Anthropic and Databricks Forge $100M Partnership to Bring Claude AI to Enterprise

Anthropic is expanding Claude AI to the enterprise with domain-specific AI agents

A new partnership with Databricks is bringing Claude's AI models to help more than 10,000 companies create their own specialized AI agents. Large organizations wanting to integrate generative AI into their business can find the process daunting, especially if they're unsure how or where to start. A new initiative with Anthropic's Claude AI aims to provide the tools for enterprises struggling with this challenge. In a new five-year partnership announced Thursday, Anthropic and AI company Databricks will offer Claude AI models through the Databricks Data Intelligence Platform, which helps businesses use AI with their internal data. The deal will bring the tools and technology to more than 10,000 companies. Also: Navigating AI-powered cyber threats: 4 expert security tips for businesses Anthropic's latest Claude 3.7 Sonnet model is already accessible through Databricks on AWS, Azure, and Google Cloud. This model uses advanced reasoning and greater processor time to evaluate your request step-by-step and then produce a detailed result. However, 3.7 Sonnet is also a hybrid model, which means it can generate almost instant responses to your requests or use extended thinking for longer, more detailed solutions. The key to the deal between Anthropic and Databricks is the union between AI and data. Many organizations who want to use AI need it to work with their own internal data. Toward that end, the two companies will provide the necessary tools to help enterprise customers build AI agents to tap into their corporate data. When used effectively, agentic AI can run specific tasks autonomously and independently. But with generative AI still in the nascent stage and still prone to errors, creating and fine-tuning the agents to work correctly and reliably can be tricky. "As demand for data intelligence grows, our partnership with Anthropic allows enterprises to unlock the full potential of their data through AI," said Ali Ghodsi, co-founder and CEO of Databricks. "We are bringing the power of Anthropic models directly to the Data Intelligence Platform -- securely, efficiently, and at scale -- enabling businesses to build domain-specific AI agents tailored to their unique needs." The team-up between Claude AI and the Databricks Data Intelligence Platform promises a few benefits to customers. Also: AI agents aren't just assistants: How they're changing the future of work today Customers and interested parties can learn more about domain-specific agents and how to use them via an upcoming webinar with Ghodsi and Anthropic co-founder and CEO Dario Amodei.

Databricks and Anthropic Partner to Bring AI Models to Businesses

The partnership will allow businesses to use Anthropic's latest AI model, Claude 3.7 Sonnet, directly within Databricks' platform on cloud services like AWS, Azure, and Google Cloud. Databricks, a leading data and AI company, signed a five-year partnership with AI research firm Anthropic on Thursday to integrate Claude models into its data intelligence platform. This collaboration aims to help over 10,000 businesses build and deploy AI agents using their own data. The partnership will allow businesses to use Anthropic's latest AI model, Claude 3.7 Sonnet, directly within Databricks' platform on cloud services like AWS, Azure, and Google Cloud, and help companies create AI tools that understand and process their enterprise data more effectively. "As demand for data intelligence grows, our partnership with Anthropic allows enterprises to unlock the full potential of their data through AI," said Ali Ghodsi, co-founder and CEO of Databricks. "We are bringing the power of Anthropic models directly to the Data Intelligence Platform -- securely, efficiently, and at scale." The new integration will enable companies to use Claude models with Databricks' AI tools, making it easier to analyse large datasets, automate complex processes, and improve decision-making. "At Anthropic, we're watching AI transform businesses right now -- not as some future promise," said Dario Amodei, CEO and co-founder of Anthropic. "With Claude now available on Databricks, customers can build even more powerful data-driven agents to stay ahead in this new era of AI." The collaboration also focuses on responsible AI development. Businesses will have access to governance tools to manage AI use, enforce security controls, and monitor potential risks. Databricks' Unity Catalogue will help ensure data privacy and responsible AI practices.Jackie Brosamer, VP of Data and AI platform engineering at Block, highlighted the benefits of this integration, saying, "Through our strategic partnership with Databricks, we're able to leverage the newest and most advanced models, including Anthropic's Claude, to power our internal AI agent."

