Voidly — Censorship Intelligence Platform

Making internet censorship measurable, verifiable, and actionable.

Operated by Ai Analytics LLC · Founded by Dillon Parkes

The Problem

Internet censorship is expanding globally, yet remains difficult to measure systematically. Over 4 billion people live in countries where internet freedom is restricted, and the situation is worsening year over year.

Existing measurement networks — OONI, CensoredPlanet, IODA — produce raw technical data that requires specialized expertise to interpret. There is no single platform that aggregates these sources, applies machine learning classification, and makes the results accessible to journalists, researchers, policymakers, and civil society organizations in a structured, citable format.

What Voidly Does

  • Operates 37+ probe nodes testing 62 domains every 5 minutes across 6 continents
  • Ingests from OONI (8 test types), CensoredPlanet (DNS + HTTP blocking), and IODA (outage alerts) on a 6-hour cycle
  • ML classifier (99.8% F1 score, internal evaluation) auto-classifies censorship incidents with confidence scores and evidence chains
  • 5,700+ verified incidents with 33,600+ evidence items across 127+ countries, each assigned a human-readable ID for citation
  • 10-year historical archive of 1.6 million records from the OONI corpus
  • Free public API, MCP server (83 tools for AI integration), bulk exports (CSV, JSONL), RSS/Atom feeds, and webhook-based real-time alerts
  • All data released under CC BY 4.0

What Exists Today

Voidly Network

37+ nodes, 62 domains, every 5 min

Incidents Database

5,700+ documented, 33,600+ evidence

Public API

REST endpoints, bulk export, webhooks

AI Integrations

MCP server, OpenAI action, HuggingFace datasets

Predictive Model

7-day shutdown risk forecasting

Country Coverage

127+ countries, 10 years of data

What Funding Enables

1. Expanded Voidly Network

Scale from 37 to 80+ nodes with priority deployment in underserved regions (Sub-Saharan Africa, Central Asia, Southeast Asia) where censorship measurement gaps are most critical.

2. Faster Incident Classification

Reduce time-to-verified-report to under 30 minutes. This requires higher-frequency ingestion, improved ML pipeline throughput, and automated evidence correlation across all three data sources.

3. Community Probe Program

Launch a volunteer-run Voidly Network targeting 500+ contributors in 50+ countries within 12 months. Desktop app (macOS, Windows, Linux) already built with auto-update infrastructure. Funding enables onboarding, documentation, and community management.

Team

Dillon Parkes — Founder & Lead Engineer

Also CEO of Nexcom Media Group, board director of Warriors Fund, and elected public official (Montgomery County MUD No. 238, Texas).

LinkedIn

Links

Website: voidly.ai

Report: voidly.ai/report

API Docs: voidly.ai/api-docs

GitHub: github.com/voidly-ai

Contact: hello@voidly.ai