auraone.ai valid

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.

For agents: Human data provider for AI teams: expert judgment, speech, physical demonstrations and enterprise workflow automation with review and evidence. Contact-based sa

expert data for aihuman dataai training datavoice ai dataexpert ai qualityenterprise workflows

Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-20T22:23:46.333Z. Cached copy · Source on auraone.ai

# 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):
…

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Machine-readable: GET /v1/resolve?q=auraone.ai · GET /v1/domain/auraone.ai · this page as Accept: application/json or text/markdown · MCP lookup_domain

Automatically discovered from public files. Inclusion does not imply endorsement or publisher participation.

Claim my listing on Agent Web Map for auraone.ai:
1. POST https://agentwebmap.com/v1/sites/auraone.ai/claims and keep claim_id and claim_secret private.
2. Publish the proof: add the line "AgentWebMap ownership: <token>" (token from step 1) to https://auraone.ai/llms.txt, or use the DNS, meta-tag or well-known method the response describes.
3. POST https://agentwebmap.com/v1/sites/auraone.ai/verify with {"claim_id": "...", "claim_secret": "..."}.
4. Save the api_key from the answer; it manages the listing (PATCH https://agentwebmap.com/v1/sites/auraone.ai).
MCP equivalent: tools begin_ownership_claim, then verify_domain, at https://agentwebmap.com/mcp. Docs: https://agentwebmap.com/docs#verify

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