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AutoSim simulations

What AutoSim models — and what is already running.

One engine, six model families, and a growing set of live simulations built entirely through the pipeline. Start from the question you have, or open something already calibrated and make it yours.

Live now

Built with AutoSim, running today.

These are working simulations built on the AutoSim pipeline — each one calibrated, validated and published as a running dashboard. Open any of them and change the parameters yourself.

Brazil Macro-Fiscal ABM dashboard

Economics & public finance

Brazil Macro-Fiscal ABM

Sovereign fiscal limits, FX, monetary policy and household stress for Brazil from 2026 to 2050, over hundreds of Monte Carlo paths.

Agent-based · Monte-Carlo ensemble

  • brazil
  • fiscal
  • fx
  • monetary
Walkthrough +

Typical scenario

A sovereign macro strategist needs to know whether Brazil's debt path stays financeable if growth disappoints and the Selic has to stay high.

Example prompt

“Simulate Brazil 2026-2050 with GDP growth 1pp below consensus and Selic held at 12% for three years. Show the debt/GDP distribution and the probability of a fiscal limit breach.”

What you get back

  • Fan chart of debt/GDP across 500 Monte Carlo paths with 5/50/95 percentiles
  • Probability of breaching the fiscal limit before 2035, by scenario
  • Household stress and FX pass-through decomposition per year
Open simulation
Geopolitical Risk Monitor dashboard

Geopolitics & country risk

Geopolitical Risk Monitor

Ask a question in plain language — an oil shock, a recession, a shifting alliance — and watch country risk propagate through the model.

Agent-based · natural-language scenarios

  • geopolitics
  • country-risk
  • scenarios
Walkthrough +

Typical scenario

A risk committee wants a same-day read on how an oil shock would travel through their country exposures.

Example prompt

“Oil jumps to $120 and stays there for two quarters. Which countries in my book deteriorate first, and how far does it spread?”

What you get back

  • Ranked country risk deltas with the transmission channel named for each
  • Contagion map showing first-, second- and third-order spillovers
  • Scenario narrative plus the assumptions the model actually used
Open simulation
Supply Chain Resilience Platform dashboard

Supply chain & energy infrastructure

Supply Chain Resilience Platform

Pipeline networks, refineries and distribution systems simulated end to end to locate vulnerabilities and test mitigation strategies.

Agent-based · network flow

  • supply-chain
  • energy
  • resilience
Walkthrough +

Typical scenario

An operations lead has to decide where to add buffer capacity before the next outage season.

Example prompt

“Take my pipeline and refinery network, fail the two highest-throughput nodes independently, and rank mitigations by served demand recovered per dollar.”

What you get back

  • Criticality ranking of nodes and links by unserved demand
  • Before/after flow maps for each mitigation option
  • Cost-effectiveness table with recovery time under each strategy
Open simulation
LPG Arbitrage ABM dashboard

Commodities & shipping

LPG Arbitrage ABM

Live arbitrage windows on LPG trade: VLGC fleet utilisation, US Gulf to Asia spreads and position VaR as contract prices move.

Agent-based · trading and logistics

  • lpg
  • shipping
  • arbitrage
  • var
Walkthrough +

Typical scenario

A commodities trader is sizing a US Gulf to Asia LPG position and wants the arb window and downside quantified.

Example prompt

“With freight up 20% and Asian propane at a $90/t premium, is the US Gulf to Chiba arb open? Size a position and show its VaR.”

What you get back

  • Arb window open/closed by week with the netback build-up
  • VLGC fleet utilisation and voyage economics per route
  • Position P&L distribution with 95% and 99% VaR
Open simulation
Pré-Sal Offshore ABM dashboard

Offshore oil & gas

Pré-Sal Offshore ABM

Six engines over the Santos Basin cluster: PSV fleet routing, FPSO diesel inventories, weather windows, spill response and licensing rounds.

Agent-based · discrete-event logistics

  • offshore
  • oil-gas
  • logistics
  • brazil
Walkthrough +

Typical scenario

A logistics planner needs to know whether the current PSV fleet can keep FPSO diesel inventories safe through a rough-weather month.

Example prompt

“Run the Santos Basin cluster for 90 days with 30% more weather downtime. Do any FPSOs go below minimum diesel, and does one more PSV fix it?”

What you get back

  • Inventory trajectories per FPSO with stock-out events flagged
  • PSV utilisation, queueing and waiting-on-weather hours
  • Fleet-size sensitivity showing the marginal value of each added vessel
Open simulation
Airline Pricing ABM dashboard

Aviation & revenue management

Airline Pricing ABM

Airlines and passengers priced agent by agent — fare dynamics, demand shocks and competitive response across a route network.

Agent-based · pricing and competition

  • aviation
  • pricing
  • demand
Walkthrough +

Typical scenario

A revenue manager wants to know what happens to yields if a competitor undercuts fares on a core route.

Example prompt

“A competitor cuts base fares 15% on my top three routes. Simulate passenger switching and show my optimal fare response.”

