Best Financial Modeling Software with a Free Trial

Datarails is an AI-powered financial planning and analysis (FP&A) platform designed for Excel users who want to keep their existing models while automating tedious tasks. With FinanceOS, finance teams can consolidate data from multiple sources, generate automated reports, and streamline month-end close without leaving the familiar Excel environment. The platform integrates with leading accounting software, ERPs, and CRMs to centralize all financial data in one place. Built-in visualization tools make it easy to present KPIs, drill into real-time data, and answer stakeholder questions instantly. Datarails’ FP&A Genius uses conversational AI to deliver quick, accurate insights from fully consolidated data. By reducing manual work, the platform frees finance teams to focus on strategic analysis and business growth.

Visible Alpha creates a unified consumption and collaboration experience across research reports, analyst models and corporate access events and enables clients to discover, track, budget, value and pay for research content. Visible Alpha is transforming the way Wall Street firms collaborate on research, financial models and corporate access events by providing breakthrough tools for discovery, analysis and valuation. Visible Alpha has a growing client base with $17 trillion in AUM, more than 600 research providers contributing content and over 500 employees globally. The company is backed by some of the largest banks in the world, including Banco Santander, Bank of America Merrill Lynch, Citi, Exane BNP Parabas, Goldman Sachs, HSBC, Jefferies, Macquarie Group, Morgan Stanley, Royal Bank of Canada, UBS and Wells Fargo.

The Modelscape solution enables financial institutions to reduce the complexity of managing the lifecycle of financial models while improving model documentation, transparency, and compliance. By implementing the solution throughout the model lifecycle, you can use templated model workflows, automated documentation, and artifact linking. Scale algorithms, models, and apps both horizontally and vertically. Provide support for enterprise infrastructure, tooling, and languages such as Python, R, SAS, and MATLAB. Track issues across the model lifecycle with full model lineage, issue, and usage reporting. Use the executive dashboard for model data, custom algorithm execution, automated workflows, and web-based access to a comprehensive, auditable inventory of all models and dependencies. Develop, back-test, and document models and methodologies. Improve transparency, reproducibility, and reusability of models. Automatically generate model documentation and reports.