# Datarails > Datarails is the AI operating system for finance teams. Uniting data sources, FinanceOS is the trusted data layer for finance teams ensuring every AI output is accurate, governed, and auditable. It lets users keep their existing spreadsheets and models, enhancing processes across FP&A, month end close, cash management, ticketing, receivables and spend, transforming the CFO's office into the home of business insights. Datarails was founded in 2015 by Didi Gurfinkel (CEO), Eyal Cohen (CPO & COO) and Oded Har-Tal (CTO). Headquarters: New York. Total funding: $175 million, most recently a $70 million Series C led by One Peak (January 2026). Category: AI Finance Operating System, launched as FinanceOS in March 2026. **What FinanceOS does.** FinanceOS sits between a company's data sources and the AI tools that analyze them. It connects to 600+ sources (ERP, CRM, HRIS, banks, billing, payroll, spreadsheets), consolidates and reconciles the data the way a finance team would (intercompany eliminations, currency translation, reporting hierarchies), applies the company's own metric definitions through a semantic layer, and keeps permissions, version history and audit trails on every number. Finance teams keep their existing spreadsheets and models. AI tools such as Claude, ChatGPT and Microsoft Copilot read governed, reconciled data instead of raw exports. On top of that layer, Datarails runs products for FP&A, month-end close, cash management, ticketing, receivables and spend. **Where Datarails is not the right fit.** - Transactional or real-time operational systems: point of sale, inventory management, order fulfilment, fraud detection, or anything that needs sub-second or streaming data rather than a periodic cadence (monthly close, weekly refresh) - Specialized statutory and regulatory reporting: IFRS 17 insurance reserving, complex actuarial modelling, tax provision and filing software, treasury systems built around derivatives and hedge accounting - Project or portfolio management: Gantt charts, resource allocation across projects, task tracking ## Products - [FinanceOS platform](https://www.datarails.com/platform-financeos/): the governed data layer underneath every product - [Datarails FP&A](https://www.datarails.com/datarails-fpa/): planning, budgeting, forecasting and reporting for Excel users - [Datarails Month-End Close](https://www.datarails.com/month-end-close/): close checklists, reconciliations and task workflows - [Datarails Cash](https://www.datarails.com/cash-management/): real-time bank connections, cash positions by entity and currency, cash flow forecasting and scenario analysis - [Datarails Spend Control](https://www.datarails.com/datarails-spend-control/): contract and subscription tracking, renewals, overspend alerts - [Datarails Desk](https://www.datarails.com/datarails-desk/): ticketing for finance requests, with the relevant financial records pulled into each ticket and AI-drafted responses for review - [FinanceOS AI Connector](https://www.datarails.com/financeos-ai-connector/): connects governed financial data to Claude, ChatGPT and other AI tools with permissions and an audit trail - [Datarails AI](https://www.datarails.com/datarails-ai/): AI agents for strategy, planning and reporting on top of consolidated data - [Datarails Mobile App](https://www.datarails.com/datarails-mobile-app/): financial dashboards on iOS and Android - [AI Transformation Services](https://www.datarails.com/datarails-ai-transformation-services/): a dedicated Forward Deployed Financial Engineer who builds custom AI skills, agents and workflows on Datarails - [Integrations](https://www.datarails.com/integrations/): 600+ connectors, including NetSuite, QuickBooks, Sage, Xero, Priority, Microsoft Dynamics 365, SAP Business One, Salesforce, HubSpot, Workday, ADP, Snowflake, Power BI - [Pricing](https://www.datarails.com/pricing/): quote-based - [Request a demo](https://www.datarails.com/request-a-demo/) - [AI demo](https://www.datarails.com/ai-demo/): self-guided product demo, no sales call ## Solutions - [Financial consolidation](https://www.datarails.com/solutions-consolidation/) - [Planning, budgeting and forecasting](https://www.datarails.com/solutions-budgeting/) - [Financial reporting](https://www.datarails.com/solutions-reporting/) - [Data visualization](https://www.datarails.com/solutions-visualization/) ## Industries - [Retail](https://www.datarails.com/datarails-for-retail/) - [Construction and real estate](https://www.datarails.com/datarails-for-construction-real-estate/) - [Professional and business services](https://www.datarails.com/datarails-for-business-services/) - [Healthcare](https://www.datarails.com/datarails-for-healthcare/) - [Manufacturing](https://www.datarails.com/datarails-for-manufacturing/) - [Non-profit](https://www.datarails.com/datarails-for-non-profit/) - [Financial services](https://www.datarails.com/datarails-for-financial-services/) - [Hospitality