Datarails Review 2026: FinanceOS Plans, AI Agents and Alternatives

Datarails is an FP&A and finance operations platform that connects Excel to live data from more than 600 sources, so a finance team can plan, report, close the month and forecast cash without rebuilding its spreadsheets. Sold as FinanceOS, it comes in three quote-only plans that differ mainly by users, integrations and modules. This spotlight covers what each plan includes, how to scope one, where Datarails fits against Fathom, Syft and Float, and where it falls short. Plan details were read on the Datarails pricing page on 28 October 2026.

TL;DR:

• Datarails keeps finance teams in Excel and puts a governed data layer behind it, with version control, audit trails and permissions.
• Three plans, all priced by quote: Professional (2 users, 1 integration), Premium (5 users, 2 integrations, adds Spend) and Expert (15 users plus 50 viewers, 3 integrations, adds Cash, Month-End Close, Receivables and Desk).
• Every plan includes unlimited dashboards, reporting and planning, Datarails AI Agents and the FinanceOS AI Connector.
• Datarails says more than 2,000 companies use it, and it raised a $70 million Series C in January 2026, taking total funding to $175 million.
• It scores 4.5 out of 5 in our directory, level with Fathom and just behind Float (4.6).
• Best for: Excel-first finance teams of roughly two to fifteen people, and firms that provide outsourced FP&A, pulling data from several systems.

Table of Contents

• What is Datarails?
• What each Datarails plan includes
• How to scope a Datarails quote
• Three worked examples
• What the AI actually does
• What accountants and outsourced FP&A firms need to know
• Where Datarails falls short
• Datarails vs Fathom, Syft, Float and LiveFlow
• How to try Datarails
• Our verdict
• Frequently asked questions
• Sources

What is Datarails?

Most finance teams in growing companies run on Excel. The models work, the board pack is built in them, and nobody wants to throw them away. The problem is getting data into them: exporting from the ledger, the payroll system and the CRM every month, pasting, checking, and fixing the formulas that broke.

Datarails takes the opposite approach to most FP&A software. Instead of replacing the spreadsheet, it connects the spreadsheet to a central, governed database. Data flows in from the ledger and other systems, is mapped once, and is then available inside Excel and in web dashboards. Datarails describes FinanceOS as "the governed, Excel-connected operating layer for finance", with version control, audit trails, permission settings and centralised business logic.

Around that core, FinanceOS now covers the wider finance function: reporting, planning, analysis, cash forecasting, spend control, month-end close and a finance ticket desk. Datarails says finance teams at more than 2,000 companies use it.

The company is well funded. In January 2026 it announced a $70 million Series C led by One Peak, bringing total funding to $175 million, and said it would expand in North America and EMEA.

What each Datarails plan includes

Datarails does not publish prices. Every plan is quoted, and the pricing page promises "complete cost transparency, with no consultant fees, ever". What it does publish is exactly what each plan contains, which is enough to work out which one a team needs.

All three plans share the same core: the data mapper, lookups, workflows, file boxes, filters, version control, permissions, allocations, custom reports, multiple charts of accounts, currency translation, intercompany eliminations and joint venture investment accounting. The plans differ in how many people and systems they connect, and which modules come with them.

The modules can also be added to any plan, according to the pricing page, so a Professional customer that only needs cash forecasting does not have to move to Expert to get it.

How to scope a Datarails quote

Because there is no price list, the work is in arriving at the demo with a clear brief. Three numbers drive the plan.

1. Integrations. Count every system that should feed Datarails automatically. A ledger is one. A second ledger for another entity, a payroll system, a CRM or a bank feed each count again. This is the limit most teams hit first.

2. Users. Count the people who build and edit reports and plans. On Expert, people who only need to view dashboards can be viewers, and the plan includes 50 of them.

3. Modules. Decide whether you need close management, cash forecasting, spend control or receivables now, or only reporting and planning.

A simple rule follows. If the team is one or two people reporting from a single ledger, Professional fits. If you have up to five editors or two source systems, or need spend control, look at Premium. If you have three source systems, a wider audience for dashboards, or want close and cash in the same place, Expert is the plan to price.

Three worked examples

These examples show how the published limits translate into a plan. They do not include prices, because Datarails quotes each customer individually.

Example 1: a single-entity company on Xero. A finance manager and an analyst report monthly from Xero and maintain the budget in Excel. That is 2 users and 1 integration, so Professional covers it, with unlimited dashboards and the AI Agents included.

Example 2: a two-entity group with a CRM. A UK parent and a US subsidiary run separate ledgers, and sales data comes from Salesforce. That is 3 integrations. With four people editing, users fit Premium, but the third integration takes the group to Expert, or to Premium with an extra integration if Datarails will quote one. Ask for both options side by side.

Example 3: an outsourced FP&A provider. A practice with six analysts wants to run close checklists and 13-week cash forecasts for its own clients. Six editors exceeds Premium's five users, and close and cash management are Expert modules, so Expert is the starting point. With 50 viewers included, client stakeholders can see dashboards without taking up a paid seat.

What the AI actually does

Datarails includes two kinds of AI on every plan.

