Anthropic launched Claude Enterprise, which offers an expanded 500K context window, more usage capacity and GitHub integration as well as single sign-on, role-based permissions and admin tooling.

With the move, Anthropic is building out a suite of enterprise plans powered by its Claude large language model (LLM). Anthropic is also available on the hyperscale cloud providers such as AWS used by enterprises.

Here's a look at Anthropic's steady cadence of enterprise tools:

With that backdrop, Anthropic's Claude Enterprise is aimed at companies that want to use their proprietary data with Claude for competitive advantage with enterprise-grade security. Claude Enterprise's default is that it doesn't train models on user data. Anthropic is also leveraging Claude Enterprise to popularize its collaboration features for multiple use cases.

On the security front, Claude Enterprise has single sign-on and domain capture, role-based access with fine-grained permissions, audit logs and system for cross-domain identity management, which will be available in the weeks ahead.

Early customers of Claude Enterprise include GitLab, BCG and North Highlander.

Other key points:

  • The 500k context window equates to hundreds of sales transcripts, dozens of 100 page documents and 200,000 lines of code to give Claude company-specific knowledge.
  • GitHub integration is designed for engineering teams looking to sync code repositories with Claude.
  • Projects and Artifacts are designed team-based use cases for marketing and product and engineering.
  • Target use cases for Claude Enterprise include marketing, engineering, sales, product management, human resources and legal.

Anthropic's Claude Enterprise competes with ChatGPT Enterprise, which launched a year ago.


Constellation Research's take

Constellation Research analyst Andy Thurai said:

"As the LLM wars heat up, and the delta of data used to train these models starts to narrow, a lot of LLM providers are trying to offer differentiation in other ways. LLM offerings can add larger context windows, prompt caching, platform capabilities, bias removal of input date, ethical training of models, green/carbon neutral trained models, enterprise capabilities, and massive price reductions in their API-based pricing.

Anthropic is no exception. Some of the additions released this week are in those categories. The context window of 500K while not the largest (that honor currently goes to Gemini 1.5 Pro with a 2 million context window size) is among the largest.  The additional features of GitHub integration, admin controls, enterprise identity settings, single sign-on and other perks matter.

This launch should allow enterprise users to consider using these models to unleash their enterprise data where data privacy and security are major concerns.

Essentially, Anthropic Enterprise is aimed to compete squarely against ChatGPT enterprise launched a year ago."

Related:

Business Research Themes

Data to Decisions, Future of Work

Roles

Chief Information Officer

Tags

#AI #artificialintelligence #machinelearning #ML #generativeAI, Large Language Models (LLMs)