Rexfin vs Cube: Reconciled Financial Modeling for AI vs Spreadsheet-Native FP&A

Cube and Rexfin both sit between your source systems and the people asking financial questions. They solve different halves of the problem, and picking the wrong one wastes a quarter.

Cube is an FP&A platform for finance teams who live in Excel and Google Sheets. It keeps your spreadsheet models intact, syncs actuals underneath them, and adds version control, consolidation, and AI-assisted collaboration on top. If your planning process already runs in spreadsheets and you want it faster and more governed, Cube is built for exactly that.

Rexfin is narrower on purpose. It’s the reconciled financial-modeling layer that makes AI trustworthy on your numbers. It connects accounting and financial data, builds one model where everything ties out to the source, and lets AI retrieve exact figures and run calculations deterministically instead of guessing. It isn’t trying to replace your FP&A suite. It’s the data and modeling foundation that an AI can actually stand on.

At a glance

	Cube	Rexfin
Core job	FP&A planning across spreadsheets	Reconciled financial model AI can query
Best for	FP&A teams, Excel-power CFOs, multi-entity consolidation	Teams putting AI on financial data and needing exact numbers
AI approach	AI insights and collaboration on top of FP&A	AI retrieves exact figures, calculates deterministically, runs scenarios
Data reconciliation	Syncs and aggregates sources; reconciliation lives in models	Single reconciled model; figures tie to source
Where numbers come from	Spreadsheet models fed by synced actuals	Source-linked model, retrieved verbatim
Board reporting	Exports to deck and slide formats	Source-tied figures, traceable on demand
Setup	3–6 week implementation	Connect sources, build the model
Pricing model	Quote-based, see Cube’s published pricing	Demo-led, scoped to your stack

Where Cube is strong

Cube’s multi-entity and multi-currency consolidation is genuinely good. For companies juggling several entities, currencies, and intercompany lines, it handles the heavy lifting that breaks most spreadsheet-only setups. The currency conversion and consolidation logic are first-class, not bolted on.

The spreadsheet-native design is the real draw. Cube sits as a database layer beneath Excel and Google Sheets, so finance keeps the models it already trusts while Cube syncs actuals, version-controls forecasts, and pulls from NetSuite, Sage Intacct, QuickBooks, Salesforce, and more. Nobody has to abandon a working model to adopt it. Add role-based access, audit logs, and version control, and decentralized teams can update budgets without the usual chaos of emailed workbook copies.

On the AI side, Cube positions itself as a financial intelligence platform for the AI era, with AI-assisted insights and a collaboration suite that aims to keep outputs traceable and auditable. For surfacing variances and speeding up routine analysis, that’s useful.

Where Cube leaves gaps

The AI story is thinner than the marketing suggests. By Cube’s own positioning, AI is mostly for insights and collaboration, not autonomous modeling. Deep AI-driven scenario generation and full agent autonomy aren’t mature yet. If your goal is an AI that answers hard financial questions with figures you can defend, “AI-assisted collaboration” is a different thing.

Then there’s the spreadsheet dependence. Because models live in Excel, reconciliation also lives in Excel. Headcount planning and ARR waterfalls are handled through spreadsheet models rather than native modules, and the research notes connector issues, dimension caps in data mapping, and limits on import scheduling and granular transaction analysis. Each of those is a place where shadow data creeps in and where an AI reading the workbook can pick up a number that no longer ties to the ledger.

Setup is the other cost. Implementation runs three to six weeks, slower than lighter tools, and board decks export rather than render natively. None of this makes Cube bad. It makes it a spreadsheet-centric FP&A platform with AI features on the side, which is a fair description of what it is.

Where Rexfin is different

Rexfin starts from the part Cube treats as a side effect: reconciliation. Instead of syncing actuals into spreadsheet models and trusting the models to stay consistent, Rexfin builds one reconciled financial model where every figure traces back to its source in the ERP, accounting system, or spreadsheet it came from.

That changes what AI can do. When an AI queries Rexfin, it retrieves the exact figure, not an approximation an LLM reconstructed from context. Calculations run deterministically. Scenarios run against the reconciled model, so the answer to “what’s Q3 gross margin under this case” is computed, not generated. Numbers tie out, and you can follow any of them back to where they originated.

The point isn’t more dashboards. It’s a foundation an AI can be trusted on, because the model underneath it is reconciled rather than assembled from synced workbooks.

Which should you pick

Pick Cube if your finance team plans in spreadsheets, you need strong multi-entity consolidation, and you want a governed FP&A platform with AI helping at the edges. That’s its sweet spot, and it’s a real one.

Pick Rexfin if your priority is putting AI on financial data and getting exact, source-tied answers back. If you’ve watched an AI confidently state a wrong number, the problem isn’t the model, it’s the data layer underneath it. That’s the gap Rexfin fills, and it can sit alongside an FP&A tool rather than replace it.

If you’re weighing the two, a short demo will show you fast whether your real need is faster spreadsheet FP&A or a reconciled layer your AI can actually trust.

FAQ

How does Rexfin’s pricing compare to Cube’s? Cube is quote-based, with the final number scoped during a sales call depending on entities, seats, and connectors; see Cube’s published pricing for current starting points. Rexfin is also demo-led and priced to your stack, since cost tracks the number of sources you connect and the model you build rather than a per-seat list. Ask both vendors for a written quote against your actual entity count and source systems; that’s the only number worth comparing.

Can I keep Cube and add Rexfin, or do I have to migrate? You can run both. Rexfin is a reconciled data and modeling layer, not an FP&A suite, so teams often keep Cube for spreadsheet planning and consolidation while pointing AI at Rexfin for source-tied answers. There’s no rip-and-replace migration. You connect the same accounting and ERP sources Cube reads from, and the two coexist.

Is my financial data secure, and where does it live? Both tools connect read-side to systems like NetSuite, Sage Intacct, and QuickBooks, so the same governance questions apply: encryption in transit and at rest, role-based access, and audit logging. The difference is traceability. Because every Rexfin figure links back to its source record, an audit trail is a property of the model itself, not a separate export you have to assemble.

Why would an AI give a wrong number on top of Cube? When models live in spreadsheets, an AI reading the workbook can pick up a figure that has drifted from the ledger, or reconstruct a value from surrounding context instead of retrieving it. Rexfin removes that gap by retrieving the exact figure from a reconciled model and computing scenarios deterministically, so the answer is calculated against tied-out data rather than generated from a guess.