Finance runs on numbers spread across the ledger, the bank, and a stack of spreadsheets. NodePlus reads across all of them on one screen, on local models, so nothing leaves the building.
A faster close, real-time cash and receivables, and a coding engine that builds the reports and rules you ask for. No per-token bills, no financials sent to a cloud model.
Finance teams do not lack data. They lack a single place to ask it a question, so the close drags and cash visibility always runs a step behind.
NodePlus reads your accounting, banking, and billing systems in place and reasons over them with local models, then builds the rules and reports you need.
Local models on hardware you control. Ledgers and bank data are never sent to a third-party AI provider, and there are no per-token bills.
See position, runway, and receivables as they move, not only after the books close.
NodePlus surfaces the unmatched transactions and reconciliations that do not tie, so you chase the exceptions that matter.
Aging invoices, credit risk, and out-of-policy spend surface early, while you can still act on them.
Describe the report or rule and the coding engine writes it against your stack, no ticket to IT.
The same surface reaches sales, operations, and HR, so finance sees the operation the numbers describe.
The reports and reconciliations are written by the same coding engine that scores 66.6% on SWE-bench Pro and 93.8% on LongMemEval, all on local models with no tokens purchased.
Your accounting, banking, and billing systems: the ledger, bank feeds, invoices, and bills you already run. NodePlus answers across all of them from one surface, so a cash or margin question does not mean exporting to a spreadsheet.
No. NodePlus runs on 100% local models on hardware you control. Ledgers, bank data, and statements are read in place and never sent to a third-party AI provider for inference.
NodePlus surfaces the exceptions that slow a close: unmatched transactions, aging invoices, out-of-policy spend, and reconciliations that do not tie. You chase the handful that matter instead of scanning everything.
A flat recurring subscription. There are no per-token bills, so analyzing a full transaction history costs the same as a single lookup. There is no metered cloud inference to forecast.
Yes. The coding engine writes the connectors, rules, and reports against your stack, the same engine that scores 66.6% on SWE-bench Pro on local models. You describe the report, it builds it.
Book a briefing and we will scope a deployment against your accounting, banking, and billing systems, all on local models.