voidly
Company

About Voidly

The internet is
worth building for.

Open evidence. Private communication.
Tools for people and agents.

Explore what we build
Voidly: a shared direction, distinct toolsAn illustration of the canonical Voidly chevron suspended within a field of dots. Atlas, Veil, VPN and Voidpay sit around the shared identity. The connecting lines represent a product family, not data collection or live network activity.Voidly AtlasCensorship evidenceVoidly VeilEncrypted messagingA way throughPrivate agent work
Different tools. A shared direction.Product-family illustration

See what’s happening.
Keep a way through.

A blocked network changes what people can see and say. We build tools to understand those restrictions, communicate privately, and put agents to work.

Meet the full app family

Find your way in.

For your everyday internet.

A connection. A conversation. Your choice of tools.

For a story you can back up.

Inspect a record. Follow it to the source.

For the software you’re building.

Private agent work, encrypted messaging and open data.

Voidly

The company behind the tools.

Operated by Ai Analytics LLC in Texas.
Founded by Dillon Parkes.

Sources and licensing

Measurement sources include OONI, CensoredPlanet, IODA and Voidly probes. Citizen Lab supplies test-list context.

Voidly-original incidents, scores and annotations are CC BY 4.0. Raw upstream data keeps its own licenses; OONI raw data and Citizen Lab test lists are CC BY-NC-SA 4.0.

Dataset licenses do not license proprietary application code. Check the terms published with each software project.

Read data and reuse termsRead the methodology
Company, contact and project details

The company background, research context and funding priorities remain on the current About page.

Full company backgroundTransparencyPublished projects on GitHub (opens in a new tab)

Full company background reference

Original reference text retained with its links and context. Historical product, metric and availability statements describe that reference; the current presentation and dated source records above take precedence.

About Voidly

The open observatory of global internet censorship.

Voidly tracks blocked domains and shutdowns across 130 countries — citable incidents, predictive forecasts, and a free, machine-readable API for journalists, researchers, and the AI agents that serve them. We also operate encrypted agent transport and a hosted amount-zero private-session staging flow.

What Voidly Is

Voidly is the open observatory of global internet censorship — an infrastructure company building five products on that observatory layer:

  • Atlas— Predictive network-risk intelligence across 130 countries. Live data, open API, risk forecasting, platform and ISP scoring.
  • Relay— E2E encrypted transport for agents and clients. Forward secrecy, post-quantum key exchange, private coordination.
  • Network— Global measurement infrastructure. 30+ probe nodes, VPN reachability, network telemetry.
  • Apps— First-party clients (VPN, Veil, Mail, Extension) built on the stack.

Every product feeds data back into the infrastructure. The more people use Voidly, the better the data gets.

Who Voidly Is For

  • Developers — building circumvention tools, connectivity-aware apps, or AI agents that need encrypted communication
  • Researchers — studying internet freedom trends with citable, ML-classified incidents
  • Journalists — verifying censorship claims with evidence chains and confidence scores
  • Users in censored regions — who need reliable VPN, encrypted messaging, and accurate data about what is blocked

How We Know the Need

Iran — recurring total shutdowns

During the 2022 Mahsa Amini protests and subsequent unrest, Iran imposed multiple nationwide internet shutdowns. Our incident database documents hundreds of Iran-related censorship events, including WhatsApp, Instagram, and Signal blocking.

Myanmar — persistent platform blocking

Since the 2021 military coup, Myanmar has maintained blocks on Facebook, Twitter, and Wikipedia. Researchers tracking the situation need verified, timestamped evidence — not anecdotal reports.

Russia — expanding censorship infrastructure

Russia's TSPU (technical means of countering threats) has expanded from blocking individual domains to throttling entire protocols. Our network detects VPN blocking, protocol throttling, and DNS poisoning patterns that evolve weekly.

What's missing today

When journalists cover a breaking shutdown, they cite OONI raw measurements or anecdotal user reports. There's no single source providing classified, citable incidents with evidence chains and confidence scores — that's the gap Voidly fills.

How We Engage Users

Probe contributor feedback loop

Community probe operators report blocking patterns from their networks. A leaderboard and trust scoring system incentivizes sustained contribution. Contributors in high-censorship countries provide ground-truth signals that validate our ML classifier.

