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rewrite this title Anthropic Launches Claude for Financial Services – Finovate

Julie Muhn (@julieschicktanz) by Julie Muhn (@julieschicktanz)
July 16, 2025
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rewrite this title Anthropic Launches Claude for Financial Services – Finovate
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Anthropic launched a Financial Analysis Solution for its LLM Claude.

The Financial Analysis Solution will enable finance professionals to analyze markets, automate workflows, and make investment decisions using integrated data from platforms like Databricks and Snowflake while keeping user data secure and private.

With strategic partnerships spanning data providers and consulting firms, Claude is positioning itself alongside industry-specific LLMs like BloombergGPT to become an indispensable enterprise tool in financial services.

Anthropic announced this week that it is bolstering the resume of its LLM Claude. The California-based AI research company launched a solution for financial analysis that helps finance professionals analyze markets, conduct research, and make investment decisions.

Rather than require users to manually type details in to Claude, the Financial Analysis Solution creates a portal that unifies users’ financial data such as market feeds and internal data stored on third party platforms like Databricks and Snowflake. Analysts can use the new solution to modernize trading systems, develop proprietary models, automate compliance, and run complex analyses. Teams can monitor portfolios and compare performance and do not need to worry about inputting data into the platform, as users’ financial data is kept secure and is not used to train generative AI models.

The move into financial services tools lowers the barrier for mid-sized banks, asset managers, and even fintechs to build sophisticated tools without needing to hire large internal data science teams.

“Our strategic partnership with Anthropic is foundational to our success and our strategy to become a global leader in AI innovation in banking,” said Commonwealth Bank of Australia Chief Technology Officer Rodrigo Castillo. “Claude’s advanced capabilities, combined with Anthropic’s commitment to safety, are central to our purpose of harnessing AI responsibly, as we drive for transformation in critical areas like fraud prevention & customer service enhancement.”

With this launch, Claude is differentiating itself by forming partnerships with data providers that offer users access to the latest financial information via Box, Daloopa, Databricks, FactSet, Morningstar, Palantir, PitchBook, S&P Global, and Snowflake. Additionally, the new tool offers data access and implementation expertise through consultancy partners that provide tailored solutions across compliance, research, and enterprise AI adoption. These partners include Deloitte, KPMG, PwC, Slalom, TribeAI, and Turing.

Claude said that Financial Analysis Solution gives users a leg up on both speed and quality. The partnerships help analysts identify opportunities faster than traditional methods. And, when its client FundamentalLabs deployed it to build an Excel agent, Claude passed five out of seven levels of the Financial Modeling World Cup competition and scored 83% accuracy on complex Excel tasks.

“Claude has fundamentally transformed the way we work at NBIM. With Claude, we estimate that we have achieved ~20% productivity gains, equivalent to 213,000 hours,” said Norwegian sovereign wealth fund (NBIM) CEO Nicolai Tangen. “Our portfolio managers and risk department can now seamlessly query our Snowflake data warehouse and analyze earnings calls with unprecedented efficiency. From automating monitoring of newsflow for 9,000 companies to enabling more efficient voting, Claude has become indispensable.”

Anthropic isn’t the first LLM-owner to create an industry-specific solution. Others have launched AI specialization tools for industry verticals, including OpenAI’s GPTs, Google’s Gemini 1.5 for code and finance, and domain-specific LLMs like BloombergGPT. With its Financial Analysis Solution, Anthropic is making the move to compete more directly with its enterprise use cases.


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