Companies using ChatGPT Enterprise have access to fast ChatGPT, greater security, and unlimited GPT-4 queries.

OpenAI has announced the launch of ChatGPT Enterprise, a new, business-oriented version of its groundbreaking artificial intelligence system.

In their recent blog post, OpenAI has gone into detail regarding their new launch, specifying its upgraded security and privacy enhancements and how it has built upon the lessons it learned from previous versions.

Some powerful upgraded features ChatGPT Enterprise offers its users, as per their blog post, include:

  • Unlimited access to GPT-4 (no usage caps)
  • Higher-speed performance for GPT-4 (up to 2x faster)
  • Unlimited access to advanced data analysis (formerly known as Code Interpreter)
  • 32k token context windows for 4x longer inputs, files, or follow-ups
  • Shareable chat templates for your company to collaborate and build common workflows
  • Free credits to use their APIs if you need to extend OpenAI into a fully custom solution for your org

Some assurances about robust security and privacy for its users include:

  • Customer prompts and company data are not used for training OpenAI models.
  • Data encryption at rest (AES 256) and in transit (TLS 1.2+)
  • Certified SOC 2 compliant

OpenAI is also working on several new features, including customization, availability for all team sizes, power tools and solutions for your function, which will be launched as soon as they are ready.

Jorge Zuniga, Head of Data Systems and Integrations at Asana, has said: “ChatGPT Enterprise has cut down research time by an average of an hour per day, increasing productivity for people on our team. It’s been a powerful tool that has accelerated testing hypotheses and improving our internal systems.”

OpenAI’s launch of ChatGPT Enterprise has come at a time when user engagement for ChatGPT has gone down and marks their effort to sustain global enthusiasm for their AI system. Their record for the most rapidly downloaded application was recently surpassed by Meta’s Threads.

More details can be found on OpenAI’s blog post regarding the same.