
Datarails
Datarails is a technology company.
Financial History
Datarails has raised $103.0M across 5 funding rounds.
Frequently Asked Questions
How much funding has Datarails raised?
Datarails has raised $103.0M in total across 5 funding rounds.

Datarails is a technology company.
Datarails has raised $103.0M across 5 funding rounds.
Datarails has raised $103.0M in total across 5 funding rounds.
Datarails has raised $103.0M in total across 5 funding rounds.
Datarails's investors include Angel Invest, DST Global, Hanaco Ventures, Horizon Capital, Innovation Endeavors, Kima Ventures, Lakestar, Matias Ventures, mExpand Family Office, NFX, Oak HC/FT, State of Mind Ventures.
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 $103.0M across 5 funding rounds. Most recently, it raised $50.0M Series B in March 2022.