Capacity & staffing
Model throughput, queues, staffing levels, bottlenecks and service targets before changing the real operation.
- Warehouse and fulfillment
- Production capacity
- Workforce planning
Decision intelligence for uncertain systems
Turn uncertainty into auditable decisions.
Gen2 combines deterministic Monte Carlo simulation, risk analysis, sensitivity, robust ranking and optimization in one Python-native engine designed for real operational decisions.
Pilot engagements from $2,500. Your data and business logic remain yours. Gen2 core IP remains ours.
Built for business problems
Sell the decision, not the simulation.
Gen2 is most useful when the question is expensive, uncertain and repeatable.
Risk-adjusted choices
Compare alternatives under uncertainty instead of relying on one forecast or one “most likely” case.
- Capital allocation
- Business cases
- Portfolio and scenario risk
Cost & schedule risk
Quantify probability of overruns, expose the variables that matter most and compare mitigation options.
- Delivery dates
- Budget uncertainty
- Contingency planning
One engine, multiple layers
From raw uncertainty to an explainable choice.
Gen2 is not a single Monte Carlo function. It connects execution, statistics, risk and decision logic through one deterministic SDK.
01
SimulateDeterministic seeded execution, serial or process-parallel.
02
MeasureStreaming statistics, tail risk, convergence and bootstrap uncertainty.
03
UnderstandSobol sensitivity, what-if analysis, backtesting and uncertainty decomposition.
04
DecideRobust ranking, Pareto analysis, value of information and policy planning.
Measured, not hand-waved
Technical proof from the current build.
These are observed local validation results from the current Gen2 branch, not marketing estimates.
Completed with bounded-memory analysis and deterministic output checks.
Current Python test suite passed locally with 90.88% total coverage.
Validated process execution and deterministic results across worker levels.
Workload-aware tuning independently found the measured sweet spot on a 16-thread test machine.
Current validation platform: Windows 11, Python 3.14.7, AMD Ryzen 7 9800X3D. Cross-platform CI for Python 3.11–3.14 remains part of the formal release gate.
Start with a paid pilot
Bring one expensive decision.
We model one real decision using your inputs, define measurable outputs, run uncertainty and sensitivity analysis, and deliver a reproducible decision model plus findings.
Typical starting point
$2,500
Fixed-scope pilot. Larger integrations quoted separately.
Included
- Problem framing and model design
- Gen2 adapter and scenario model
- Risk, sensitivity and decision analysis
- Reproducible results and handoff
- One review session
Not included by default
- Ownership of Gen2 source code or IP
- Unlimited custom development
- Third-party data or software fees
- Enterprise SLA or 24/7 support
- Embedded/OEM redistribution rights
Commercial paths
One engine. Multiple ways to buy.
Prove value fast
One business decision, one bounded scope, measurable output.
From $2,500Internal deployment
Self-hosted usage, integration support and commercial rights for internal use.
Quoted annuallyBuild Gen2 into your product
For software vendors that want Gen2 capabilities inside a customer-facing product.
Custom agreementRequest a pilot
Tell us the decision you need to improve.
Good pilot candidates have uncertain inputs, a measurable outcome and a decision that matters financially or operationally.
Submitting this form is a request for a conversation, not a purchase commitment.