Uncertainty isn't the enemy, bad assumptions are. Stochastix builds simulation, optimisation and analytics applications that capture the real, messy, probabilistic world, so your teams make decisions they can defend and plans they can actually deliver.
From a single what-if model to enterprise planning systems, we combine operations research and software engineering to build tools your teams actually use.
Discrete-event, agent-based and Monte Carlo models that reproduce variability, queues and rare events, answering "what if?" before you commit capital.
Digital twins & what-if labs →Mathematical programming, metaheuristics and constraint solvers that find the best feasible answer across millions of options, not just a workable one.
LP / MIP & heuristics →Forecasting, statistical modelling and machine learning that turn historical data into reliable signals, demand profiles and risk estimates.
Forecasting & prediction →Interactive, real-time dashboards and custom web applications, increasingly AI-powered, that put models in front of decision-makers: live KPIs, scenario controls, predictive engines and decision copilots, built bespoke for your data and workflow.
Dashboards, custom & AI apps →Production, workforce and resource schedules that respect every constraint and adapt as reality shifts, deployed as tools your planners run daily.
Schedulers & planners →Coaching, mentoring and embedded specialists who work inside your team, rapidly building your internal capability and handing over full ownership of the models and tools we create together.
Coaching, mentoring & embedding →We embed with your team, model the problem honestly, and ship software that lives well beyond the engagement.
We map the real objective, constraints and sources of uncertainty before writing a line of code.
Simulation and optimisation models, calibrated against your data and stress-tested against reality.
A dashboard, scheduler or decision app your team uses, robust, documented and maintainable.
We keep models honest as conditions change, and grow the platform with your operation.
Where scarce resources, tight schedules and big capital meet genuine uncertainty, we go deep. Explore the challenges we solve and example case studies by industry.
Mine-to-port simulation, fleet and haulage optimisation, blend planning and stockpile management under grade and price uncertainty.
View case studies →Patient-flow digital twins, capacity and bed planning, theatre scheduling and demand forecasting for emergency and elective care.
View case studies →Rail network simulation, terminal and yard modelling, network design, routing and fleet optimisation across the supply chain.
View case studies →Production and facility simulation, turnaround and shutdown optimisation, and offshore logistics for oil, gas and LNG operations.
View case studies →Technoeconomic modelling of wind, solar and storage, diesel-to-electric conversion in heavy industry, and decarbonisation pathways.
View case studies →Production scheduling, line-balancing and throughput simulation, inventory optimisation and capacity what-if planning.
View case studies →Most organisations still plan the way spreadsheets taught them: one number, one scenario, one "expected case." But variability, queues and rare events don't average out, they compound, and even well-run operations fall short of plan. Stochastix is a Australian-based decision-intelligence consultancy that models the messy, uncertain real world so your teams plan for truth and perform.
Whether it's a single what-if study or an enterprise planning platform, we'll tell you honestly what's possible, and how we'd build it.