Toekyn

Toekyn → Qaieo / Synthetic replay

Evidence in.
A clearer view ahead.

Follow one synthetic manufacturing milestone from recorded work to delay and remaining-cost forecasts.

Toekyn generates the work-evidence data; Qaieo combines it with simulation data for ML, RL and evaluations. Yeki’s planned integration adds government API context to underwriting and financing workflows.

Saved outputs from Qaieo’s actual synthetic evaluation run. No live ingestion, camera inference or model execution occurs in this browser.

Assembly · final test

SYNTHETIC · SHADOW ONLY

Historical fixture dates, not a current project. All amounts USD.

1. Choose the evidence cutoff

Loading the synthetic replay…

What this demonstrates

A traceable path.
Not a credit decision.

The replay uses the first test case in a fixed-seed synthetic run, selected by its identifier rather than its result. The run used 120 milestones from 30 synthetic companies with separate training, calibration and test partitions.

Changing the information set selects a saved fitted-baseline output. It is not a causal estimate of what adding a camera or changing funding would do. The evidence-hold controls are illustrations of the research boundary, not live permission enforcement.

RL requires executed actions, policy information and attributable rewards. This run provides frozen states only; it is not eligible as an RL transition. External training remains off.

Reproducibility and limitations

Inspect the public synthetic snapshot ↗

The original source code revisions and report/model hashes are included. Only a sanitized synthetic case is published; there is no upload or partner-data connection.