The biggest news from OpenAI since ChatGPT’s introduction was revealed on Monday: ChatGPT Enterprise, the AI chatbot’s commercial layer, will be made available on that day.
According to OpenAI COO Brad Lightcap, the tool has been in development for “under a year” with the assistance of more than 20 businesses of various sizes and sectors. Without usage restrictions, up to two times quicker performance than earlier versions, and API credits are all included with ChatGPT Enterprise. According to Lightcap, price would not be disclosed publicly and “it will depend, for us, on every company’s use cases and size.” Block, Canva, and The Estée Lauder Cos. were beta testers.
Fastest-growing Consumer Application
According to PitchBook, Microsoft increased its investment in OpenAI earlier this year by $10 billion, making it the largest AI investment of the year. In April, the startup is said to have closed a $300 million share sale at a valuation of $27 billion to $29 billion, with contributions from companies like Sequoia Capital and Andreessen Horowitz.
ChatGPT reached 100 million monthly active users two months after its November launch, setting records as the fastest-growing consumer application in history: A research vice president at Gartner, Brian Burke, described the uptake as “a phenomenal uptake — we’ve honestly never seen anything like it, and interest has grown ever since,” to CNBC in May. According to Lightcap and OpenAI, teams at more than 80% of Fortune 500 businesses were actively using ChatGPT.
One significant distinction between ChatGPT Enterprise and the consumer-facing version is that, although some of these features aren’t yet accessible in the Monday launch, ChatGPT Enterprise will allow clients to input company data to train and customise ChatGPT for their own industries and use cases. The business also intends to roll out ChatGPT Business, a lower level of usage for smaller teams, though it did not provide a timeframe.
Lightcap told CNBC that releasing the enterprise version first and delaying the business tier “gives us a little bit more of a way to engage with teams in a hands-on way and understand what the deployment motion looks like before we open it.”
The blog post by OpenAI stated, “We do not train on your business data or conversations, and our models don’t learn from your usage,” and it also stated that clients’ conversation data will be secured both in transit and at rest. However, as is largely common, the company does log aggregate data on how the tool is used, including performance metadata and more, according to Lightcap.