# DataRails **Source:** https://geo.sig.ai/brands/datarails **Vertical:** Finance & Accounting Software **Subcategory:** FP&A & Financial Planning Platform **Tier:** Challenger **Website:** datarails.com **Last Updated:** 2026-04-14 ## Summary DataRails raised $100M+ (Salesforce Ventures, Wing VC) to consolidate FP&A data and automate reporting for mid-market finance teams while preserving their existing Excel workflows. ## Company Overview DataRails is a financial planning and analysis platform built to consolidate and automate FP&A workflows without forcing finance teams to abandon Microsoft Excel. Founded in 2015 and headquartered in Tel Aviv, Israel with offices in New York, DataRails has raised more than $100 million from investors including Salesforce Ventures and Wing Venture Capital. The company targets the large population of finance professionals at SMBs and mid-market companies who manage their entire FP&A operation in Excel and need a way to eliminate the data consolidation, version control, and reporting inefficiencies that spreadsheet-based FP&A creates at scale.\n\nDataRails installs as an Excel add-in and connects to source systems including QuickBooks, NetSuite, Xero, Sage, and HR platforms, automatically pulling and consolidating financial data into a centralized repository that remains accessible through Excel. Finance teams continue to use Excel for modeling and analysis while DataRails handles the data pipeline, version control, and multi-entity consolidation that manual spreadsheet management cannot reliably deliver. The platform also provides a native web interface, FP&A Genius (an AI assistant), and pre-built reporting templates that accelerate month-end reporting and board package preparation.\n\nDataRails has built strong traction in the SMB and lower mid-market segment, where it competes with Vena Solutions (also Excel-native), Cube, and Planful. Its focus on the full Excel preservation approach — adding infrastructure beneath Excel rather than replacing it — resonates with finance teams that have deep Excel expertise and limited appetite for adopting new interfaces. The company's FP&A Genius AI feature allows finance teams to query their financial data in natural language, accelerating ad hoc analysis without requiring dashboard setup. ## Frequently Asked Questions ### How does DataRails preserve Excel workflows while adding FP&A capabilities? DataRails installs as an Excel add-in and automatically connects to source systems to pull and consolidate financial data, making it available within Excel models without manual exports — giving finance teams a centralized data layer and version control while keeping Excel as their primary modeling interface. ### What is FP&A Genius in DataRails? FP&A Genius is DataRails' AI assistant that allows finance teams to query their consolidated financial data in natural language, generating instant answers to questions like revenue by segment, variance explanations, or headcount costs without requiring manual report creation or dashboard configuration. ### Which company sizes and industries use DataRails? DataRails primarily serves SMBs and lower mid-market companies with 50 to 500 employees, across industries including professional services, healthcare, technology, and manufacturing, where finance teams are one to five people managing FP&A primarily in Excel and seeking to automate data consolidation and reporting. ### How does DataRails preserve Excel workflows for finance teams? DataRails connects to each Excel spreadsheet used in the planning and reporting process and centralizes the underlying data in a managed database layer. Finance teams continue working in their existing Excel models and reports, but DataRails ensures data consistency across all files and eliminates the manual copy-paste steps that cause version control problems. ### What data sources does DataRails connect for financial consolidation? DataRails integrates with ERP systems including NetSuite, SAP, QuickBooks, Sage, and others to pull actuals into the planning layer automatically. HRIS systems can feed headcount data, and CRM data can inform revenue planning — consolidating inputs that finance teams previously gathered manually from multiple departments. ### Does DataRails include FP&A AI capabilities? Yes. DataRails has incorporated AI features including FP&A-GPT, an AI assistant that allows finance professionals to query their financial data in plain language. Users can ask questions about budget vs. actual variances, trend analysis, and scenario comparisons and receive narrative explanations alongside the underlying data. ### What size companies does DataRails target? DataRails targets mid-market companies with finance teams that are deeply invested in Excel but struggling with data consistency, version control, and manual consolidation at month-end reporting. Typical customers are companies with $10M to $500M in revenue and finance teams of 2-20 people where Excel-based FP&A creates meaningful inefficiencies. ### How does DataRails handle budgeting and forecasting cycles? DataRails manages the budgeting process by distributing structured budget templates to department managers, collecting their inputs, and consolidating them into the finance team's model automatically. Mid-year reforecasting uses the same infrastructure, allowing finance teams to update assumptions and see consolidated impact without manually re-aggregating inputs from across the business. ## Tags fintech, saas, smb, analytics, automation, cloud-native, platform, ai-powered, b2b --- *Data from geo.sig.ai Brand Intelligence Database. Updated 2026-04-14.*