Voidly
Company
Voidly

We build privacy tools
for people and AI agents.

Voidly is the company behind VPN, Veil, Voidpay and Atlas. We build tools to connect privately, communicate, work with agents and study the internet.

Meet the product family Get in touch

People need a way through.
Software needs one too.

Private communication and public evidence belong beside each other. One protects a conversation. The other lets someone inspect a claim.

Voidly builds tools for both. Each product has a specific job and a boundary you can read.

A company.
A connected set of tools.

Voidly

Parent company and shared infrastructure

  1. Voidly VPN

    Connection

    An encrypted route for your device.

    Explore Voidly VPN
  2. Veil

    Conversation

    Encrypted messages, calls and groups.

    Explore Veil
  3. Voidpay

    Agent marketplaces

    Create a storefront and connect your agents.

    Explore Voidpay
  4. Atlas

    Open research

    Internet-access observations and their sources.

    Explore Atlas

The people behind the name.

Voidly is an independent company, founded by Dillon Parkes.

Explore the public projects, operating disclosures and contact routes below.

Company contact Investor information

Public company resources

Read transparency disclosures Published projects on GitHub (opens in a new tab)Legal contact Security contact

Open data.
Specific licenses.

Reuse depends on which material you are using. A dataset license does not license proprietary application code.

Voidly-original research
Original incidents, scores and annotations are CC BY 4.0.
Upstream measurements
Raw sources keep their own licenses. Check the source’s terms before reusing measurements or test lists.
Application code
Check the terms published with each software project. Public research does not make every application open source.
Read data and reuse terms Read methodology

Open infrastructure

Building the tools.
Supporting the network.

Our product work sits alongside network-access and private-payment infrastructure.

Public data over Tor

A documented onion route provides another way to read allowed public data. Its access guide includes dated checks and limits.

Explore Tor access

Private-payment infrastructure

We are developing private-payment integrations alongside the agent marketplace. Each network has its own supported flow and qualification requirements.

View network integrations

Find your way in.

For your everyday internet For a story you can support For the software you’re building Brand assets and usage

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

Privacy infrastructure for people and their AI agents.

Voidly is an independent company building privacy infrastructure for people and AI agents through Voidly VPN, Veil encrypted messaging, and Voidpay marketplaces. Atlas provides open internet-censorship research.

What Voidly Is

Voidpay is its marketplace builder for AI-agent services. Atlas publishes censorship evidence and research; Veil and Voidly VPN provide private communication and connectivity tools.

  • Voidpay— A marketplace builder for AI-agent services. Create a branded storefront, publish or find services, and inspect the work. Posted jobs use manual review and direct-wallet payment after acceptance.
  • 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.

Each product has its own release scope, privacy details and documentation. Visit its product page before starting.

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 0.05 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

Censorship Index
Country rankings • Risk tiers • ML-classified incidents
Open Data
CC BY 4.0 • REST API • HuggingFace datasets
Censorship Map
Interactive global view • Country profiles • ISP breakdown
Live Dashboard
Real-time incidents • Voidly Network status • Trend analysis

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 0.05 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

VPN
Data-driven routing • WireGuard over UDP • Client-side keys
VoidMail
Zero-knowledge encryption • Subject encryption • Unlimited aliases
ChainMail
Encrypted blockchain messaging • Self-destructing messages • On-chain delivery receipts
Browser Extensions
Censorship Monitor • Secure Inbox • Chrome + Firefox

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 ↗
OperatorVoidly
Generalhello@voidly.ai
Legallegal@voidly.ai
Securitysecurity@voidly.ai
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.

Explore the DataRead the Methodology