Datarails just crossed a line that matters, not because of the number itself, but because of what the money is clearly meant to accelerate. The Excel-native finance platform has raised $70 million in Series C funding, bringing total funding to $175 million, and the message is unambiguous: this is no longer an FP&A tool trying to grow up, it’s a full operating system for the CFO’s Office aiming to define the category before anyone else can. The round was led by One Peak, with participation from Vertex Growth, Vintage Investment Partners, Zeev Ventures, Innovation Endeavors, Joey Low, Qumra Capital, and Claltech, coming at a moment when Datarails is posting 70% year-over-year revenue growth and has nearly doubled its workforce to more than 400 employees globally in 2025. That combination of capital, momentum, and hiring speed usually signals a company preparing for scale, not experimentation.
What makes Datarails interesting, and honestly a bit contrarian in the age of shiny dashboards and “Excel is dead” narratives, is that it has built its entire strategy around accepting reality. Finance teams live in Excel, they trust Excel, and they are not going to abandon it because a startup tells them to. Research cited by the company shows 99% of financial professionals spend more than three hours a day in Excel, and nearly 90% of younger finance professionals expect it to remain just as important or more important over the next decade. Datarails doesn’t fight that habit, it embraces it, layering AI, data consolidation, and automation on top of the spreadsheet instead of trying to replace it. The result is a system that keeps the familiarity finance teams need, while removing the manual stitching, version chaos, and siloed data that quietly consume most finance departments’ time.
The new funding will be used to push geographic expansion across North America and EMEA, increase R&D investment, and potentially acquire other players in the sector, which hints at a roll-up strategy built around owning the entire CFO workflow. That ambition is already visible in how the platform has expanded beyond FP&A into a broader FinanceOS that now covers month-end close, cash management, spend control, and planning. More than half of Datarails’ growth in 2025 came from products launched in just the last 12 months, a stat that quietly signals strong product-market fit beyond its original niche. Month-End Close gives CFOs a live view of close status and bottlenecks, while Cash Management connects directly to bank data to forecast liquidity and monitor cash in real time, turning what used to be reactive reporting into something closer to continuous awareness.
The real pivot, though, is AI moving from “feature” to foundation. Datarails is launching new Strategy, Planning, and Reporting AI Finance Agents that let finance teams ask plain-language questions and instantly generate board-ready PowerPoint slides, PDFs, or Excel files from unified ERP, CRM, HRIS, and spreadsheet data. Questions like what’s driving profitability changes, what happens if revenue slows, or why a department overspent are no longer prompts for a week-long analysis marathon, but entry points into an automated reasoning layer built on the company’s own clean data. Because these agents are purpose-built on internal systems rather than generic models, they’re positioned as more private, more secure, and more reliable than the broad AI tools finance teams are understandably wary of trusting.
For investors, the appeal seems obvious. Datarails isn’t selling automation for automation’s sake, it’s selling clarity in a function that runs on trust, timing, and accuracy. One Peak’s David Klein framed it bluntly: finance teams don’t need flashy AI, they need intelligence they can rely on, and Datarails’ Excel-native strategy meets CFOs exactly where they already work. That’s a subtle but powerful insight, and it explains why the company is evolving from a strong FP&A player into something closer to the decision engine of the modern finance organization. If this funding round does what it’s clearly intended to do, the CFO’s Office may finally stop being a collection of disconnected tools and start acting like a single, AI-driven system, which, for most finance teams, would feel less like innovation and more like relief.
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