Databricks partners with Anthropic and touts breakthrough in reinforcement learning - SiliconANGLE

Databricks partners with Anthropic and touts breakthrough in reinforcement learning Databricks Inc. and Anthropic PBC said today that they have entered a five-year partnership to make Anthropic's Claude large language models and services available on the Databricks Data Intelligence Platform. The arrangement gives Databricks' customers direct access to Claude 3.7 Sonnet, a new hybrid reasoning model, from within the Databricks ecosystem on the Amazon Web Services Inc., Microsoft Corp. Azure and Google LLC clouds. Claude 3.7 Sonnet is notable for its ability to "think" about questions for as long as the users ask it to, a tactic that often results in a better answer. Claude 3.7 Sonnet can also return different responses to the same question depending on how much time is allowed for thought. The companies said the collaboration is intended to help enterprises more securely build, deploy and govern artificial intelligence agents -- systems that can perform tasks autonomously with little or no human supervision -- that draw on proprietary data. The move comes amid increasing demand for AI tools that can handle enterprise-scale data governance, privacy and compliance. Partnerships between large data platforms and AI research firms are becoming more common as organizations seek ways to integrate advanced language models into their workflows without compromising data controls. Databricks rival Snowflake Inc. recently announced partnerships with Anthropic and Microsoft to make Claude 3.5 sonnet and the Azure OpenAI Service available from its cloud data platform. Anthropic's Claude models, known for their focus on AI safety, will operate with Databricks Mosaic AI. That will enable customers to create customized models for use in vertical industries such as healthcare, energy management and financial services. Databricks Mosaic AI is used to build domain-specific AI agents based on an organization's unique data that deliver reliable and fully governed results. Gartner Inc. predicts more than half of the generative AI models enterprises use will be specific to either an industry or business function by 2027, up from about 1% in 2023. Anthropic models will be integrated with Databricks' Unity Catalog to provide data lineage tracking, access controls and monitoring features aligned with enterprise standards. The company said Claude can also support advanced reasoning applications with complex multistep workflows, such as streamlining patient onboarding process for clinical trials or dynamically adjusting loads on electrical grid based on fluctuations in supply and demand. Separately, Databricks said it has found a new fine-tuning method that leverages Test-time Adaptive Optimization, a type of reinforcement learning that make it easier to build agents for a specific task and domain. This method removes dependence on expensive labeled data to enable model fine-tuning faster and cheaper. Traditional LLM training often relies on large, carefully prepared datasets, which can be costly and time-consuming to produce. Instead of collecting large sets of human-labeled examples, TAO taps into patterns within the model itself and the data it sees during testing. This approach leverages a model's existing knowledge to refine it further, making training more efficient. It also helps handle tasks that do not have well-defined or abundant labeled data, a bonus for scenarios in which labels are limited or expensive to obtain. By focusing on the interactions and signals available at test time -- such as how the model responds to new prompts -- TAO can adjust the model's parameters to improve accuracy without standard human-labeled training sets. Databricks said even without labeled data, TAO can achieve better model quality than traditional fine-tuning, bringing inexpensive open-source models such as Llama to parity with costly proprietary models like OpenAI LLC's GPT-4o and o3-mini. Other benefits include reduced reliance on massive curated datasets and the ability to continually learn in changing environments.

Databricks and Anthropic ink deal to enhance business profits with AI

The partners claim that their combined offerings will increase returns on investments for their large clientele. US software giant Databricks and artificial intelligence (AI) start-up Anthropic have announced a five-year partnership combining Anthropic's Claude AI models with Databricks' data intelligence platform. Through the partnership, valued at $100m according to news outlets, Claude will be combined with Databricks' Mosaic AI, a tool which can create domain-specific AI models. According to the two, their combined offering will allow more than 10,000 businesses - including Block, Comcast, Condé Nast, Rivian and Shell - to build AI models that can reason on their own data. This is set to increase enterprise returns on investments by providing AI agents with increased accuracy, security and access control. Both the companies will be selling each others' products as part of this deal. Moreover, businesses can customise Claude with retrieval augmented generation, an approach to training AI that can reduce hallucinations, they said. The partnership comes after it was reported that Databricks closed a $10bn funding round earlier this year to increase its investments in AI products, acquisitions and expansion. "As demand for data intelligence grows, our partnership with Anthropic allows enterprises to unlock the full potential of their data through AI," said Ali Ghodsi, the co-founder and CEO of Databricks. "We are bringing the power of Anthropic models directly to the Data Intelligence Platform - securely, efficiently, and at scale - enabling businesses to build domain-specific AI agents tailored to their unique needs. This is the future of enterprise AI." While Dario Amodei, the CEO and co-founder at Anthropic said that AI is transforming businesses in the present and "not as some future promise". "This year, we'll see remarkable advances in AI agents capable of working independently on complex tasks and with Claude now available on Databricks, customers can build even more powerful data-driven agents to stay ahead in this new era of AI." Don't miss out on the knowledge you need to succeed. Sign up for the Daily Brief, Silicon Republic's digest of need-to-know sci-tech news.

