Press & reference
The facts behind the work.
A concise introduction to AI Analytics, its origins, and the projects you can inspect. Use this company background and the brand assets when writing about the work; the source links provide the detail.
Company background & biography
Founder biography
Dillon Parkes is the builder and researcher behind AI Analytics, founder of Voidly, and co-founder of Nexcom. His work spans public-data infrastructure, privacy tools, publishing systems, and applied cryptography.
About AI Analytics
AI Analytics develops intelligence infrastructure, privacy technology, and distributed systems. Its work includes the Federal Data Hub, source-linked public-accountability collections, and Swarm SDK's encrypted communication architecture. Ai Analytics LLC operates Voidly, the censorship observatory and privacy platform founded by Dillon Parkes. Parkes also co-founded the separately operated Nexcom publishing network with Galen Kahlenberg in 2024. Research, technical methods, and project interfaces are published at ai-analytics.org.
Identity and roles: Voidly founder and operator and Nexcom leadership. Nexcom is operated by NEXcom Digital, Inc.; its ownership disclosure identifies both co-founders.
Project reference
External project figures were checked on . Catalog and writing counts come from this site's build. Follow the linked source for current scope and availability.
| Project | Scope | Source |
|---|---|---|
| Voidly | Censorship evidence, privacy applications, and agent infrastructure. 38M+ indexed measurements; 130-country public index. These describe the record, not physical probe coverage. | Current public snapshot |
| Federal Data Hub | Keyless access to government, regulatory, SRO, and derived datasets. 229 entries in the local catalog. API coverage and refresh cadence vary by source. | Catalog & live coverage |
| Nexcom | A centrally operated local and specialist publishing network. 78 publications across 62 places and regions. Place names describe edition focus, not staffed offices. | Network directory |
| Swarm SDK | Encrypted communication architecture for autonomous systems. Proprietary implementation; public architecture and historical engineering notes. No public certification or field qualification established. | Architecture & scope |
| Accountability datasets | Source-linked collections about institutions, ownership, law, and oversight. 16 datasets in the published registry, with individual scope and reuse terms. | Machine-readable manifest |
| Writing | Engineering notes, methods, and research from across the projects. 526 articles in the writing index. Historical figures belong to their publication dates. | Writing index |
Brand assets
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Attribution & source terms
Cite the record you used.
Include the project or dataset name, its URL, the relevant release or publication date, and your access date. For an underlying government or third-party record, retain the original source citation.
The data standards explain evidence handling. The corrections policy provides a route to challenge a factual error.
Access and reuse are distinct.
Voidly-original annotations, scores, and incidents have their own license; upstream measurements retain their source terms. Check Voidly's data terms and each accountability dataset's license before reuse.
Reuse terms vary by source. US federal employee-authored works are generally public domain under 17 U.S.C. § 105, while non-federal and SRO source material retains its source terms. AI Analytics-authored metadata and normalization are CC0 only where explicitly stated and applicable.
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Send the subject, the project you're covering, your outlet, and your deadline. We can help locate the relevant public material and clarify what a source or system does establish.