Datarails raises $70M to bring AI into Excel-based finance
Updated: 06:00 EST / January 21, 2026
Datarails has closed a $70 million Series C, bringing total funding to more than $175 million. The round was led by One Peak with participation from Vertex Growth, Vintage Investment Partners, Zeev Ventures, Innovation Endeavors, ClalTech and Qumra Capital.
The company builds FinanceOS, an operating system and multiproduct platform for CFOs and finance teams. The core idea is simple: finance spends hours a day inside Excel because key workflows like FP&A, month-end close and spend control are siloed. That grind limits the time available for analysis and decision-making.
FinanceOS keeps Excel at the center while breaking the silos. Teams continue working in their spreadsheets, but models and files no longer live in fragments. The platform connects to ERP, CRM and HR systems to create a single source of truth and consolidates data across the function.
Co-founder and CEO Didi Gurfinkel said AI is meant to level the playing field for finance teams. His view: make AI the foundation of the CFO's office so every critical workflow benefits from shared data and fast, explainable insights.
What FinanceOS brings to your team
- Excel-first experience with centralized data, versioning and linked models.
- Connections to ERP, CRM and HR systems to unify actuals, plans and operational drivers.
- Coverage across FP&A, month-end close and spend control to reduce manual consolidation.
- New AI agents for strategy, planning and reporting. Ask questions like "What's driving profitability changes this year?" and get answers with auto-generated PowerPoint, PDF or Excel outputs-or a clear narrative.
The company reports more than 70% revenue growth in the last year and a team that doubled to over 400 employees globally in 2025. The new capital will accelerate expansion across North America, Europe, the Middle East and Africa, boost R&D and support selective acquisitions.
David Klein, co-founder and managing director at One Peak, said Datarails has found the approach finance teams want from AI. Meeting CFOs in Excel while building a multiproduct platform resonates with how finance actually operates.
Why this matters for CFOs and FP&A leaders
Excel isn't going away, and that's fine-so long as it's connected. Centralizing models and actuals reduces spreadsheet sprawl, cuts data prep time and makes reviews faster. It also gives teams a consistent base for forecasts, budget cycles and variance analysis.
- Start by mapping your core Excel models to system-of-record connectors and establish clear change control.
- Pilot AI agents on a narrow use case (monthly performance review or opex planning) and set guardrails for data access and approvals.
- Upskill the team on prompt-writing and AI-driven analysis. See a curated set of AI tools for finance to pressure-test workflows.
- Track impact: hours saved on consolidation, forecast variance improvements and cycle-time reductions in close and planning.
For teams standardized on Excel, this approach reduces friction. You keep familiar models and formulas, while giving analysts a faster path from data to insight.
Learn more about Excel's capabilities here: Microsoft Excel.
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