Anthropic Inks Deal to Bring Its AI Model to Databricks Platform | PYMNTS.com

Artificial intelligence (AI) company Anthropic has launched a five-year partnership with data/artificial intelligence (AI) firm Databricks. The collaboration, announced Wednesday (March 26), will bring Anthropic's AI models and services to the Databricks Data Intelligence Platform, offering Anthropic's Claude model to more than 1,000 companies. According to a news release from Databricks, this will allow customers to build and deploy AI agents that reason over their own data with Anthropic's latest frontier model, Claude 3.7 Sonnet. "Enterprises want to increase returns on their AI investments," the release said. "Yet, many struggle to build, deploy and evaluate AI agents that can reason over their enterprise data and meet production-level requirements for accuracy, security and access control." The companies say they help solve this challenge by combining Databricks Mosaic AI -- which can build "domain-specific AI agents on organizations' unique data" -- with Claude models, which can "optimize for real-world tasks that customers find most useful." The partnership comes a little more than a week after comments from an Anthropic executive that the startup was focusing its attention on enterprise customers. Speaking to the Financial Times, Mike Krieger, Anthropic's chief product officer, said the company was concentrating on how its technology could "help with knowledge work" for "people who spend all day in meetings or in Excel or Google Docs. It feels like we should be able to make that easier." Meanwhile, PYMNTS explored the concept of agentic AI in a recent interview with George Westerman, senior lecturer at the MIT Sloan School of Management. He said that while there's no agreed-upon definition for agentic AI, it is at its simplest software code that will process information and make a decision or carry out an action. "The concept is not new," he added, noting that many of Microsoft Windows' processes routinely launch and relaunch. And Wall Street has used automated trading for decades. But while the actions on rules-based bots are pre-determined, AI agents built on top of generative AI models can dynamically deliver responses, understand, adapt and learn while having autonomy and decision-making abilities to complete assigned tasks. "It can do things that traditional computing could not do: It can hold a conversation with a client. It can process unstructured data and documents," Westerman said. However, "we still want to use the same processes to evaluate how to do it."

Databricks and Anthropic Sign Landmark Deal to Bring Claude Models to the Data Intelligence Platform

