MODELS · FOR THE TEAMS WHO DEFEND THE CALL

An AI app for your field. You keep the weights.

Tracing tells you what the model did. AuraOne records who approved it — eval miss, reviewer, regression gate, signed release. Start open. Train on your reviewed work. Keep the tuned model.

TRACING
What it did

Dashboards tell you what changed.

RELEASE
Who approved it

A signed gate, on the evidence, with the reviewer named.

WEIGHTS
Yours to keep

Train on reviewed work. Own the model.

TRACING VS RELEASE GOVERNANCE

Observability stops at the score. The value is the signed release.

Dashboards show what changed. They do not record who approved it. Here, an eval miss carries a reviewer, the regression gate it had to pass, and the signed evidence the release went out on. Then you train on that reviewed work and keep the tuned weights. Independent of any single data or model vendor — the release record is yours and free of conflict.

Score & remember
Evaluation
Test it, hold the line
  • ·Evaluation Studio
  • ·AuraQC
  • ·Regression Bank
  • ·Compliance Monitoring
  • ·Control Center
Train & keep
Weights
Train on reviewed work
  • ·Autopilot
  • ·Training
  • ·RL Environments
  • ·Federated Learning
Sign the release
Release
Proof you own
  • ·One record per release
  • ·Reviewer attached
  • ·Regression gate
  • ·Export pack you own
ONE RELEASE RECORD
Evidence Reviewer Regression gate
SIGNED · RELEASE OWNER NAMED
01
One record
Reviewer attached
02
Signed evidence
Release owner named
03
Release gate
Regression must pass
04
Export pack
Customer-owned
SCORE & REMEMBER

Test the work. Review it. Catch the same mistake once.

Every escaped failure becomes a gate the next release cannot cross. The proof rides along — access, audit, retention, and exports live inside the workflow.

EvaluationReleaseProof
EVALUATION STUDIO

Test it before it ships.

For the teams who stopped trusting the eval script.

See the page →
AURAQC

Quality that doesn't end at ship day.

Every issue. Every reviewer. One screen.

See the page →
BASELINE / CANDIDATE● GATE CLEAR
BASELINE
Prompt leakfail
Tool timeoutfail
Policy gapfail
Owner missfail
CANDIDATE
Maskedpass
Retry passedpass
Mappedpass
Assignedpass
Risk −18Rubric 94SIGNED VERDICT
REGRESSION BANK

Every mistake. Only once.

Every escaped failure becomes a gate the next release cannot cross.

See the page →
COMPLIANCE MONITORING

Compliance that writes itself.

The record builds as the work is done. Access, audit, retention, and exports live here too.

See the page →
SIGNED PROOF● SEALED
Rubric142 cases
Reviewer19 overrides
Checksumsha256:7fa9…
EvidenceEP-4187
EVALREVIEWPOLICYRELEASE
SIGNED
EP·4187
Signed at release gate · EP-4187
CONTROL CENTER

The last check before it ships.

Tests, reviews, regressions, and compliance converge here.

See the page →
OVERVIEW

The stack, on one page.

Start here. Every module, every group, one scroll.

See the page →
ONE RUN, END TO END

A signal becomes a decision without losing context.

An eval miss becomes a reviewer assignment, a regression case, a compliance finding, and a release hold — then a signed packet and a tuned model. One record, not five separate stories.

Eval miss to release hold
REVIEWER ASSIGNED

The miss, traced

Regression bank
GATE WRITTEN

The gate it must pass

BASELINE / CANDIDATE● GATE CLEAR
BASELINE
Prompt leakfail
Tool timeoutfail
Policy gapfail
Owner missfail
CANDIDATE
Maskedpass
Retry passedpass
Mappedpass
Assignedpass
Risk −18Rubric 94SIGNED VERDICT
Signed release
RELEASE OWNER NAMED

The evidence it shipped on

SIGNED PROOF● SEALED
Rubric142 cases
Reviewer19 overrides
Checksumsha256:7fa9…
EvidenceEP-4187
EVALREVIEWPOLICYRELEASE
SIGNED
EP·4187
Signed at release gate · EP-4187
A frontier model lab routed every escaped regression into a signed release gate — one record, one owner, one decision.
WHAT COMES OUT

The proof leaves with you.

A signed release packet — scorecard, reviewer rationale, replay suite, and decision timeline — ready when an examiner or committee asks. EU AI Act high-risk training-data provenance enforces August 2026; 78% of orgs can't validate their data before training, and 77% can't trace where it came from.

01

Scorecards

One read on what passed, what failed, and what needs another look.

↳ ARTIFACT
02

Review records

The case, the reviewer notes, and the final call stay together.

↳ ARTIFACT
03

Replay suites

Escaped issues become repeatable checks the next release must pass.

↳ ARTIFACT
04

Decision timelines

What changed. Who approved it. Whether the work moved forward.

↳ ARTIFACT
05

Evidence packets

Checks, history, and proof — ready when someone asks.

↳ ARTIFACT
MODELS

Bring the work. Keep the proof. Own the model.

Bring the release, the review queue, or the escaped issue that matters most. We will show how it runs. Keep your registry, your CI, your providers — AuraOne signs the hard decision and keeps the reviewer evidence attached.

Models | AuraOne App Data OS | AuraOne