What you get back

  • Load factor and yield paths with and without a response
  • Passenger switching flows by fare class and booking curve
  • Recommended fare response with the revenue delta it buys
Open simulation
Financial Avatar Lab dashboard

Retail banking & wealth

Financial Avatar Lab

Household financial avatars in the UK market, testing next-best-action strategies against macro scenarios, product changes and demographic shifts.

Agent-based · next-best-action

  • banking
  • customers
  • strategy
Walkthrough +

Typical scenario

A retail bank is choosing between two next-best-action strategies and wants them tested on synthetic households first.

Example prompt

“Compare a savings-first versus a credit-first next-best-action policy across UK household avatars under a mild recession.”

What you get back

  • Uplift by household segment for each policy
  • Arrears, attrition and balance-growth curves under the macro scenario
  • Policy comparison with the segments where each one wins
Open simulation
Dollar Debasement ABM dashboard

Macro & monetary policy

Dollar Debasement ABM

USD purchasing power stress-tested across six monetary regimes, tracing contagion from Treasury to households and scoring hedge sleeves.

Agent-based · Monte-Carlo ensemble

  • macro
  • usd
  • inflation
  • hedging
Walkthrough +

Typical scenario

An allocator wants to know which hedge sleeve actually protects purchasing power if the monetary regime shifts.

Example prompt

“Stress USD purchasing power under fiscal dominance, and score gold, TIPS, foreign equity and crypto sleeves over ten years.”

What you get back

  • Purchasing-power paths per monetary regime with tail percentiles
  • Hedge sleeve scorecard: real return, drawdown, regime hit rate
  • Contagion trace from Treasury issuance to household balance sheets
Open simulation
Equity Market ABM dashboard

Equity markets

Equity Market ABM

Equity markets simulated trader by trader — calibrate, validate and stress-test a strategy before a single dollar is at risk.

Agent-based · market microstructure

  • equities
  • trading
  • backtesting
Walkthrough +

Typical scenario

A quant wants to see how a mean-reversion strategy behaves in a market of reacting traders, not a replayed tape.

Example prompt

“Calibrate to last year's volatility and run my mean-reversion strategy against momentum and market-maker agents. Where does it break?”

What you get back

  • Calibration diagnostics against observed volatility and volume
  • Strategy P&L distribution with drawdown and turnover
  • Regime breakdown showing the conditions where the edge disappears
Open simulation

Every model here was specified in plain language, generated, calibrated and validated through the same pipeline described on this site. They are free to open and run.

Every simulation below was specified in plain language, generated, calibrated and validated by AutoSim — no bespoke engineering.

Marketplace

What AutoSim simulates

Six families of model, one description away.

AutoSim is not a template gallery. It picks the modelling paradigm the system actually needs, writes the simulator, and calibrates it against your data.

Agent-based models

Heterogeneous agents with behavioural rules, interacting on a grid, a network or a market. Emergent outcomes rather than assumed ones.

Traders, households, drivers, patients, firms

Compartmental & system dynamics

Stocks, flows and feedback loops. Continuous or discrete time, fitted to observed trajectories rather than hand-tuned.

SIR epidemics, adoption curves, inventory loops

Discrete-event & queueing

Arrivals, servers, capacity and waiting. Utilisation and tail latency come out of the run, not out of an average.

Triage, warehouse picking, call centres, ports

Network diffusion & contagion

Spread over an explicit graph, with topology treated as a parameter you can stress rather than a fixed assumption.

Information cascades, default contagion, outages

Monte-Carlo risk ensembles

Thousands of stochastic paths from the calibrated model, returning full distributions, probability cones and tail measures.

VaR and ES, ruin probability, delay distributions

Policy & intervention search

Sweeps and optimisation on top of the simulator, so you compare interventions under the same uncertainty instead of one point forecast.

Pricing, staffing, lockdowns, rebalancing rules

Every family ships as readable Python, calibrated with ABC-SMC and scored out-of-sample — the paradigm changes, the evidence standard does not.

From one sentence to a running model

What you describe, what you get back.

“Simulate how a two-week port strike moves my delivery times.”
Discrete-event logistics model with capacity shocks, calibrated to your shipment history, returning a delay distribution per lane.
“Model a flu outbreak in a city of 2 million with school closures.”
Age-structured compartmental model with mobility, priors cited from literature, intervention timing as a swept parameter.
“What happens to my order book if the two largest market makers withdraw?”
Agent-based market microstructure model, calibrated to observed spread and depth, with a stressed-liquidity ensemble.
“How much staffing do I need to keep ER waits under 30 minutes?”
Queueing model of triage and beds, fitted to arrival logs, with a staffing sweep and the cheapest policy that holds.
Industry verticalsHow AutoSim worksPricingFAQ

Next step

Bring a system you need to defend.

Describe it in plain language and AutoSim will build, calibrate and score a simulation of it while you watch. If the question needs more than the product alone, AlphaIQ will build it with you.

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