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Datarails, a company that makes financial planning and analysis software, is making a bold bet that the traditional FP&A tools it helped pioneer are now obsolete thanks to AI, and that it needs to disrupt itself before someone else does.<\/p>\n
In response, Datarails is launching FinanceOS, an AI-native platform it describes as a \u201cfinancial operating system\u201d\u2014a platform that allows finance teams use whichever AI tools they want, like Anthropic\u2019s Claude, OpenAI\u2019s ChatGPT and Microsoft Copilot, to perform financial analysis, while maintaining necessary data controls and audit trails.<\/p>\n
\u201cAI can build models and run analysis and create reports much faster and much better than any human,\u201d Didi Gurfinkel, the company\u2019s cofounder and CEO, told Fortune in an interview. \u201cSo all these tools that focused on creating tools for people, for humans\u2014they\u2019re not relevant anymore. The opposite. They limit the AI.\u201d<\/p>\n
It\u2019s a provocative claim from a decade-old company that made its name solving what Gurfinkel calls \u201cExcel hell\u201d\u2014the challenge of managing the sprawl of spreadsheets that finance departments rely on for budgeting, forecasting, and reporting. Datarails built a platform that consolidated data from accounting systems, HR platforms, CRMs, and other operational software into a single source of truth, then connected that data to the Excel models that finance teams already used. Datarails, which is based in Tel Aviv, Israel, has raised $175 million in venture capital funding to date, including a $70 million Series C funding round in January.<\/p>\n
But the arrival of generative AI, Gurfinkel said, has changed what\u2019s possible\u2014and what\u2019s needed. AI models can generate sophisticated financial analyses in seconds, but chief financial officers can\u2019t simply throw their data into ChatGPT or Claude and trust the output.<\/p>\n
\u201cThe one challenge or problem that currently CFOs have with AI is trust,\u201d Gurfinkel said. He breaks this into two dimensions: trusting the data the AI is working with and trusting that the AI\u2019s output is repeatable. The latter is especially challenging since the leading AI models are inherently probabilistic and won\u2019t give the exact same answer to the same prompt every time.\u00a0<\/p>\n
Datarails hopes to address both of these issues with its new FinanceOS product. The system connects data from more than 400 different sources\u2014the \u201csystems of record\u201d that finance teams rely on, such as NetSuite, SAP or Salesforce\u2014and then performs real-time financial consolidation of this data, including complex eliminations, allocations, and foreign exchange adjustments. The platform then lets AI models analyze this data using Model Context Protocol (MCP), the emerging open standard for connecting AI systems to external data sources.<\/p>\n
Then, once a financial model is built with AI, FinanceOS allows a customer to lock that model in place so that the finance model remains consistent, while the underlying data refreshes each period.<\/p>\n
Datarails\u2019 timing may be right. According to a Gartner survey cited by the company, AI adoption in corporate finance functions has essentially flatlined, rising just one percentage point, from 58% in 2024 to 59% in 2025, while 91% of finance teams report low impact from their AI tools. Data quality and availability were cited as the most common obstacles.<\/p>\n
At a time when investors are hyper-focused on how AI challenges the traditional license payment per user business model from software-as-a-service vendors, Datarails is leaning into disruption. It\u2019s shifting to a usage-based pricing model, which Gurfinkel said makes sense as AI agents, not humans, are increasingly using software.<\/p>\n
\u201cTotal spend on software will be higher\u2014it will increase,\u201d he said. \u201cBut probably the number of people will be less. AI can do more. So if you take this equation, you get to one very obvious conclusion: the CFO will pay by the value.\u201d Gurfinkel said that usage-based pricing is a proxy for the value a company derives from using a product.<\/p>\n
Datarails is positioning itself not just as a product company, but also as a partner helping CFOs navigate the AI transition. Alongside FinanceOS, the company plans to offer professional services, training, and custom agent development\u2014an acknowledgment that, as Gurfinkel puts it, \u201cthe office of the CFO is the last to adapt new technology.\u201d <\/p>\n
This hands-on approach echoes the strategy being pursued by other companies selling AI agent-based products to enterprises, including Salesforce, Anthropic, and OpenAI, which have recruited teams of \u201cforward-deployed engineers\u201d that help customers design agentic workflows and configure AI systems, as opposed to the older model for SaaS companies which was largely about self-service by customers.<\/p>\n
Gurfinkel was blunt about the competitive landscape, arguing that many of the industry\u2019s oldest FP&A software vendors are in trouble. \u201cThey\u2019re already gone. They are slow. They don\u2019t have enough cash or energy to rewrite the technology,\u201d he said. Newer entrants such as Abacum and Runway, which invested heavily in sophisticated web interfaces and algorithmic workflows, face a different challenge: They need to reinvent themselves after underinvesting in the data consolidation layer that Gurfinkel believes is the new strategic high ground.<\/p>\n
The good news for those companies, he said, is that most have recently raised significant capital, giving them time to adapt. \u201cBut it will be interesting to see how they react to this change,\u201d he added.<\/p>\n
He draws a parallel between what he predicts will happen to financial professionals and what is already happening in software engineering, where AI coding assistants have transformed how developers work. \u201cYou don\u2019t see any programmer that actually types on their keyboard,\u201d he said. \u201cAlmost 100% of their code is written by AI. And I\u2019m confident that it will be exactly the same for finance people.\u201d<\/p>\n
Datarails said FinanceOS is available immediately and can be fully operational within a few business days, the company says. Datarails\u2019 existing FP&A, cash management, month-end close, and spend control products remain available as managed solutions built on the same underlying platform.<\/p>\n
#Datarails #aims #disrupt #launching #FinanceOS #product<\/p>\n","protected":false},"excerpt":{"rendered":"
Datarails, a company that makes financial planning and analysis software, is making a bold bet…<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[245],"tags":[2038,2030,2031,2032,2037,2039,2041,2033,2034,2040,2042,2035,2036],"_links":{"self":[{"href":"https:\/\/stock999.top\/index.php?rest_route=\/wp\/v2\/posts\/1099"}],"collection":[{"href":"https:\/\/stock999.top\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/stock999.top\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/stock999.top\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/stock999.top\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1099"}],"version-history":[{"count":0,"href":"https:\/\/stock999.top\/index.php?rest_route=\/wp\/v2\/posts\/1099\/revisions"}],"wp:attachment":[{"href":"https:\/\/stock999.top\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1099"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/stock999.top\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1099"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/stock999.top\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1099"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}