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Human Data · Models · Compute · App Data

AuraOne is theoperating platformfor AI work.

Bring together the people, data, evaluations, compute, approvals, and evidence required to improve and release high-stakes AI systems.

Start a programInspect how the proof works

The measure of intelligence is what you can prove.

Operating fieldProduct workflow
Release evidence

One decision connects candidates, regressions, and approval.

18regressions replayedReview path attached
Explore Models

Release 2.4 review. One decision connects candidates, regressions, and approval.

  1. 01 · SourceNamed data, task, run, or domain object
  2. 02CriteriaVersioned rules and ownership
  3. 03ReviewHuman judgment and exceptions
  4. 04 · DecisionRelease, hold, return, or handoff

One operating platform

Four product families. One connected record.

Move from people and source work to model evaluation, GPU infrastructure, and domain workflows without losing the criteria, decisions, or evidence that make the result usable.

01

Human Data

Qualified people create, review, and improve the data AI systems use, with training, rights, quality, and delivery evidence attached.

Input
A defined task, required expertise, data rights, and quality rules.
Output
A scoped dataset or evaluation record with quality and delivery evidence.
Explore Human Data
02

Models

Evaluate, compare, improve, approve, release, and monitor models against explicit criteria and retained regressions.

Input
Model candidates, evaluation data, rubrics, regressions, release policy, and owners.
Output
A source-linked model decision, launch file, governed export, or operating record.
Explore Models
03

Compute

Search, compare, reserve, and operate GPU capacity across a provider network.

Input
A GPU type, region, quantity, start date, duration, workload, and budget.
Output
A selected GPU configuration with provider, price, availability, launch, and reservation context.
Explore Compute
04

App Data

Choose a domain application, provide the input, review the work, and receive a usable, evidence-linked output.

Input
A domain object, source file, project rule set, and desired output.
Output
A usable domain result, handoff file, manifest, and retained decision record.
Explore App Data

How work becomes evidence

AuraOne keeps the source, criteria, review, decision, and reusable record connected instead of presenting a dashboard without provenance.

  1. 01

    Define the work

    Name the object, owner, purpose, rights, and decision before execution starts.

    Program brief and source manifest

  2. 02

    Run the workflow

    Create or evaluate the work under versioned criteria and visible ownership.

    Work items, rubric, run, or domain record

  3. 03

    Review the evidence

    Inspect sources, exceptions, retained failures, and reviewer judgments.

    Review record and exception history

  4. 04

    Approve the outcome

    Release, hold, or return the work with a complete decision record and next action.

    Decision, signers, export, and audit history

The operating outcome stays linked to the work.

These are product contracts, not unsupported performance claims. Program-specific measures are defined and approved with the customer.

The operating outcome stays linked to the work.. These are product contracts, not unsupported performance claims. Program-specific measures are defined and approved with the customer.
OutcomeWorkWhat you receiveProgram fit
Training data ready for useQualified specialists create, review, and adjudicate scoped examples.Contributor qualification, rights scope, rubric, quality review, and delivery manifest.Dataset fitness depends on the agreed task, sample, rights, and acceptance criteria.
Model release decisionCandidates run through the same rubric, slices, regressions, and approval path.Source runs, comparison matrix, blockers, approvals, rollback, and launch file.A launch decision applies only to the tested candidate, data, criteria, and release scope.
Domain output ready for handoffAn App Data workflow validates input, records review, and assembles the output.Source files, workflow stages, reviewer notes, status, manifest, and retained audit record.Readiness differs by application and is displayed before the conversion action.

Open Source

Inspect the tools and their boundaries.

AuraOne Open provides local-first studios and toolkits for rubrics, agents, robotics, reliability, and browser-native 3D. Product pages state license, data movement, support status, and the current release path.

Rubric StudioAuthor and score versioned rubrics locally.Agent StudioDebug and replay tool-using agents.Robotics StudioReview sessions, datasets, and failures.Trust Toolkit and Aura3DInspect reliability packages and browser-native 3D workflows.

Trust and legal

Trust stays visible through the workflow.

The public site distinguishes current controls, readiness work, scoped claims, and evidence available during review.

Security
Current controls and disclosure pathSecurity overview
Compliance
Readiness statements separated from certificationCompliance posture
Privacy
Data use, retention, and contact termsPrivacy notice
Accessibility
WCAG 2.2 AA target and feedback pathAccessibility statement

Start a program

Choose the right product and objective.

Choose the work first. AuraOne will carry that context into the program brief.

1. Product2. Objective3. Brief