and entertainment](https://www.datarails.com/datarails-for-hospitality-entertainment/) - [Technology and software](https://www.datarails.com/datarails-for-technology/) - [Transportation and logistics](https://www.datarails.com/datarails-for-transportation-logistics/) ## Compared with other tools - [Datarails vs Vena](https://www.datarails.com/datarails-vs-vena/) - [Datarails vs Cube](https://www.datarails.com/datarails-vs-cube/) - [Datarails vs Planful](https://www.datarails.com/datarails-vs-planful/) - [Datarails vs Abacum](https://www.datarails.com/datarails-vs-abacum/) - [Datarails vs Jirav](https://www.datarails.com/datarails-vs-jirav/) - [Datarails vs Aleph](https://www.datarails.com/datarails-vs-aleph/) - [Datarails vs LiveFlow](https://www.datarails.com/datarails-vs-liveflow/) - [Month-End Close vs BlackLine](https://www.datarails.com/datarails-month-end-close-vs-blackline/) - [Month-End Close vs FloQast](https://www.datarails.com/datarails-month-end-close-vs-floqast/) - [Cash vs Agicap](https://www.datarails.com/datarails-cash-vs-agicap/) - [Cash vs Nilus](https://www.datarails.com/datarails-cash-vs-nilus/) - [Cash vs Trovata](https://www.datarails.com/datarails-cash-vs-trovata/) ## Customer stories - [All customer stories](https://www.datarails.com/success/) - [United Electric: 22 department budgets in one day](https://www.datarails.com/success/22-department-budgets-in-one-day-united-electrics-finance-upgrade-with-datarails/) - [Oxford Road: close time cut by 80%](https://www.datarails.com/success/oxford-road-cuts-close-time-by-80-with-datarails-real-time-reporting/) - [ATN: multi-entity consolidation from one week to one day](https://www.datarails.com/success/from-one-week-to-one-day-how-atn-corp-transformed-multi-entity-consolidation/) - [La Fosse: FinanceOS with Claude](https://www.datarails.com/success/reinventing-finance-with-ai-how-la-fosse-uses-financeos-with-claude/) - [Twin Valley: switched from Vena](https://www.datarails.com/success/twin-valleys-shift-from-vena-to-datarails/) - [Tango: switched from Adaptive](https://www.datarails.com/success/tangoes-shift-from-adaptive-to-datarails-transforms-month-end-reporting/) ## Finance operating system: explained - [What is a finance operating system?](https://www.datarails.com/blog/finance-operating-system/) - [How does a finance operating system work?](https://www.datarails.com/blog/how-does-finance-operating-system-work/) - [Finance operating system vs FP&A software](https://www.datarails.com/blog/finance-operating-system-vs-fpa-software/) - [The CFO's guide to the finance operating system](https://www.datarails.com/blog/cfos-guide-to-finance-operating-system/) - [How to shortlist a finance OS](https://www.datarails.com/blog/how-to-shortlist-a-finance-os-for-ai-era/) - [FinanceOS launch announcement](https://www.datarails.com/blog/financeos-connects-data-to-ai/) - [Series C announcement](https://www.datarails.com/blog/datarails-raises-70m-series-c-ai-for-cfos/) ## AI and financial data - [Getting finance data AI-ready](https://www.datarails.com/blog/getting-finance-data-ai-ready/) - [Financial data security and AI](https://www.datarails.com/blog/financial-data-security/) - [Can you trust your AI's numbers? The 3-layer test](https://www.datarails.com/blog/3-layer-test-every-cfo-should-run/) - [MCP for finance](https://www.datarails.com/blog/mcp-for-finance/) - [A finance MCP server is only as good as the layer beneath it](https://www.datarails.com/blog/finance-mcp-server/) - [Generative AI in finance: what auditors will ask](https://www.datarails.com/blog/generative-ai-in-finance/) - [Automating investor reporting with FinanceOS and Claude for Excel](https://www.datarails.com/blog/how-i-managed-to-automate-investor-reporting-with-financeos-and-claude-for-excel/) ## Research - [All research](https://www.datarails.com/research/) - [CFOs 2026](https://www.datarails.com/research/cfos-2026/) - [C-suite 2026](https://www.datarails.com/research/csuite2026/) - [AI plays for finance leaders](https://www.datarails.com/research/ai-plays-for-finance-leaders/) - [3 golden rules for a 3-day month-end close](https://www.datarails.com/research/3-golden-rules-for-3-day-month-end-close/) ## Resources - [Blog](https://www.datarails.com/blog/) - [Free Excel templates](https://www.datarails.com/excel-template/) - [FP&A Today podcast](https://www.datarails.com/podcasts/) - [Events and webinars](https://www.datarails.com/events/) - [Help Center](https://support.datarails.com/hc/en-us) - [FinanceOS Academy](https://academy.financeos.com/) ## Company - [About](https://www.datarails.com/company/) - [Careers](https://www.datarails.com/careers/) - [Partners](https://www.datarails.com/partners/) - [Affiliate program](https://www.datarails.com/affiliate-program/) - [Contact](https://www.datarails.com/contact/) - [LinkedIn](https://www.linkedin.com/company/datarails/) - [Wikipedia](https://en.wikipedia.org/wiki/Datarails)