Anthropic unveils Claude’s new finance-focused platform

Anthropic, the AI research company behind the Claude language model family, has launched a new AI-powered platform designed specifically for financial services.

The new offering, called the Financial Analysis Solution, is tailored to enhance how financial professionals analyse markets, conduct due diligence, and generate investment insights.

The release responds to growing demand from financial institutions for unified, reliable platforms that streamline access to real-time market data, internal analytics and external datasets. With data volumes and complexity on the rise, traditional tools have struggled to keep up, prompting firms to seek advanced AI-based systems that improve productivity without compromising data integrity.

Anthropic, known for its work in AI safety and model performance, has been steadily expanding Claude’s capabilities across enterprise use cases. With Claude for Enterprise and Claude Code, the company has already gained traction among developers and analysts seeking to automate complex workflows and modernise legacy systems.

The newly launched Financial Analysis Solution centralises access to internal and third-party data sources—including Snowflake, Databricks, and FactSet—within a single interface. Users can verify every data point via hyperlinks to source documents, improving transparency and reducing error risk. The platform is also capable of executing complex analyses, such as Monte Carlo simulations, in significantly less time.

The solution integrates with widely used platforms including Palantir, PitchBook, Morningstar, S&P Global and Box. These integrations support a range of use cases, from document management and market intelligence to financial modelling and compliance.

Anthropic has partnered with leading consultancies including Deloitte, KPMG, PwC, Slalom and TribeAI to accelerate adoption. These firms will help financial institutions implement Claude for workflows such as equity research, underwriting, compliance automation and digital transformation.

The tool is already delivering tangible results. Bridgewater’s AIA Labs reported significant workflow efficiencies, while Norway’s NBIM saw a 20% productivity gain. Claude has also helped AIG reduce underwriting review times by over fivefold and improve data accuracy to more than 90%.

Claude is available immediately via AWS Marketplace, with Google Cloud integration coming soon. Organisations can deploy the out-of-the-box platform or build tailored applications via API, depending on use case needs.

Anthropic CTO Aaron Linsky said, “We’ve been developing capabilities powered by Claude since 2023 within AIA Labs. Claude powered the first versions of our Investment Analyst Assistant, which streamlined our analysts’ workflow by generating Python code, creating data visualisations, and iterating through complex financial analysis tasks with the precision of a junior analyst.”

NBIM CEO Nicolai Tangen said, “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. Our portfolio managers and risk department can now seamlessly query our Snowflake data warehouse and analyse earnings calls with unprecedented efficiency.”

Commonwealth Bank of Australia chief technology officer Rodrigo Castillo said, “Our strategic partnership with Anthropic is foundational to our success and our strategy to become a global leader in AI innovation in banking. 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.”

AIG CEO Peter Zaffino said, “Our partnership with Anthropic will fundamentally transform how we approach underwriting at scale. With the incorporation of Claude’s advanced capabilities into our underwriting process, we have been able to compress the timeline to review business by more than 5x in our early rollouts while simultaneously improving our data accuracy from 75% to over 90%.”

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