Products & Platforms

Nine pillars. One cube. One AI copilot.

Everything an FP&A team needs in one product, organized around how finance actually works: see what happened, plan what's next, predict the unknowns, and run the machinery cleanly.

Reporting

See what happened — and where it diverges from plan.

Executive Dashboard

Real-time KPIs at a glance.

Revenue, Gross Profit, EBITDA, Net Income, COGS, OPEX. Variance vs Budget on every card. Monthly trend, regional breakdown, P&L waterfall, cost-structure pie. Status badge surfaces above-plan / below-plan instantly.

P&L · Balance Sheet · Cash Flow

Canonical reports with full hierarchy.

Drill from rollups (TOTAL_PL, TOTAL_BS, TOTAL_CF) to leaves. Multi-currency. CSV / Excel / PDF export from any view. Backed by a 9-dimension cube (Entity × Account × Period × Scenario × Version × Currency × Year × Product × Department).

Planning

Build a plan that recomputes itself when assumptions change.

Driver-Based Planning

Connect business drivers to financial outcomes.

Mark any account as a driver (FTE, units, %, hours). Build formulas like SALARIES_ENG = HEADCOUNT_ENG × −10000. Top-down assumptions flow into P&L automatically.

What-If Scenarios

Test decisions before you make them.

Percent / absolute / override adjustments at any account × period. Save scenarios, compare, delete when done. Variance results in <1 second.

Forecasting & AI

The differentiator: plain-English plus 15 algorithms.

AI Chat

Plain-English finance copilot.

35+ tools cover ~99% of manual app actions. Ask: "What's our runway?" "Hire 3 engineers and show the impact." "Update JPY rate to 150." Every write produces a draft card. User clicks Post; backend re-validates; commit happens. Nothing the LLM says auto-mutates the database.

ML Forecasting · 15 algorithms

Side-by-side comparison, one click.

Linear / Poly Regression, ARIMA / SARIMA, Ridge / Lasso, Random Forest, Gradient Boosting, Neural Net, Holt-Winters, Exponential Smoothing, etc. R² / RMSE / MAE / MAPE per run. Compare 2–5 algos side-by-side and lock the winner.

Forecasting · 5 algorithmsRunning
Linear
ARIMA
Holt-Winters
Random Forest
Gradient Boost

Compare side-by-side. Pick the winner. Lock the forecast.

Operations

The boring-but-critical machinery: alerting, connectors, audit, access.

Alerts

Catch what humans miss.

4 rule types — Variance vs Budget, YoY change, Statistical anomaly (z-score), Magnitude. Configurable info / warning / critical thresholds. Findings ranked by financial impact (5% on $10M beats 50% on $1k).

Connectors

Pull data from where it lives.

Inbound + outbound. Real drivers: REST · SFTP · Excel · CSV. Stub-ready: Oracle · SAP · ODBC. Run history, connection testing, scheduled runs.

Audit + RBAC

Enterprise-grade trail.

Every dim/fact/formula/user mutation captured with before/after JSON. Roles: super_admin · admin · planner · viewer. Short-lived JWTs, refresh rotation, account lockout, helmet/CORS hardened.

Ready to see it on your data?