AutoSim · An AlphaIQ product

Six stages, one pipeline — description to audit-ready model.

Each stage produces an artifact you can read, and nothing downstream runs on a claim the stage before it could not support.

How it works

Six stages, one pipeline — description to audit-ready model.

01
Model
Plain-language description in; parameters derived with roles and citations, so every prior has a stated source.
02
Data
A reference simulator generates clean calibration data — or you upload your own observations and the system scores their quality.
03
Code
The simulator is streamed live as it is written, grounded in 23 book-tested reference models rather than generated from scratch.
04
Calibrate
An identifiability screen first, then ABC-SMC: a posterior with 95% credible intervals instead of a single fitted point.
05
Simulate
A 30-run Monte-Carlo ensemble, in-browser, with seeds recorded per run so any trajectory can be reproduced.
06
Validate
Out-of-sample score, self-heal loop, and an exportable model-risk report built for review.

Zero infrastructure: the compute-heavy parts run in your browser via WebAssembly, so your data never has to leave the machine it is on.

Why now

Three curves crossed this year.

Frontier LLMs

They can finally write mechanism-rich, domain-grounded scientific models. The raw generation problem is solved and commoditising.

WebAssembly Python

Real numpy in every browser tab. A full Monte-Carlo and Bayesian-calibration engine now runs client-side: zero infrastructure, and data that never leaves the machine.

Model-risk pressure

SR 11-7, the EU AI Act, insurance and pharma regimes: every model behind a decision needs documented validation, and nobody has capacity to do it by hand.

Generation commoditised. Execution moved to the client. Validation became mandatory. AutoSim sits exactly at the intersection.

Who it is for

From quant teams to every analyst: simulation for the other 99%.

Specialists: Model-risk, quantitative research and validation teams who already build simulations and need the documentation to survive review.
Analysts: Policy teams, consultants, operations and educators who have the questions but never had a quant team to build the model.
Three wedges: Finance and insurance model-risk, then supply chain and operations, then pharma and public health. Each buys validation, not just simulation.

The wedge is the report. Incumbents sell simulation engines and leave validation to consultants. AutoSim sells the audit-ready outcome — the artifact the risk committee actually signs.

See the proof

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