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73 Strings Unveils Extraction Agent to Streamline Financial Reporting With Agentic AI

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73 Strings Unveils Extraction Agent to Streamline Financial Reporting With Agentic AI

73 Strings, the AI-powered valuation and portfolio intelligence platform for alternative asset managers, announced the launch of Extraction Agent, a new agentic AI solution that automates financial data extraction and mapping through a multi-agent AI workflow that learns from previous user corrections to reduce repetitive manual work and accelerate recurring portfolio reporting.

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For alternative asset managers overseeing portfolios of companies with varying reporting formats, financial data collection remains a significant operational burden. Investment teams must navigate inconsistent financial statements, spreadsheets and quarterly reports to identify, extract and reconcile critical performance metrics. These challenges compound across reporting cycles, as teams repeatedly address the same formatting inconsistencies and data mapping issues.

Built into 73 Extract, Extraction Agent uses a coordinated multi-agent AI workflow comprised of specialized agents, orchestrated through an intelligent agent orchestrator. Working together, the concierge agent, intake agent, extraction agent, mapping agent and validation capabilities manage the end-to-end process, from document intake and recognition through financial data extraction, mapping, validation and review.

Combining a deterministic extraction core with an agentic AI layer, Extraction Agent brings together the reliability and consistency of deterministic processing with the adaptability of agentic AI. This best-of-both-worlds approach enables complex financial documents to be transformed into structured, review-ready data without requiring rigid templates, while maintaining control, accuracy and source-level traceability.

“In private markets, the value of any valuation or performance metric depends entirely on trust in the underlying data,” said Yann Magnan, CEO and Co-Founder of 73 Strings.


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