AuraOne / Foundry
Loading hill-climbing and sealed suite options.
AuraOne / Foundry
Use supported production methods, domain-specific graders and compatible environments; retain the option to license private evaluation suites.
Two streams on one foundry: climb the benchmark you care about, or license a sealed suite and score against it.
Support triage
Lock the baseline, diagnose the failures, improve the system, and re-measure against the same criteria.
Inspect the climbUse a reviewed evaluation suite while its tasks, solutions, and licensing boundary remain controlled.
Explore the suitesFoundry workbench
Explore how a benchmark climb and a sealed-suite license organize the same fundamentals: locked criteria, reviewed failure modes, and evidence attached to the decision.
The climb loop
Your system runs the benchmark and submits the scores. Each of the six stages keeps the bar, the proposed fix, and the evidence legible enough to review.
Lock the task, the baseline, and the quality bar before anything changes.
Expert review classifies failure modes and traces them to representative cases.
Proprietary Task Foundry Output aimed at the diagnosed failures, kept separate from sealed evaluation sets.
Apply the smallest change that addresses the diagnosed failure mode.
Repeated rollouts under identical criteria show whether the change held.
A regression report is issued when the re-measured result clears the bar with no regressions; a positive certification additionally requires hosted proof under a signed scope.
Suite inventory Illustrative
Each cell shows how baseline models perform across specific failure categories before targeted post-training and rubric calibration.
Classify, route, and resolve representative customer support requests.
Extract terms, flag risk, and summarize representative business documents.
Complete multi-step operational workflows against representative inputs.
Reconstruct, verify, and challenge multi-step repository tasks with hidden checks and blind adversarial grading.
Evidence model
Every Foundry program combines sealed evaluation suites, expert failure annotations, and reproducible release gates.
ARIS is a single reliability-adjusted score: how often the system succeeds, weighted by how much each failure matters, with shaky results discounted.
In a scoped engagement, each benchmark runs multiple times under locked criteria, so the reported number reflects steady behavior.
Sealed evaluation sets are designed to a 0.1% overlap tolerance against seen material. Anything above the line is quarantined, never scored.
In a scoped engagement, qualified reviewers adjudicate disputed cases and sign off on every suite before it ships.
Engagement shapes
Start bounded, establish the evidence path, then expand only where the result supports it.
A bounded first climb on one benchmark to show the loop working on your system.
A scoped engagement: locked baselines, diagnosed failures, and the first regression-reported improvement.
Continuous hill-climbing across releases, with regression evidence on every cycle.
License a sealed suite to score a system you already run.
License improvement material built from reviewed failure trajectories for a separately scoped training decision.
Pair a sealed evaluation with its improvement material under one scope.
We will scope the task, baseline, review boundary, and evidence you need back.
We will confirm fit, permitted use, delivery shape, and the terms that keep it sealed.