Datarails AI Agents. Datarails says its agents produce board-ready outputs, including PowerPoint slides, PDFs and Excel files, from the connected data. The value here depends on the data underneath: the agents work from the same governed, mapped figures as the reports, rather than from a loose export.

FinanceOS AI Connector. This lets a team use outside AI assistants against Datarails data while keeping permissions and an audit trail. For a finance team that already uses a general AI assistant, this is the more interesting feature. It means the assistant answers from the governed numbers, and someone can see what it accessed.

Premium and Expert add AI Storyboards for narrative reporting. As with any AI layer, the output is only as reliable as the mapping and data behind it, so judge it on your own figures in a demo, not on the sample company.

What accountants and outsourced FP&A firms need to know

It works with the ledgers UK firms use. Datarails lists more than 600 data sources, including Xero, QuickBooks, Sage, Oracle NetSuite, Microsoft Dynamics 365 and Salesforce. A practice with clients on different ledgers can bring them into one Excel-based reporting model.

The setup is the project. The first weeks go on mapping charts of accounts and agreeing the reporting structure. That is the work that makes the reports and the AI reliable, so ask who does it, how long it takes, and whether it is included. Datarails says it charges no consultant fees.

Consolidation is built in. Multiple charts of accounts, currency translation and intercompany eliminations come on every plan, which matters for groups that currently consolidate by hand in a spreadsheet.

Security. Datarails says it holds SOC 2 Type II and ISO 27001 certification and is GDPR compliant. As with any system holding client financials, ask for the current reports before signing.

Where Datarails falls short

No published prices. You cannot compare cost without a sales conversation, and every extra integration or user changes the quote.

Tight plan limits. One integration on Professional and three on Expert is not many for a group with several ledgers and source systems. Most of the scoping work is working out whether extra integrations are needed and what they cost.

No free trial on the pricing page. The route in is a demo or quote request, not a self-serve trial.

More than a small practice needs. If the goal is client-ready management reports from Xero or QuickBooks, a reporting tool such as Fathom or Syft does that with less setup and published sterling pricing.

Mapping matters. Poor mappings make the reports and the AI answers worse, not better. Budget time for the setup.

Datarails vs Fathom, Syft, Float and LiveFlow

These tools are often compared, but they do different jobs.

A simple way to choose: if the team plans and forecasts in Excel and needs governed data from several systems, Datarails is the strongest fit in our directory. If the job is a monthly report pack for clients, Fathom or Syft is quicker and cheaper. If the main need is cash forecasting on Xero, Float is the specialist. See every tool in our reporting and dashboards category, or compare them in our comparison tool.

How to try Datarails

The route in is a demo, booked through the Datarails site. To get the most from it:

1. Bring your own chart of accounts and ask to see it mapped.
2. Ask for a consolidation across two entities, in different currencies if you have them.
3. List every source system and ask how many integrations your setup counts as.
4. Ask the AI Agents a question you already know the answer to, using your data.
5. Get the price of each plan and any extra integrations in writing.

Book a Datarails demo ↗

The AI Ledger earns a commission if you sign up through the links on this page. It never changes an editor score.

Our verdict

Datarails is the strongest choice in our directory for Excel-first finance teams that want governed data, automated consolidation and useful AI without abandoning their spreadsheets. FinanceOS now reaches into close, cash and spend, so a growing team can run more of its finance function in one place. It scores 4.5 out of 5. The reasons it is not higher are practical: prices are by quote, plan limits on integrations need careful scoping, and it is more than a small practice producing monthly reports needs.

If that describes your team, book the demo with your own data and your list of systems in hand.

See Datarails in a demo ↗

For close tools that work alongside or instead of it, read our guide to month-end close software, or browse the month-end close category.

Frequently asked questions

How much does Datarails cost?

Datarails does not publish prices. All three plans, Professional, Premium and Expert, are priced by quote, based mainly on users, integrations and modules. The pricing page says there are no consultant fees.

What is the difference between Datarails Professional, Premium and Expert?

Professional includes 2 users and 1 integration. Premium includes 5 users and 2 integrations and adds Spend and AI Storyboards. Expert includes 15 users plus 50 viewers and 3 integrations, and adds Cash Management, Month-End Close, Receivables and Desk.

Does Datarails work with Xero and QuickBooks?

Yes. Datarails lists more than 600 data sources, including Xero, QuickBooks, Sage, Oracle NetSuite, Microsoft Dynamics 365 and Salesforce.

Do you have to stop using Excel with Datarails?

No. Datarails is built around Excel. Existing models keep working, and Datarails supplies the data, version control and permissions behind them, with web dashboards on top.

Is Datarails secure?

Datarails says it holds SOC 2 Type II and ISO 27001 certification and is GDPR compliant. Ask for the current reports during procurement.

Is Datarails a good fit for a small accounting practice?

For outsourced FP&A work, yes. For monthly management reports from Xero or QuickBooks, a reporting tool such as Fathom or Syft is usually simpler and cheaper.

Sources

• Datarails pricing, read 28 October 2026
• Datarails FinanceOS homepage
• Datarails compliance and legal documents
• FinTech Global: AI finance platform Datarails raises $70m Series C
• Fintech Futures: Datarails lands $70m Series C raise
• The AI Ledger: Datarails listing and review