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Datarails is a Tel Aviv and New York-based software company that provides an AI-native financial planning and analysis platform designed to automate budgeting, reporting, and forecasting within Microsoft Excel. Operating on a software-as-a-service subscription model, the enterprise platform consolidates financial and operational data specifically for finance teams and chief financial officers at small to mid-sized businesses. The organization has successfully scaled its global workforce to over 400 employees following a recent period of 70 percent year-over-year revenue growth across its expanding customer base. Datarails has secured $175 million in total venture funding, reaching an estimated valuation between $550 million and $700 million after a Series C round backed by institutional investors including One Peak, Vertex Growth, and Zeev Ventures. The financial technology company was founded in 2015 by Didi Gurfinkel, Eyal Cohen, and Oded Har-Tal.
Datarails has raised $173.0M across 6 funding rounds.
Datarails has raised $173.0M in total across 6 funding rounds.
Datarails is a financial planning and analysis (FP&A) platform designed for Excel users, automating data consolidation, reporting, budgeting, and planning while allowing teams to retain their familiar Excel workflows.[1][2][4][5] It serves finance professionals across industries like construction, technology, logistics, manufacturing, healthcare, and retail, solving the problem of manual data entry and fragmented reporting by integrating with 200+ accounting, ERP, CRM, HRIS, and bank systems for real-time insights and AI-powered analysis.[3][4] The platform's growth momentum is strong, evidenced by its ranking as the 92nd fastest-growing company in North America on the 2024 Deloitte Technology Fast 500, driven by features like dynamic forecasting, scenario modeling, and cash management that enable strategic decision-making over routine tasks.[6]
Datarails emerged from the real-world pain points of finance professionals, founded by an executive team with decades of corporate experience who understood the limitations of traditional Excel-based processes in a data-driven era.[2] The idea crystallized around empowering FP&A teams with automation and analytics without forcing them to abandon Excel, their tool of choice, transforming the CFO's office into a hub for business insights.[2][4] Early traction came from addressing inefficiencies in data syncing and reporting, leading to rapid adoption; for instance, clients like Tangoe reduced finance processes from three weeks to three days, highlighting pivotal moments in proving the platform's value for complex, multi-entity operations.[8]
Datarails rides the wave of AI-driven FP&A transformation, capitalizing on the shift from static spreadsheets to real-time, predictive analytics amid rising data complexity in multi-system enterprises.[2][4] Timing is ideal as finance teams demand Excel compatibility to avoid retraining, while market forces like ERP proliferation and economic volatility favor tools with scenario planning and external data integration.[1][3] It influences the ecosystem by accelerating finance's role in business strategy—e.g., enabling tech firms like Tangoe to manage billions in expenses efficiently—democratizing advanced analytics for non-technical users and bridging the gap between finance and operations.[6][8]
Datarails is poised to expand its AI capabilities, like Genius, into more predictive and generative tools, targeting deeper ERP/CRM integrations and industry-specific modules amid growing demand for autonomous FP&A.[4][7] Trends such as real-time cash forecasting and multi-entity consolidation will shape its path, potentially elevating it further on growth lists as enterprises prioritize efficiency in uncertain economies.[6] Its influence may evolve by setting standards for Excel-hybrid platforms, empowering CFOs as strategic leaders and solidifying its niche in a crowded FP&A market—transforming routine finance into a competitive edge, much like its origins promised.[2]
Datarails has raised $173.0M in total across 6 funding rounds.
Datarails's investors include David Klein, Joey Low, Claltech, Innovation Endeavors, Qumra Capital, Vertex Growth, Vintage Investment Partners, Zeev Ventures, Sivan Shamri Dahan, Angel Invest, DST Global, Hanaco Ventures.
Datarails has raised $173.0M across 6 funding rounds. Most recently, it raised $70.0M Series C in January 2026.