Anthropic Unveils Claude Enterprise Plan, Aims to Rival OpenAI’s Dominance

Anthropic has introduced Claude Enterprise, a new AI chatbot plan for businesses that includes improved security and features to compete with OpenAI’s ChatGPT Enterprise.

Anthropic is releasing a new subscription plan for its AI chatbot, Claude. This plan caters to business customers seeking enhanced security and administrative controls.

OpenAI’s business-focused solution, ChatGPT Enterprise, which came out about a year ago, will be a competitor to Claude Enterprise.

Businesses can use Anthropic’s AI chatbot, Claude Enterprise, to share confidential information. As the company’s AI assistant, Claude can then look at the data and answer questions about it. He can also make graphics and simple web pages.

 It looks like Anthropic is trying to catch up to OpenAI by putting Claude in places where ChatGPT is already present. The new company has released a few ways to use Claude that are very similar to what OpenAI already does with ChatGPT.

In reality, businesses have been able to use Claude for a year now. “To be honest, we’ve had a product on the market for a lot less time,” Scott White, the lead product manager for Anthropic, said. “But we can meet the needs of our customers quickly with a smaller team in hand.”

In May, Anthropic released the Claude Team plan. It allowed small businesses to collaborate on projects, much like the ChatGPT team plan. Since spring, Anthropic has been releasing Claude apps for iOS and Android phones.

Now it has to compete with ChatGPT Enterprise, which is used by many Fortune 500 companies. Anthropic’s business service differs from other services on the market in several significant ways. In Claude Enterprise’s context window, there are 500,000 tokens.

This means that Anthropic’s models can handle up to 200,000 lines of code, many 100-page documents, or an audio transcript that lasts two hours all at once. With ChatGPT Enterprise and Claude’s team plan, you can get context windows for less than half the price.

Anthropic’s workspaces, projects, and artworks are part of Claude Enterprise. These are places where multiple users can upload and change content. In a business setting, these features could be useful if you’re working on a long-term project with many people and data sources.

The Enterprise plan also comes with GitHub integration, which lets engineering teams keep Claude and their GitHub repositories in sync. Claude Sonnet 3.5 has been added, which means that Anthropic’s models can now directly access its customers’ codebases.

This can help with things like getting a new engineer up to speed, adding a new feature, or fixing a bug. Claude Enterprise, like ChatGPT’s Enterprise plan, allows businesses to name a main user for their workspace.

That owner can give different levels of access to Claude’s projects and information, as well as keep track of all activity on the system to make sure it’s safe and following the rules.

Similar to OpenAI, Anthropic asserts that it does not train on Claude Enterprise customer data. For many companies, that’s important because they don’t want their trade secrets to end up in Claude or ChatGPT’s mind in six months.

Enterprise AI Pricing

Anthropic wouldn’t say how much Claude Enterprise costs, but White said it was more expensive than Anthropic’s Team plan, which costs $30 a month for each member.

White explained that Enterprise customers can use Claude for longer periods because they have access to larger context windows and higher rate limits. For what it’s worth, OpenAI also won’t say how much its enterprise product costs in public.

He says that Anthropic has been working on a private beta for months with early adopters like Menlo Ventures, GitLab, Midjourney, and IG Group. Menlo Ventures is an investor in Anthropic.

However, getting more people to use it will be critical. There has been a lot of pressure on AI model developers like Anthropic to sell API access for less and less money.

While products such as Claude Enterprise can generate revenue, their widespread use is necessary to justify their high inference costs. Some people who work on AI models may not be making money off of these business-specific plans just yet.