A unified system for planning, forecasting, and decisions.
One continuously computed system for finance — multi-entity, multi-currency, audit-ready.
Finance is about decisions.
Not reports.
Ask. Test. Commit. One continuous loop — every saved figure recorded, every assumption explicit.
Ask in plain English
Live answers on your real model — no stale exports, no ticket queue.
- Type any question — multi-entity aware
- Live answer cites source actuals + forecast
- No exports, no stale snapshots
From modules.
To a system.
Most EPM tools sell you modules. NashOS gives you one system that operates as one.
8 disconnected modules collapse into 5 unified systems.
No more handoffs between tools. One model, one source.
Six systems.
One operating model.
Decision System
Understands the business — P&L, Balance Sheet, Cash Flow as one model with variance, drivers, and drill-down to source of truth.
Continuous Planning
Keeps it current — driver-based planning, scenarios, what-ifs and continuous recomputation across the model.
Agentic Execution
Turns intent into action. Ask in plain English; the system plans and drafts, and you confirm and commit.
Audit & Control
Every figure saved is recorded — attributed to its user, with before/after kept on most committed drafts, and role-based control.
Data Foundation
Holds it together — multi-entity, multi-currency, shared dimensions, consistent computation everywhere.
Integrations
Connects Nash to your data — APIs, SFTP, CSV, Excel, validated on every run with full run history.
Together, these systems operate as one — multi-entity, continuously computed, every saved figure recorded. No handoffs. No sync issues. No rebuilds.
Try with your dataBuilt for the way finance
actually works.
Same system, three lenses — each tuned to what your role needs to ship today.
Board-ready numbers with an audit trail — zero rebuilds.
- ✓Every figure saved is recorded
- ✓Defensible forecasts
- ✓Board-grade governance
Planning as a continuous system — not a monthly cycle.
- ✓Scenarios update instantly
- ✓No model rebuilds
- ✓Driver-based multi-entity rollups
Know your runway instantly — no need to ask finance.
- ✓Real-time clarity
- ✓Decisions in minutes
- ✓Self-serve burn + runway
What NashOS is
Finance software that computes continuously.
One model, one set of dimensions, one computation path.
Traditional EPM splits finance across eight or more modules, each holding its own copy of the truth — so every month starts with reconciliation and every change starts with a rebuild.
Which eight modules, and why the copies drift
NashOS collapses them into five systems on one data foundation. A driver changes once and every dependent figure — forecast, consolidation, variance, runway — recomputes from the same source.
What that removes from the month
Who it is for
CFOs — board-ready numbers, and every figure saved is recorded with who saved it and when.
FP&A teams — driver-based plans across multiple entities and currencies.
Founders — runway and burn on demand, without asking finance.
How a request runs
Ask in plain English. NashOS resolves the intent against your dimensions, computes across every affected entity, and returns a draft.
More detail
What makes it auditable
Most edits committed from a Nash draft card record the before value, the after value, the actor and the timestamp.
More detail
What it connects to
REST API, SFTP, Excel and CSV are self-serve today, and every inbound load is validated before anything is written.
More detail
FAQ
Questions finance teams ask before they buy.
What is agentic FP&A software?▾
Agentic FP&A software lets a finance user state an intent in plain English and have the system carry out the work — resolving the request against your dimensions, running the computation, drafting the change, and committing it only after review. It differs from a chatbot bolted onto a planning tool: the agent has tools that read the model and draft changes to it, and every change committed from its drafts is recorded with who made it and when.
How is NashOS different from Anaplan or Adaptive Planning?▾
Those platforms are module-based: planning, consolidation and reporting are separate builds that hold their own copies of the model, so a structural change means a rebuild and a re-reconciliation. NashOS runs one model with one data foundation, so a driver change recomputes everything downstream. Implementation is measured in days rather than months.
Does NashOS handle multi-entity and multi-currency consolidation?▾
Yes. Entities and currencies are dimensions of the same cube rather than a separate consolidation module. FX translation is applied consistently across reporting, planning and variance, so a consolidated P&L and an entity-level P&L cannot disagree.
How long does implementation take?▾
Pilots run on your own data in days, not months. You connect a data source, map your chart of accounts and dimensions, load a period, and reconcile against your existing reports before anything else is built.
Is my data auditable and is every AI-generated change reviewable?▾
Most edits committed from a Nash draft card store the before value, the after value, the actor and the timestamp, and grid saves and bulk loads are recorded per save, with who, when and how many rows. Agent-drafted changes are staged as drafts — nothing is committed without explicit confirmation — and report lines expand from rollup to leaf, with a dashboard KPI tile drilling through to the fact rows behind it.
Which systems does NashOS connect to?▾
REST API, SFTP, Excel and CSV connectors are self-serve today, with connection testing and run history, and every inbound load is validated before anything is written; REST API and SFTP sources can be pulled on a schedule you set (hourly, daily, weekly or a custom cron). The SAP S/4HANA, NetSuite (SuiteQL), QuickBooks Online and Stripe engines are built and covered by automated tests, and we set those up with you; NetSuite, QuickBooks Online and Stripe are inbound (pull) sources.
What does NashOS cost?▾
The pricing page sets out three tiers — Pilot, Operate and Enterprise — and what each one includes. Figures are quoted per engagement against your entity count and data volume rather than listed as a fixed price. Pilots run on your own data before any commitment.