Datarails has raised $70 million in fresh capital to push artificial intelligence deeper into the CFO’s workflow without forcing teams off Excel. The Series C, led by growth investor One Peak, values the New York- and Tel Aviv-based company at about $550 million and follows a year of 70% revenue growth and a near-doubling of headcount to more than 400. The pitch is blunt: keep finance teams in the spreadsheet they already use all day, wire in company-wide data, and let AI do the heavy lifting across planning, reporting, cash, and close.
The finance stack remains stubbornly anchored to Excel. Research cited by the company shows 99% of finance professionals spend more than three hours a day in spreadsheets, and nearly nine in 10 younger professionals expect Excel to be as important or more important over the next decade. That reliance is both a feature and a tax. Core workflows such as FP&A, month-end close, spend control, and cash forecasting often sit in silos, with teams reconciling data and formatting reports instead of analyzing the business. Datarails’ answer is an Excel-native operating system it calls FinanceOS that unifies financial and operational data into a single source of truth and lets AI generate forecasts, variance analysis, and board-ready materials on demand. It is a modernization bet that aligns with how finance actually works today.
One Peak led the round alongside existing backers Vertex Growth, Vintage Investment Partners, Zeev Ventures, Innovation Endeavors, Qumra Capital, Claltech, and entrepreneur Joey Low. The infusion will fund geographic expansion across North America and EMEA, heavier R&D, and potential acquisitions. For One Peak, which manages about $4 billion and has backed names like Neo4j and PandaDoc, the thesis is that enterprise AI has crossed from hype to utility. As co-founder David Klein put it in announcing the deal, the edge is not flashy features but reliable intelligence built on clean, consolidated data. In other words, make the data trustworthy and the AI becomes truly useful.
The operating metrics suggest the model is working. Datarails posted 70% year-over-year revenue growth in 2025, and more than half of that came from products launched in the past 12 months. The company says it sells primarily to firms with up to 1,000 employees, a midmarket segment that long defaulted to Excel and point solutions. CEO and co-founder Didi Gurfinkel describes a market that woke up in the past three years as AI moved from demos to real workflows. Dormant spreadsheet-heavy processes became ripe for overhaul once CFOs saw credible, finance-specific AI.
Datarails is positioning itself as the control plane for the CFO’s office rather than a replacement for Excel or the ERP. FinanceOS spans FP&A, month-end close, spend control, and cash management. Two newer modules, Month-End Close and Cash Management, highlight the company’s move beyond planning into the operating heartbeat of finance. Close management visualizes tasks, owner accountability, and bottlenecks across entities and periods. Cash connects directly to bank data in real time to monitor balances, forecast liquidity, and track covenants. The throughline is an Excel-first interface backed by a consolidated data layer.
The new AI Finance Agents take that stack and turn it into task-level automation. Finance teams can ask, what is driving the change in gross margin this quarter, or why did marketing overspend last month, and receive narrative explanations with charts and links to the underlying transactions. Predictive prompts model next quarter’s revenue under different assumptions. Outputs come as slide decks, spreadsheets, or PDFs that can slot straight into steering committee and board packs. By building the agents on a company’s own ERP, CRM, HRIS, and spreadsheet data, Datarails is arguing for better privacy and accuracy than generic chatbots, with a shorter path from insight to action.
Any vendor touching Excel must factor Microsoft. The software giant is pushing Copilot across Microsoft 365, including Excel, to generate formulas, cleanse data, and build charts from natural language. In that context, Datarails is a complement with a dependency. It wraps Excel in a governed data model and workflow engine, then layers purpose-built finance agents on top. That is different from horizontal assistants. Still, the platform risk is real. If Microsoft pushes deeper into finance-specific analysis inside Excel or Power BI, Datarails will need to stay ahead with domain depth and integrations that reduce total cost of ownership. The defense is that enterprise finance is a systems problem as much as a user-interface problem. Companies run Workday or Oracle for HR and ERP, NetSuite or SAP for finance, Salesforce for revenue, and a sprawl of banks and procurement tools. Orchestrating that into one reliable picture remains the hard part.
The competitive set spans Workday Adaptive Planning, Oracle and NetSuite planning tools, SAP analytics, Anaplan in connected planning, and nimble startups like Planful and Cube. Many ask finance teams to adopt new modeling interfaces and workflows. Datarails is betting that not forcing a rip-and-replace will accelerate adoption and expand seat counts across controllers, FP&A, and business finance. If the company proves it can standardize the data while preserving Excel flexibility, it can coexist with Copilot and Power BI while soaking up planning, close, and cash workflows the big suites do not serve well in the midmarket.
The growth plan is straightforward: deepen penetration in North America and Europe, attach more modules per account, and use M&A to fill product gaps or add distribution. Targets could include niche close-management tools, bank connectivity middleware, or vertical-specific templates that accelerate time to value. The company’s customer profile, up to 1,000 employees, is a fragmented universe that typically buys on speed-to-implement, security posture, and measurable time savings. That aligns with an AI-first attach motion, where a finance leader can pilot a planning or variance agent in weeks, then layer in close and cash once the data foundation is set.
Acquisition talk in this corner of fintech has picked up as interest rates reprice valuations and as private equity reshapes the landscape. Anaplan went private. Planning vendors are pushing into adjacent categories to defend deal sizes. For a focused platform like Datarails, bolt-ons that bring bank rails, procurement insights, or embedded payments could expand the cash module into a daily command center for CFOs and treasurers. The key is to avoid buying overlapping products that complicate the very simplification pitch the company is selling.
The Series C gives Datarails more runway to standardize its data model across a long tail of midmarket ERPs and HR systems. It also allows heavier investment in security, a non-negotiable when the product touches payroll, general ledger, and bank connections. Expect the company to emphasize SOC 2, ISO, and role-based access upgrades alongside AI features. On the go-to-market side, watch for channel partnerships with accounting firms and ERP resellers that already sit inside the target accounts.
The CFO buyer is rational and budget conscious, especially after two years of cost discipline across SaaS. Winning here is about proof of time saved in close cycles, forecast accuracy gains, faster board reporting, and fewer manual reconciliations. Net revenue retention, user expansion outside core FP&A, and attach rates for Cash Management and Close will be the tell on whether FinanceOS is a platform or a point solution with AI shine.
Three signals will determine if Datarails can turn momentum into category leadership. First, the pace of integrations and data quality, because AI is only as good as the underlying model and governance. Second, whether Microsoft’s AI roadmap for Excel narrows or widens the lane for Excel-native specialists; moves by MSFT will ripple through this market. Third, M&A execution. Smart deals can accelerate differentiation, while sloppy ones can bloat the product and slow delivery. If the company hits those marks, a durable midmarket franchise is plausible, with enough leverage to test upmarket against Workday and Oracle in targeted divisions.
For now, the funding, the valuation, and the growth print signal that AI in finance is moving from prototypes to production. Excel is still the operating system of choice for finance teams. Datarails wants to be the AI that makes that choice strategic rather than a liability.
