Anthropic, one of the world\u2019s best-funded generative AI startups with $7.6 billion in the bank, is launching a new paid plan aimed at enterprises, including those in highly regulated industries like healthcare, finance and legal, as well as a new iOS app.<\/p>\n
Team, the enterprise plan, gives customers higher-priority access to Anthropic\u2019s Claude 3<\/a> family of generative AI models plus additional admin and user management controls.<\/p>\n \u201cAnthropic<\/span> introduced the Team plan now in response to growing demand from enterprise customers who want to deploy Claude\u2019s advanced AI capabilities across their organizations,\u201d Scott White, product lead at Anthropic, told TechCrunch. \u201cThe Team plan is designed for businesses of all sizes and industries that want to give their employees access to Claude\u2019s language understanding and generation capabilities in a controlled and trusted environment.\u201d<\/span><\/p>\n The Team plan \u2014 which joins Anthropic\u2019s individual premium plan, Pro<\/a> \u2014 delivers \u201cgreater usage per user\u201d compared to Pro, enabling users to \u201csignificantly increase\u201d the number of chats that they can have with Claude. (We\u2019ve asked Anthropic for figures.) Team customers get a 200,000-token<\/a> (~150,000-word) context window as well as all the advantages of Pro, like early access to new features.<\/p>\n Image Credits:<\/strong> Anthropic<\/p>\n<\/div>\n Context window, or context, refers to input data (e.g. text) that a model considers before generating output (e.g. more text). Models with small context windows tend to forget the content of even very recent conversations, while models with larger contexts avoid this pitfall \u2014 and, as an added benefit, better grasp the flow of data they take in.<\/p>\n Team also brings with it new toggles to control billing and user management. And in the coming weeks, it\u2019ll gain collaboration features including citations to verify AI-generated claims (models including Anthropic\u2019s tend to hallucinate<\/a>), integrations with data repos like codebases and customer relationship management platforms (e.g. Salesforce) and \u2014 perhaps most intriguing to this writer \u2014 a canvas to work with team members on AI-generated docs and projects, Anthropic says.<\/p>\n In the nearer term, Team customers will be able to leverage tool use capabilities<\/a> for Claude 3, which recently entered open beta. This allows users to equip Claude 3 with custom tools to perform a wider range of tasks, like getting a firm\u2019s current stock price or the local weather report, similar to OpenAI\u2019s GPTs<\/a>.<\/p>\n \u201cBy enabling businesses to deeply integrate Claude into their collaborative workflows, the Team plan positions Anthropic to capture significant enterprise market share as more companies move from AI experimentation to full-scale deployment in pursuit of transformative business outcomes,\u201d White said. \u201cIn 2023, customers rapidly experimented with AI, and now in 2024, the focus has shifted to identifying and scaling applications that deliver concrete business value.\u201d<\/p>\n Anthropic talks a big game, but it still might take a substantial effort on its part to get businesses on board.<\/p>\n According to a recent Gartner survey, 49% of companies said that it\u2019s difficult to estimate and demonstrate the value of AI projects, making them a tough sell internally. A separate poll from McKinsey found that 66% of executives believe that generative AI is years away<\/a> from generating substantive business results.<\/p>\n Image Credits:<\/strong> Anthropic<\/p>\n<\/div>\n Yet corporate spending on generative AI is forecasted to be enormous. IDC expects that it\u2019ll reach $15.1 billion in 2027<\/a>, growing nearly eightfold from its total in 2023.<\/p>\n That\u2019s probably generative AI vendors, most notably OpenAI, are ramping up their enterprise-focused efforts.<\/p>\n OpenAI\u00a0recently said that it had more than 600,000 users signed up for the enterprise tier of its generative AI platform ChatGPT, ChatGPT Enterprise<\/a>. And it\u2019s introduced a slew of tools aimed at satisfying corporate compliance and governance requirements, like a new user interface to compare model performance and quality.<\/p>\n Anthropic is competitively pricing its Team plan: $30 per user per month billed monthly, with a minimum of five seats. OpenAI doesn\u2019t publish the price of ChatGPT Enterprise, but users on Reddit<\/a> report being quoted anywhere from $30 per user per month for 120 users to $60 per user per month for 250 users.\u00a0<\/span><\/p>\n \u201cAnthropic\u2019s Team plan is competitive and affordable considering the value it offers organizations,\u201d White said. \u201cThe per-user model is straightforward, allowing businesses to start small and expand gradually. This structure supports Anthropic\u2019s growth and stability while enabling enterprises to strategically leverage AI.\u201d<\/p>\n It undoubtedly helps that Anthropic\u2019s launching Team from a position of strength.<\/p>\n Amazon in March completed its $4 billion investment<\/a> in Anthropic (following<\/a> a $2 billion Google investment), and the company is reportedly<\/a> on track to generate more than $850 million in annualized revenue by the end of 2024 \u2014 a 70% increase from an earlier projection. Anthropic may see Team as its logical next path to expansion. But at least right now it seems Anthropic can afford to let Team grow organically as it attempts to convince holdout businesses its generative AI is better than the rest.<\/p>\n![\"Anthropic](\"https:\/\/techcrunch.com\/wp-content\/uploads\/2024\/04\/Claude-Team-Plan-2.png\")
<\/p>\nAn Anthropic iOS app<\/h2>\n
![\"Anthropic](\"https:\/\/techcrunch.com\/wp-content\/uploads\/2024\/04\/Claude-iOS-App-2.png\")
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