Researcher & journalist integration

Citable incident IDs (e.g. IR-2026-0142) were designed after feedback from researchers who needed stable references for academic citation. MCP server integration lets journalists query censorship data directly from their AI tools.

Open data as a feedback channel

All incident data is CC BY 4.0. When external researchers find discrepancies, they can file corrections through our API or GitHub. This creates a self-correcting loop independent of our team.

What's next

Structured user interviews with journalists and human rights defenders in target regions. Advisory relationships with civil society organizations. These are planned deliverables for the next funding cycle.

Why This Exists

Existing measurement projects are essential but leave a gap:

  • OONI generates raw probe measurements — doesn't classify incidents
  • CensoredPlanet runs remote DNS/HTTP tests — no real-time alerting
  • IODA tracks network outages — not targeted domain/platform blocking

Voidly bridges this gap: we correlate data from all three (plus our own 30-node Voidly Network) into verified, ML-classified incidents with human-readable IDs (like IR-2026-0142), evidence chains, and confidence scores.

What We Provide

  • 30 globally distributed probe nodes generating proprietary measurement data
  • 317 verified censorship incidents with evidence chains
  • ML classifier v3.3 — 0.71 F1 (LOCO mean across 127 countries — 0.63 on the 61 countries with n≥30. The 0.87 figure often quoted is the MEDIAN, inflated by 46 small-sample countries scoring a perfect 1.0), trained on 4,237 labeled samples
  • Shutdown forecast model — 0.88 AUC (LOCO median on the training holdout; live rolling-30d precision is 0.17 and /v1/sentinel/accuracy flags the model DEGRADED) — 7-day risk predictions across 130+ countries
  • Multi-source correlation: Voidly Network + OONI + CensoredPlanet + IODA
  • Real-time VPN accessibility testing across major providers
  • 10-year historical archive (1.6M records, 130+ countries)

Research & Open Data

Live Stats

Data as of March 2026

38.8M
Live Samples
0.71
Classifier F1 (LOCO mean)
0.63 on the countries with n≥30
30
Global Nodes
130
Countries

Technical

AI Models
  • • Censorship classifier: 0.71 F1 (GradientBoosting, LOCO mean — LOCO mean across 127 countries — 0.63 on the 61 countries with n≥30. The 0.87 figure often quoted is the MEDIAN, inflated by 46 small-sample countries scoring a perfect 1.0)
  • • Shutdown forecast: 0.88 AUC (XGBoost — LOCO median on the training holdout; live rolling-30d precision is 0.17 and /v1/sentinel/accuracy flags the model DEGRADED)
  • • <50ms inference time
  • • Privacy-preserving: trained on aggregate data only
Infrastructure
  • 30 nodes, 6 continents
  • • Self-healing — Tier-0 watchdog reboots stuck probes
  • • WireGuard over UDP (alternate transports in development)
  • • Autonomous loop runs the stack — see live agent status

Apps & Clients

Tools are free. Your anonymous usage data contributes to censorship measurement.

Transparency & Verification

Published Tools
Published tools (MCP server, agent SDK, probe app) are free to use. Censorship data is CC BY 4.0.
github.com/voidly-ai →
Blockchain Experiments
Privacy verification experiments on Base L2. Contracts are live; full proof pipelines are under development.
View contracts →

Operator & Capacity

Dillon Parkes

Founder & Lead Engineer

Built Voidly from the ground up — infrastructure, ML pipeline, Voidly Network, and data ingestion. Also serves as CEO of Nexcom Media Group. Elected public official as Director of Montgomery County MUD No. 238 in Texas.

LinkedIn ↗
OperatorAi Analytics LLC (Texas)
What funding enables
1. Expanded Voidly Network (30 → 80+ nodes in underserved regions)

Expanded measurement coverage in underserved regions (Sub-Saharan Africa, Central Asia, SE Asia). Beneficiaries: researchers and civil society. Metric: coverage in 130 countries, ≤5min detection latency.

2. Faster incident classification pipeline

Sub-30-minute verified incident reports with evidence chains. Beneficiaries: journalists covering breaking censorship events. Metric: median detection-to-published < 30 minutes.

3. Community probe program expansion

Desktop probe app + leaderboard + measurement contribution. Beneficiaries: activists and researchers contributing local measurements. Target metric: 500+ contributors across 50+ countries within 12 months of launch.

Explore the data. Verify the methodology.

All censorship data is open. All tools are free.