Multi-year partnership will help 10,000+ customers securely build and deploy AI agents with Claude over their enterprise data Databricks, the Data and AI company, and Anthropic, an AI safety and research company, today announced a strategic, five-year partnership to offer Anthropic models and services natively through the Databricks Data Intelligence Platform. Combined with Databricks Mosaic AI, the landmark deal brings Anthropic's world-class Claude models directly to over 10,000 companies, alongside their business-critical, proprietary data. As a result, customers can build and deploy AI agents that reason over their own data. Anthropic's newest frontier model, Claude 3.7 Sonnet -- the first hybrid reasoning model on the market and the industry leader for coding -- is now available via Databricks on AWS, Azure and Google Cloud Platform. Enterprises want to increase returns on their AI investments. Yet, many struggle to build, deploy and evaluate AI agents that can reason over their enterprise data and meet production-level requirements for accuracy, security and access control. Databricks and Anthropic are helping to solve this challenge. Databricks Mosaic AI provides the tools to build domain-specific AI agents on organizations' unique data that deliver accurate results with end-to-end governance across the entire data and AI lifecycle, while Anthropic's Claude models optimize for real-world tasks that customers find most useful. Together, Databricks and Anthropic provide best-in-class solutions for the development, evaluation, deployment and governance of agentic applications. "As demand for data intelligence grows, our partnership with Anthropic allows enterprises to unlock the full potential of their data through AI," said Ali Ghodsi, Co-founder and CEO of Databricks. "We are bringing the power of Anthropic models directly to the Data Intelligence Platform -- securely, efficiently, and at scale -- enabling businesses to build domain-specific AI agents tailored to their unique needs. This is the future of enterprise AI." "At Anthropic, we're watching AI transform businesses right now - not as some future promise," said Dario Amodei, CEO and Co-founder at Anthropic. "This year, we'll see remarkable advances in AI agents capable of working independently on complex tasks, and with Claude now available on Databricks, customers can build even more powerful data-driven agents to stay ahead in this new era of AI." The Databricks Data Intelligence Platform democratizes access to data and AI, making it easier for organizations to harness the power of their data for analytics, machine learning, and AI applications. The platform is built on a foundation of unified data and governance that helps customers more easily develop agents with domain knowledge drawn from the entirety of their enterprise. Customers use the Data Intelligence Platform to find and treat diseases and cancer earlier, identify new ways to combat climate change, detect financial fraud, develop pharmaceuticals faster, reduce time to mental health intervention, decrease local financial inequality and much more. Key Partnership Benefits Build domain-specific agents on enterprise data: Anthropic Claude provides advanced reasoning, planning and problem-solving capabilities, helping customers build and deploy domain-specific AI agents that can handle large, diverse data sets with a large context window to drive better customization. Databricks and Claude can also support advanced reasoning use cases with complex multi-step workflows. For example, agents in the healthcare field could streamline the patient onboarding process for clinical trials. In retail, agents could analyze sales data alongside seasonal patterns and inventory levels to recommend localized operational adjustments that optimize staffing, promotions and store layouts to maximize revenue. Integrated natively with the Data Intelligence Platform: Available via SQL query and model endpoint, Claude models seamlessly integrate into the Databricks Data Intelligence Platform, meaning organizations do not need to replicate data manually, reducing costs and creating a more seamless experience. Additionally, enterprises can easily customize Claude models with retrieval augmented generation (RAG) by automatically generating vector indexes or fine-tuning models with enterprise data. Unified governance and responsible AI development: The partnership combines Anthropic's industry-leading safety research and constitutional AI approach with Databricks' Unity Catalog, the only unified and open governance solution for data and AI. Customers gain unparalleled end-to-end governance across their data and AI assets, and can automatically enforce proper access controls, set rate limits to manage costs and track lineage throughout the entire AI workflow. Enterprises can also implement safety guardrails, monitor for potential misuse and ensure their AI systems operate within defined ethical boundaries -- all while maintaining the performance advantages of frontier models. "At Block, we emphasize practical, responsible and secure applications of AI," said Jackie Brosamer, VP of Data and AI Platform Engineering at Block. "Through our strategic partnership with Databricks, we're able to leverage the newest and most advanced models, including Anthropic's Claude, both to support the development and serve as the underlying engine powering our internal deployment of codename goose, our open-source AI agent. This federated approach to deploying models allows us to scale AI capabilities flexibly and seamlessly while maintaining security and user control, ultimately fostering greater efficiency and innovation across our teams." To learn more about how Databricks and Anthropic are helping enterprise organizations securely build and deploy AI agents over their enterprise data, sign up for the upcoming webinar with Databricks Co-founder and CEO Ali Ghodsi and Anthropic Co-founder and CEO Dario Amodei. About Databricks Databricks is the Data and AI company. More than 10,000 organizations worldwide -- including Block, Comcast, Condé Nast, Rivian, Shell and over 60% of the Fortune 500 -- rely on the Databricks Data Intelligence Platform to take control of their data and put it to work with AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on X, LinkedIn and Facebook.

Databricks and Anthropic Sign Landmark Deal to Bring Claude Models to the Data Intelligence Platform

Databricks and Anthropic Join Hands to Open A New Era of AI Advancement , the Data and AI company, and , an AI safety and research company, today announced a strategic, five-year partnership to offer Anthropic models and services natively through the Databricks Data Intelligence Platform. Combined with Databricks Mosaic AI, the landmark deal brings Anthropic's world-class Claude models directly to over 10,000 companies, alongside their business-critical, proprietary data. As a result, customers can build and deploy AI agents that reason over their own data. Anthropic's newest frontier model, Claude 3.7 Sonnet -- the first hybrid reasoning model on the market and the industry leader for coding -- is now available via Databricks on AWS, Azure and Google Cloud Platform.