Anthropic adds Allianz to growing list of enterprise wins

Summary

AI research lab Anthropic continues to land sizable enterprise deals. Its latest entails bringing its large language models to a legacy German insurance giant. Anthropic on Friday announced a deal with Munich, Germany-based global insurance conglomerate Allianz to bring “responsible AI” to the insurance industry. The parties declined to share financial terms of the deal. The partnership is made up of three specific initiatives. The first is making Claude Code, Anthropic’s AI-powered coding tool, available to all of Allianz’s employees. Anthropic and Allianz will also build custom AI agents for Allianz employees that can execute multi-step workflows with a human in the loop. This partnership also includes an AI system that logs all AI interactions to keep the AI transparent and ensure that information is readily available for regulatory or other needs. “With this partnership, Allianz is taking a decisive step to address critical AI challenges in insurance,” Oliver Bäte, CEO of Allianz SE, said in the company’s press release. “Anthropic’s focus on safety and transparency complements our strong dedication to customer excellence and stakeholder trust. Together, we are building solutions that prioritize what matters most to our customers while setting new standards for innovation and resilience.” This is just the latest enterprise deal Anthropic has landed in recent months. Techcrunch event San Francisco | October 13-15, 2026 In December, the company inked a $200 million deal to bring its AI models to data cloud company Snowflake and its customers. Shortly after, it announced a multi-year partnership with the consulting firm Accenture. In October, it signed a deal with consulting firm Deloitte to bring its Claude chatbot to the firm’s 500,000 employees. That same month, Anthropic signed a deal with IBM to bring its AI models into the latter’s products. The race for AI enterprise dominance is clearly on, and Anthropic appears to be winning — so far at least. Anthropic hol...