Datarails, an organization that makes monetary planning and evaluation software program, is making a daring wager that the standard FP&A instruments it helped pioneer at the moment are out of date due to AI, and that it must disrupt itself earlier than another person does.
In response, Datarails is launching FinanceOS, an AI-native platform it describes as a “financial operating system”—a platform that enables finance groups use whichever AI instruments they need, like Anthropic’s Claude, OpenAI’s ChatGPT and Microsoft Copilot, to carry out monetary evaluation, whereas sustaining vital knowledge controls and audit trails.
“AI can build models and run analysis and create reports much faster and much better than any human,” Didi Gurfinkel, the corporate’s cofounder and CEO, instructed Fortune in an interview. “So all these tools that focused on creating tools for people, for humans—they’re not relevant anymore. The opposite. They limit the AI.”
It’s a provocative declare from a decade-old firm that made its title fixing what Gurfinkel calls “Excel hell”—the problem of managing the sprawl of spreadsheets that finance departments depend on for budgeting, forecasting, and reporting. Datarails constructed a platform that consolidated knowledge from accounting programs, HR platforms, CRMs, and different operational software program right into a single supply of fact, then linked that knowledge to the Excel fashions that finance groups already used. Datarails, which is predicated in Tel Aviv, Israel, has raised $175 million in enterprise capital funding so far, together with a $70 million Collection C funding spherical in January.
However the arrival of generative AI, Gurfinkel stated, has modified what’s potential—and what’s wanted. AI fashions can generate refined monetary analyses in seconds, however chief monetary officers can’t merely throw their knowledge into ChatGPT or Claude and belief the output.
“The one challenge or problem that currently CFOs have with AI is trust,” Gurfinkel stated. He breaks this into two dimensions: trusting the information the AI is working with and trusting that the AI’s output is repeatable. The latter is very difficult because the main AI fashions are inherently probabilistic and gained’t give the very same reply to the identical immediate each time.
Datarails hopes to deal with each of those points with its new FinanceOS product. The system connects knowledge from greater than 400 completely different sources—the “systems of record” that finance groups depend on, corresponding to NetSuite, SAP or Salesforce—after which performs real-time monetary consolidation of this knowledge, together with complicated eliminations, allocations, and international trade changes. The platform then lets AI fashions analyze this knowledge utilizing Mannequin Context Protocol (MCP), the rising open commonplace for connecting AI programs to exterior knowledge sources.
Then, as soon as a monetary mannequin is constructed with AI, FinanceOS permits a buyer to lock that mannequin in place in order that the finance mannequin stays constant, whereas the underlying knowledge refreshes every interval.
Datarails’ timing could also be proper. Based on a Gartner survey cited by the corporate, AI adoption in company finance capabilities has basically flatlined, rising only one proportion level, from 58% in 2024 to 59% in 2025, whereas 91% of finance groups report low affect from their AI instruments. Information high quality and availability had been cited as the commonest obstacles.
At a time when buyers are hyper-focused on how AI challenges the standard license fee per person enterprise mannequin from software-as-a-service distributors, Datarails is leaning into disruption. It’s shifting to a usage-based pricing mannequin, which Gurfinkel stated is sensible as AI brokers, not people, are more and more utilizing software program.
“Total spend on software will be higher—it will increase,” he stated. “But 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.” Gurfinkel stated that usage-based pricing is a proxy for the worth an organization derives from utilizing a product.
Datarails is positioning itself not simply as a product firm, but additionally as a associate serving to CFOs navigate the AI transition. Alongside FinanceOS, the corporate plans to supply skilled companies, coaching, and customized agent improvement—an acknowledgment that, as Gurfinkel places it, “the office of the CFO is the last to adapt new technology.”
This hands-on method echoes the technique being pursued by different firms promoting AI agent-based merchandise to enterprises, together with Salesforce, Anthropic, and OpenAI, which have recruited groups of “forward-deployed engineers” that assist prospects design agentic workflows and configure AI programs, versus the older mannequin for SaaS firms which was largely about self-service by prospects.
Gurfinkel was blunt in regards to the aggressive panorama, arguing that lots of the business’s oldest FP&A software program distributors are in bother. “They’re already gone. They are slow. They don’t have enough cash or energy to rewrite the technology,” he stated. Newer entrants corresponding to Abacum and Runway, which invested closely in refined internet interfaces and algorithmic workflows, face a distinct problem: They should reinvent themselves after underinvesting within the knowledge consolidation layer that Gurfinkel believes is the brand new strategic excessive floor.
He attracts a parallel between what he predicts will occur to monetary professionals and what’s already occurring in software program engineering, the place AI coding assistants have remodeled how builders work. “You don’t see any programmer that actually types on their keyboard,” he stated. “Almost 100% of their code is written by AI. And I’m confident that it will be exactly the same for finance people.”
Datarails stated FinanceOS is obtainable instantly and could be absolutely operational inside just a few enterprise days, the corporate says. Datarails’ present FP&A, money administration, month-end shut, and spend management merchandise stay obtainable as managed options constructed on the identical underlying platform.
