Contact
Reaching the editorial and research team at AI Stack Authority connects professionals, vendors, researchers, and institutional stakeholders to the reference infrastructure behind this site's coverage of the AI stack components, managed AI services, procurement frameworks, and related technology service sectors. The contact function here serves coordination needs across four primary categories: editorial inquiries, listing and directory submissions, research collaboration, and corrections or source disputes. Each category carries distinct handling protocols and documentation expectations.
What to include in your message
Incomplete submissions are the primary cause of delayed or unresolved responses. Structuring a message with the following components increases the probability of routing to the appropriate reviewer on the first pass.
For editorial or content inquiries:
- Subject line identifying the specific page or topic (e.g., "Content — Vector Database Services" or "Factual correction — AI SLA frameworks")
- The URL of the specific page in question
- A clear statement of the inquiry type: correction, addition, dispute, or source submission
- For factual corrections, the specific claim at issue and the named public source supporting the correction — acceptable sources include NIST publications (csrc.nist.gov), FTC regulatory guidance (ftc.gov), CISA advisories (cisa.gov), IEEE standards, or research-based technical literature
- Contact information sufficient for a reply
For vendor or service listing inquiries:
- Legal business name and primary service category (e.g., GPU cloud services, MLOps platforms, or AI observability)
- Geographic service scope — national, regional, or specific states
- A summary of the service offering in 100 words or fewer, without marketing language
- Any relevant certifications, compliance frameworks, or standards adherence (e.g., SOC 2 Type II, ISO/IEC 27001, NIST AI RMF alignment)
For research or data inquiries:
- Institutional affiliation and the nature of the research project
- Specific data points, coverage areas, or sector classifications requested
- Whether the inquiry relates to a published framework — for example, referencing the NIST AI Risk Management Framework (NIST AI 100-1) or the OECD AI Principles provides useful context for scoping a response
Messages that omit the page URL, claim specifics, or source documentation are placed in a lower-priority queue and may not receive a substantive reply within the standard window.
Response expectations
Response timelines vary by inquiry category and documentation completeness.
| Inquiry Type | Standard Response Window |
|---|---|
| Factual correction with source | 3–5 business days |
| Editorial or coverage inquiry | 5–7 business days |
| Vendor or listing submission | 7–10 business days |
| Research collaboration inquiry | 10–14 business days |
| Source disputes or legal notices | 2 business days |
Automated acknowledgment is not guaranteed for all submission types. The absence of an immediate reply does not indicate that a message was not received. Messages lacking the documentation requirements described above may receive a template response requesting additional information rather than a substantive reply.
Source disputes — situations where a named third party contests the accuracy of a citation or the use of proprietary data — are escalated to editorial review within 2 business days and handled according to standard journalistic correction protocol, including public correction notation where warranted.
Additional contact options
For inquiries related to specific service verticals covered across this reference network, the following distinctions apply:
- AI infrastructure and deployment topics — including AI Infrastructure as a Service, on-premises AI deployment, and edge AI services — are handled by the infrastructure editorial desk
- Compliance and security inquiries — including AI security and compliance services and responsible AI services — may reference applicable regulatory frameworks such as the EU AI Act, NIST AI RMF, or FTC algorithmic accountability guidance; including the relevant framework name expedites routing
- Cost and procurement topics — covering AI stack cost optimization, vendor comparison, and open-source vs. proprietary AI services — are managed separately from licensing and compliance inquiries
Researchers working on AI workforce topics may find the AI workforce and staffing services reference page useful context prior to submitting a data inquiry. Inquiries that arrive pre-scoped to a specific page reduce handling time by an estimated 40 percent based on internal routing observation.
How to reach this office
The primary contact mechanism for AI Stack Authority is the web-based submission form, which routes messages to the appropriate editorial, research, or business development queue based on inquiry category selection.
Mailing address for formal correspondence and legal notices:
AI Stack Authority
Editorial Office — Formal Correspondence
[Address available upon written request for legal and institutional parties]
Formal legal notices, DMCA takedown requests, and regulatory correspondence must be submitted in writing and clearly labeled with the nature of the legal matter in the subject line. DMCA notices must comply with the requirements set forth under 17 U.S.C. § 512 and include all statutorily required elements; incomplete notices will not be acted upon.
For time-sensitive corrections tied to active regulatory proceedings — for example, where a page references a specific enforcement action under FTC authority or a CISA advisory that has been superseded — the subject line should include "TIME-SENSITIVE CORRECTION" to trigger priority handling.
Business development and partnership inquiries related to the broader technology reference network, including connections to adjacent verticals in AI contracting or digital transformation services, should be directed through the standard submission form with "Business Development" selected as the inquiry category.
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