AutoSim · An AlphaIQ product

It recovers known answers — and says so honestly.

The engine is checked against problems whose answers are known in advance, across different modelling paradigms.

Proof

It recovers known answers — and says so honestly.

The engine is checked against problems whose answers are known in advance, across different modelling paradigms.

β = 0.060

Planted-truth SIR: a true transmission rate of 0.06 recovered as 0.060 [0.052, 0.071] — the 95% credible interval covers the truth.

ρ = 0.70

M/M/1 queue: utilisation recovered within ±0.06 from the transient alone, and Little's law holds. Same engine, different paradigm.

72 → 84%

Self-heal on a degraded labour-market model: two kept repairs, one honest revert, an honest plateau — the whole trajectory visible to the user.

Live today

Full six-stage product in production
500+ scenario templates across 20 domains
17 chapter models from the companion book, with cited priors
20 known-answer calibration benchmarks
Billing, quotas and audit logging already built

Why AutoSim

Anyone can generate a model. We built the trust layer.

Identifiability screen

Measures which parameters your data can actually pin down — and freezes the rest, with reasons. No fake precision.

Claim classes

Synthetic data yields a plausibility claim. Real data yields a predictive claim, scored on a held-out window. The system will not let one masquerade as the other.

Honest scoring

Weighted rules that actually computed, renormalised. "Not assessed" beats a guessed number, and critical bugs cap the score.

Self-heal

An automatic repair loop that ratchets on the validity score — keeps a fix only if the score rises, reverts everything else, and stops at plateau.

Model-risk report

Methodology, posteriors, convergence, overfit ratio and limitations — regenerated byte-identically from stored metrics. Built for audit.

Eighteen months of validation engineering that an API wrapper cannot copy in a weekend.

The method, written down

Built by the person who wrote the book on it.

AutoSim ships with Agentic Simulations: A Practitioner's Handbook and its companion volume — 17 worked models, all running inside the product with cited priors. The book is the method; AutoSim is the lab.

Ilan Gleiser, founder of AlphaIQ

How AutoSim works

Posterior parameter regions and residual diagnostics from a calibration run — Posteriors, convergence and residuals — regenerated from stored metrics

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.

Talk to AlphaIQ