AuraOne
AuraOne helps teams test AI, send the hard cases to experts, and prove what is ready to ship.
One place to check it, improve it, and stand behind it.
Teams still have to test the output, send edge cases to experts, remember failures, and show what was approved. AuraOne keeps that loop in one place.
When testing, review, and approval live in different places, teams spend more time stitching together the story than improving the AI.
Result: more handoffs, repeated mistakes, and less confidence.
one loop
AuraOne keeps the work, the review, and the record together, so every miss can come back as a stronger check next time.
Check the work. Send hard cases to a person. Remember what failed. Keep a clear record.
Test every version the same way, so you can see what changed and what still holds up.
When the model is unsure, the right person gets the case with the context they need.
Turn real mistakes into repeatable checks, so the same miss does not slip through again.
Keep decisions, notes, and sign-off together before anything moves forward.
Test every version the same way, so you can see what changed and what still holds up.
When the model is unsure, the right person gets the case with the context they need.
Test every version the same way, so you can see what changed and what still holds up.
Turn real mistakes into repeatable checks, so the same miss does not slip through again.
Keep decisions, notes, and sign-off together before anything moves forward.
Regression Bank
Scrub through the failure replay: capture the incident, route the review, attach the replay, and watch the release stay blocked until the fix is proven.
A miss reaches production and gets captured as a concrete case.
Products
AuraOne is organized around the jobs teams actually need to do: check the work, review the edge cases, improve the system, and ship with confidence.
Prove
Measure the system before release and turn misses into something the team can learn from.
Run records, review packets, regression fixtures
Route
Send risky cases to the right reviewer and keep the handoff clear.
Routed reviews, calibration notes, reviewer attribution
Govern
Keep approvals, release gates, and exports connected to the work.
Approvals, release gates, compliance exports
Expand
Scale repeatable workflows while keeping domain-specific inputs, reviewer steps, and outputs clear.
Workflow runs, reviewer handoffs, domain playbooks, and export-ready packets
AuraOne adapts to the artifact each team works with - sequences, molecules, scans, or alerts - while keeping review, memory, and approval in one system. That means domain teams can move faster without losing context.
Review sequences before they move forward and send risky cases to the right specialist.
A clear record of what was checked, what changed, and who approved it.
Compare candidate molecules with assay context before advancing the ones that matter.
A promotion record teams can review and defend.
Flag uncertain scans, route edge cases, and keep the reading history together.
A study-ready record with notes and sign-off.
Review alerts, explain decisions, and keep a record ready for audit.
An examiner-ready file with validation and approvals.
AuraOne keeps the audit trail attached to the release trail so the trust conversation is evidence-led instead of speculative.
Access controls, encryption posture, review materials, and deployment boundaries in one packet.
Run logs, reviewer attribution, approval chains, and change records stay attached to the workflow.
Talk through cloud, private, or hybrid rollout paths without reopening the narrative each time.
Legal, security, and rollout questions get a single owner instead of a shared inbox.
Evaluation inputs, outputs, and scores from the release run.
Who reviewed the case, when, and what decision they made.
The exact reproduction that turns a miss into a permanent test.
The evidence trail attached to the final gate decision.
Escaped failures become permanent replays before the next ship.
A model missed a safety edge case in production.
The incident was routed to the right reviewer, replayed, and blocked at release.
Incident note, reviewer packet, regression replay, approval chain.
Legal and security teams needed a clear answer before procurement.
AuraOne attached the run history, export packet, and deployment model.
Evidence pack, trust center links, rollout path, SLA notes.
A specialized workflow kept breaking when it hit real-world variation.
Domain Labs used the same closed loop with domain reviewers and templates.
Domain playbook, specialist routing, replay fixture, export trail.
We'll show you how AuraOne checks it, routes it, and remembers it.