# AuraOne

> Expert data for AI. Verified work for business. Expert judgment, voice, physical-world data and licensed operating history for AI teams. Finished, checked workflows for enterprises. One system connects the work, the review and the evidence.

AuraOne has two businesses. Human Data delivers expert judgment, speech, physical demonstrations, approved operating history and validated synthetic coverage for AI teams, with the checks and use terms that apply. Enterprise Intelligence returns one recurring workflow finished and checked; each workflow runs under a signed scope. Source owners can bring approved work history to Data Partnerships for a licensing assessment.

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): Expert judgment, speech, physical demonstrations, approved operating history and validated synthetic coverage—delivered with the checks and use terms that apply.
- [Enterprise Intelligence](https://auraone.ai/enterprise-intelligence): Define a recurring workflow, connect authorized inputs and tools, and review the exceptions against your quality standard.

## Pages

- [Human Data](https://auraone.ai/human-data): The data your AI needs to do the work. Expert judgment, speech, physical demonstrations, approved operating history and validated synthetic coverage—delivered with the checks and use terms that apply.
- [Expert AI Quality](https://auraone.ai/human-data/expert-ai-quality): Expert judgment, with the reasoning and review attached. Qualified specialists create or assess difficult examples; review follows the agreed criteria and records disagreements.
- [Voice AI](https://auraone.ai/human-data/voice): Speech data built around the conversations your AI must handle. Agree the capture, language, consent and quality requirements; receive the accepted recordings or evaluation outputs.
- [Physical AI](https://auraone.ai/human-data/physical-ai): Real-world demonstrations, prepared for your AI task. Keep observed capture, machine enrichment and synthetic coverage distinct, with the relevant timing and permission records.
- [Data Partnerships](https://auraone.ai/data-partnerships): Turn approved work history into usable AI data. Start with the source and intended use. We assess the material, prepare the permitted slice and define the product it can support.
- [Foundry](https://auraone.ai/foundry): From real work to repeatable tasks and evaluations. Use supported production methods, domain-specific graders and compatible environments; retain the option to license private evaluation suites.
- [Model Improvement](https://auraone.ai/model-improvement): Find the failures. Build the evidence for the next version. Send a model and a task. AuraOne evaluates failures, adds human corrections, and verifies whether the next candidate should ship.
- [Model Launch Check](https://auraone.ai/models/model-launch-check): Know what passed before you release. Compare the same checks, review blockers and record the evidence for a ship, hold or rollback decision.
- [Enterprise Intelligence](https://auraone.ai/enterprise-intelligence): Send the work. Get it back finished and checked. Define a recurring workflow, connect authorized inputs and tools, and review the exceptions against your quality standard.
- [Synthetic Research](https://auraone.ai/product/synthetic-populations): A research population you can question again. Explore supported professional questions with the methodology, calibration and limitations attached to every result.

## Products

- [Human Data](https://auraone.ai/human-data): Expert judgment, speech, physical demonstrations, approved operating history and validated synthetic coverage—delivered with the checks and use terms that apply.
- [Expert AI Quality](https://auraone.ai/human-data/expert-ai-quality): Lawyers, clinicians and analysts answer hard questions and grade AI answers. A program can require a second expert on every point.
- [Voice AI](https://auraone.ai/human-data/voice): Speech recorded with consent. The permission stays with each recording.
- [Physical AI](https://auraone.ai/human-data/physical-ai): In a scoped program, people record everyday tasks, with consent, so robots can learn how real work is done.
- [Data Partnerships](https://auraone.ai/data-partnerships): Turn approved work history into usable AI data.
- [Synthetic Research](https://auraone.ai/product/synthetic-populations): A research population you can question again.
- [Synthetic Data](https://auraone.ai/human-data): Create the coverage your dataset is missing.
- [Enterprise Intelligence](https://auraone.ai/enterprise-intelligence): Define a recurring workflow, connect authorized inputs and tools, and review the exceptions against your quality standard.
- [Managed](https://auraone.ai/enterprise-intelligence/managed): Send the work. Receive the finished result under a signed pilot scope.
- [Integrated](https://auraone.ai/enterprise-intelligence/integrated): Scoped connectors and tool bindings finish work inside your systems.
- [Improve Existing AI](https://auraone.ai/enterprise-intelligence/improve-existing-ai): Evaluations, improvement items, and regression control for a system you already run.
- [Developers](https://auraone.ai/enterprise-intelligence/developers): Enterprise Intelligence API routes under /api/v1. Access on request.
- [Workflow pilot](https://auraone.ai/enterprise-intelligence/design-partners): Bring one workflow. Define its evidence and signed scope.
- [Model Improvement](https://auraone.ai/model-improvement): Find the failures. Build the evidence for the next version.
- [Model Launch Check](https://auraone.ai/models/model-launch-check): Know what passed before you release.
- [Foundry](https://auraone.ai/foundry): From real work to repeatable tasks and evaluations.
- [Pricing](https://auraone.ai/pricing): See how the work is priced.

## Proof

- [Why AuraOne](https://auraone.ai/why-auraone): How we work, and why it holds up.
- [Customer outcomes](https://auraone.ai/customers): Representative program patterns.
- [Case studies](https://auraone.ai/customers/case-studies): Representative designs: the intended workflow and where it stops.
- [Security](https://auraone.ai/legal/security): Where your data lives and who can reach it.
- [Compliance posture](https://auraone.ai/legal/compliance): Security controls, data handling, and compliance documentation.

## Resources

- [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): Inspect what your agent did. Prove it against recorded assertions.
- [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.
- [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): How we work with partners.
- [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): Security controls, data handling, and compliance documentation.
- [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 | Labeled training data with the judgment attached](https://auraone.ai/human-data/annotation): Create, rank, and correct training examples against an explicit task and rubric. Uncertain work goes to review.
- [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. Job detail pages 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