PRODUCT 01 / PILOT STAGE
Data Lab.
Find the failures your coding agent keeps making in data workflows. Keep a rerunnable test for every one you fix.
Send one failureTHE PRODUCT / 01
From a failure
to a release gate.
We turn shareable Python data-pipeline failures into isolated tasks with hidden verifiers. Known-good solutions must pass; no-op submissions must fail. We run repeated trials, inspect failure traces, and deliver a versioned suite your team can rerun.
Code, inputs, expected behavior, and permission to use them.
Isolated environment, hidden checks, oracle pass, no-op fail.
Repeated runs, failure report, and a rerunnable gate.
STARTER SUITE / 02
Working harness.
Early evidence.
These tasks are synthetic and mostly easy. Results show that the harness can surface a repeatability problem. They are not a model ranking, training uplift claim, or customer outcome.
THE OFFER / 03
Start with one.
Send one public or sanitized coding-agent failure with a complete reproduction. We will turn it into one runnable, versioned task within five business days of receiving the needed materials, at no charge. The deliverable includes the verifier summary, oracle/no-op calibration, and reproduction record. Model-versus-baseline results require access to your model.
If the sample gives your team useful signal, we can scope a paid private batch of 10–20 tasks. We agree on confidentiality, acceptance criteria, price, and timeline before that work starts.
Send a failure ← Back to SXNA Labs