Planning systems sit at the heart of every organisation - holding the authoritative data behind revenue, spend, headcount, and strategy. Simulations and solvers run against ephemeral digital twins of your live model in real time, not on data exports that are already out of date. When agents have direct access to that speed and those tools, they stop summarising and start acting.
Real Monte Carlo requires the actual model - your formulas, your dependencies, your live data. It cannot be done externally on an export. Each simulation run creates an ephemeral digital twin of the entire model in memory, then stress-tests it against thousands of probabilistic inputs. The results reflect what would actually happen in your real business, not a statistical approximation.
See how likely you are to hit revenue targets, understand downside risk before it materialises, and size contingency buffers with real model outputs instead of gut feel. No other planning platform can do this.
Given your business constraints - budget limits, headcount caps, capacity ceilings - the solver finds the mathematically optimal allocation in real time. It operates directly on the engine's native data structures rather than exporting to an external tool, so the answer reflects your actual live model, not an approximation of it.
Stop manually shuffling resources between departments. The solver tells you exactly where to invest for maximum return, subject to limits you define.
Time-series models that learn from your actual transaction and sales data to produce forecasts grounded in observed patterns - not manual assumptions. Forecasts update continuously as new data flows in, against the live model.
Replace the quarterly spreadsheet exercise with continuous forecasts that update as new data flows in. Spot trends earlier, react faster, and plan with data instead of opinion.
The engine works backwards from failure thresholds - minimum cash balance, maximum leverage, revenue floor - to identify exactly which assumptions would push you past critical limits. Instead of asking "what happens if?", ask "what would have to go wrong?" - against the real model, in real time.
Know your breaking points before the board asks. Quantify downside exposure with precision, size contingency buffers based on real model outputs, and communicate risk in terms the audit committee understands.
When the problem space is too complex for traditional solvers - thousands of products, dozens of constraints, competing objectives - evolutionary algorithms find near-optimal solutions that linear methods miss. The engine evaluates millions of candidate allocations against ephemeral digital twins of your live model.
Ideal for supply chain allocation, portfolio construction, and multi-objective resource planning where trade-offs are real and manual iteration is too slow.
Ephemeral digital twins are instantiated directly from the live engine state - not from a data export, not from a snapshot, but from the actual authoritative model in real time. Test restructuring, pricing changes, or market shocks with no risk to real outcomes. The twin is discarded after the simulation; nothing is written back unless you choose to act.
Make high-stakes decisions with confidence. See the financial impact of a new market entry, an acquisition, or a headcount freeze before it reaches the P&L.
Model state transitions natively: customer lifecycle (Trial, Active, At-Risk, Churned, Won-Back), sales pipeline conversion by segment, subscription tier migration with revenue weights, and AR aging with absorbing-state write-off analysis. Hidden Markov Models detect growth, steady-state, and contraction regimes in your revenue data and produce forecasts that reflect which regime you are in today.
Replace static churn and conversion assumptions with transition matrices calibrated from your actual data. Know your steady-state customer mix, your expected time-to-churn, and the probability of a regime shift before it shows up in the P&L.
Continuous monitoring across every line item and dimension. Statistical thresholds flag unexpected variances, sudden trend breaks, and data quality issues the moment they appear - not weeks later when someone notices a number that looks wrong.
Catch data entry errors, integration glitches, and genuine business shifts in real time. Finance teams spend less time hunting for problems and more time understanding what changed and why.
Systematically vary each assumption while holding others constant to measure its impact on any target metric. The engine ranks drivers by influence, identifying which inputs move the needle and which are noise.
Focus planning effort where it matters. Know that a 1% change in customer retention drives more P&L impact than a 5% change in raw material cost - and allocate management attention accordingly.
Nordite agents invoke forecasting, optimisation, and simulation tools directly against ephemeral digital twins of your live authoritative data - not against exports, not against approximations. Real numbers, in real time, with full audit trails and governance built in.