Model ML

Investment banking, private equity, credit, consulting, and asset management teams can use Model ML to research companies, review deal materials, and prepare financial deliverables across multiple information sources. It brings together internal files and business systems with financial data and research sources, so users can ask questions and analyze information without searching each source separately. Model ML can extract information from documents and data rooms, summarize calls and meetings, and use financial data and real-time web research in analysis. Its workflows support tasks such as diligence request analysis, company and industry research, acquisition target screening, earnings reviews, and investment committee memos. Teams can also create presentations, reports, and financial models, with outputs tailored to their templates and figures linked to their sources. The app is available alongside tools such as Excel, PowerPoint, Word, and Outlook, making it a fit for finance professionals who need research and repeatable analysis integrated into their existing work.

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