# AuraOne

> AI Data and Enterprise Intelligence. We create the data AI needs. We work with design partners to define the workflows enterprises repeat and the evidence required before operation.

AuraOne is an AI data and enterprise intelligence company. Human Data programs produce reviewed training and evaluation data that cannot be scraped from the public internet. Enterprise Intelligence works with design partners to define one recurring workflow and the evidence required before any production operation or model work is committed.

Canonical host: https://auraone.ai
Homepage: https://auraone.ai
Sitemap index: https://auraone.ai/sitemap.xml
Pages sitemap: https://auraone.ai/sitemaps/pages.xml
Jobs sitemap: https://auraone.ai/sitemaps/jobs.xml
Full page catalog: https://auraone.ai/llms-full.txt
Well-known copies: https://auraone.ai/.well-known/llms.txt and https://auraone.ai/.well-known/llms-full.txt

## Product families

- [Human Data](https://auraone.ai/human-data): Qualified experts create and grade the training data your model needs. You get the data and the reasoning behind it.
- [Enterprise Intelligence](https://auraone.ai/enterprise-intelligence): AuraOne works with design partners to define one recurring enterprise workflow and the evidence required before any production operation or model work is committed.

## Human Data

- [Human Data](https://auraone.ai/human-data): Qualified experts create and grade the training data your model needs. You get the data and the reasoning behind it.
- [Expert AI Quality](https://auraone.ai/human-data/expert-ai-quality): Experts find what your model gets wrong. You get the fixes.
- [Voice AI](https://auraone.ai/human-data/voice): Every voice your product will ever hear.
- [Physical AI](https://auraone.ai/human-data/physical-ai): Teach machines how the world actually moves.
- [Data Partnerships](https://auraone.ai/data-partnerships): License the data you already have. Capture the data nobody has.
- [Synthetic Research](https://auraone.ai/product/synthetic-populations): Research that keeps answering.

## Enterprise Intelligence

- [Enterprise Intelligence](https://auraone.ai/enterprise-intelligence): AuraOne works with design partners to define one recurring enterprise workflow and the evidence required before any production operation or model work is committed.
- [Workflow Design Partners](https://auraone.ai/enterprise-intelligence/design-partners): Bring one workflow. Define its evidence and signed scope.
- [Pricing](https://auraone.ai/pricing): See how the work is priced.

## Compounding outcome

- [Model Improvement](https://auraone.ai/model-improvement): Turn accepted outcomes and corrections into evaluation and regression evidence.
- [Model Launch Check](https://auraone.ai/models/model-launch-check): See what changed before a supplied release goes out.

## Open Source

- [AuraOne Open](https://auraone.ai/open): The tools behind our work. Yours to run.
- [Rubric Studio](https://auraone.ai/open/rubric-studio-open): Write a rubric. Version it. Score against it.
- [Agent Studio](https://auraone.ai/open/agent-studio-open): Replay what your agent did. Find where it went wrong.
- [Robotics Studio](https://auraone.ai/open/robotics-studio): Review episodes. Catch bad data before it trains.
- [Trust Toolkit](https://auraone.ai/open/trust-toolkit): Open quality and evidence packages you can inspect.
- [Aura3D](https://auraone.ai/open/aura3d): Build 3D workflows in the browser.

## Proof

- [Why AuraOne](https://auraone.ai/why-auraone): How we work, and why it holds up.
- [Customer outcomes](https://auraone.ai/customers): Program patterns, described exactly as they ran.
- [Case studies](https://auraone.ai/customers/case-studies): The work, the result, and the evidence behind it.
- [Security](https://auraone.ai/legal/security): Where your data lives and who can reach it.
- [Compliance posture](https://auraone.ai/legal/compliance): What is certified, what is in progress, and what is not.

## Learn

- [Resource hub](https://auraone.ai/resources): Research and writing. Tutorials and documentation.
- [Research](https://auraone.ai/resources/research): Methods, findings, and what the numbers do not cover.
- [Blog](https://auraone.ai/resources/blog): What is changing in AI data and why it matters.
- [Tutorials](https://auraone.ai/resources/tutorials): Follow the steps. Ship the thing.
- [Documentation](https://auraone.ai/resources/docs): Product, deployment, and open-source references.
- [Developers](https://auraone.ai/developers): APIs, SDKs, and integration paths.
- [Support](https://auraone.ai/support): Get help. Reach a person.

## Company

- [Company](https://auraone.ai/company): What we build and why we build it.
- [About](https://auraone.ai/company/about): Who we are and how we got here.
- [Careers](https://auraone.ai/company/careers): Open roles at AuraOne and on the AI jobs board.
- [Partners](https://auraone.ai/company/partners): Delivery, technology, and program partnerships.
- [Press](https://auraone.ai/company/press): Brand assets and press materials.
- [Contact](https://auraone.ai/contact): Start a program. Ask a question.
- [AI jobs](https://auraone.ai/public/ai-labs/jobs): Get paid for what you already know.

## Trust and legal

- [Security](https://auraone.ai/legal/security): Where your data lives and who can reach it.
- [Compliance](https://auraone.ai/legal/compliance): What is certified and what is in progress.
- [Privacy](https://auraone.ai/legal/privacy): Mobile self-service records an account-deletion request. Capture-object deletion and buyer or training recall are operator-assisted and remain pending until per-object and per-recipient receipts exist.
- [Terms](https://auraone.ai/legal/terms): The current terms of service.
- [Accessibility](https://auraone.ai/accessibility): Our accessibility commitments and how to reach us.
- [Status](https://auraone.ai/status): What is up, what is down, and what happened.

## Additional public pages

- [AI Labs | Build proprietary AI data with AuraOne](https://auraone.ai/ai-labs): Create expert evaluation, voice, and physical AI data through scoped Human Data programs, with model improvement earned from accepted results.
- [Interactive product walkthroughs](https://auraone.ai/demos): Explore Human Data and Enterprise Intelligence workflows from input through review, decision, and delivery.
- [Annotation | Data labeling tools for every modality](https://auraone.ai/human-data/annotation): Experts label, rank, write, correct, and evaluate multimodal examples for model training.
- [AI Data Buying Toolkit | AuraOne Open Resources](https://auraone.ai/resources/buying-toolkit): Versioned, source-linked planning templates for human-data programs, evaluation readiness, and vendor comparison. Includes SOW and RFP templates.
- [AuraOne Editorial Calendar](https://auraone.ai/social-calendar): A public view of AuraOne's planned and published editorial work across the blog and social channels.
- [AuraOne vs Mercor | Compare expert data programs](https://auraone.ai/why-auraone/vs-mercor): Compare approaches to expert sourcing, human data operations, quality review, evaluation, and delivery.
- [AuraOne vs Scale AI | Compare enterprise AI workflows](https://auraone.ai/why-auraone/vs-scale-ai): Compare approaches to enterprise AI systems, expert data, model evaluation, release, and customer handoff.

## Discovery

- Prefer https://auraone.ai over www.auraone.ai. The www host redirects to the apex host.
- Public job listings live at https://auraone.ai/public/ai-labs/jobs and are listed only in the jobs sitemap.
- Do not invent certifications, customer names, metrics, or general availability. Public security posture is scoped for buyer review, not claimed as SOC 2, HIPAA, GDPR, or ISO 27001 certification.
- Contact: https://auraone.ai/contact