes it one of the most used web applications by web users.
OpenAI generates revenue by selling access APIs to its AI models to developers and enterprises, and by partnering with Microsoft. In January of this year, Microsoft invested more than $10 billion in the AI startup and also integrated ChatGPT into some of its products.
On August 30, OpenAI launched ChatGPT Enterprise, providing consumers with top-tier security and privacy measures with unlimited high-speed access to G Pt-4. Integrated data analysis tools can be extended with additional features or customized configurations based on user needs; additional means of encrypting information are also possible.
ChatGPT Enterprise, offering customers data security and protection through data ownership. At the same time, the client is given full control over their data in accordance with the standards of SOC 2 encryption of conversations. With its convenience, the team will be able to easily manage through the admin console. It supports domain validation and single sign-on (SSO) and provides insights for large deployments.
In addition to highly effective and reliable security features, ChatGPT Enterprise gives you unlimited access to advanced data analysis, before what is known as a code interpreter. This tool will enable not only technical but also non-technical teams to quickly analyze data.
