How it works
Why AI needs a network like yours
What AI labs need, what your network gives them, and what happens between. Six sections, one path through the diagram. Read in order, or jump where useful.
01 / The bottleneck
The data centers AI calls home are being blocked
Foundation models are excellent at reasoning over what they were trained on. They are weak at one thing: real-time access to the live, public web at the speed and scale modern AI applications now demand.
The problem isn't the model it's the internet path
When a user asks an LLM to verify a fact, summarize a news article, or check a price, the model needs to actually visit the live web – not a stale index, not a cached copy. Centralized data-center IPs hit aggressive rate limits, get blocked at the edge, and route through a handful of geographies.
A globally distributed, consent-based residential network removes the bottleneck at its source. Requests arrive looking like the traffic the public web was built to serve.
01
Geographic concentration
Most data-center IPs live in five regions. The web you actually want to read does not.
02
Rate limits and blocks
Sites legitimately throttle data-center traffic — even when the request is read-only and benign.
03
Latency under load
Centralized fetch queues spike when many models query at once. Distributed nodes don’t share a queue.
02 / The system
Four parts & one direction of flow
The whole product fits on one diagram. Demand on the right, supply on the left, a consent-gated routing layer in the middle.
Partner node
An opted-in source category contributing supply
Gateway
Consent check, route, audit. The only point of control.
LLM endpoint
A vetted partner consuming routed capacity.
Active route
A live request in flight. Inactive routes shown dashed.
03 / The request
One request four steps
What actually happens between an LLM saying “fetch this URL” and the response coming back. Stepped through in real time, with the metrics that matter at each stage.
T+0 ms · LLM partner emits a request
A foundation model needs live web
An LLM partner’s pipeline issues a request for a specific URL — a news page, a product listing, a documentation site. The gateway accepts the job and tags it with a workload class and target geography.
Workload class
read only
Target geo
EU tier 2
T+38 ms · Gateway routes the job
Consent checked, nodechosen
The gateway verifies the job is eligible (legal target, age-appropriate destination, supported workload), then selects an active opted-in node with matching geography and available capacity. No personal data is read.
Consent state
opted -in
Eligible nodes
11.2 M
Selected
node -1rndm
T+220 ms · Node fetches public URL
A single HTTP request & nothing else
The node makes one outbound, public, read-only request. Exactly the kind of traffic the page was built to serve. No local files are touched. No cookies are read. No data is stored on the device. The request leaves no footprint.
Method
GET
Bytes
14.2 kb
Local writes
0
T+340 ms · Response delivered, revenue accrued
Logged, paid, visible to you
The response returns to the LLM partner. While the job is non-disclosable to you, revenue accrues, it is summed up and shown in your dashboard with daily updates.
Total latency
340 ms
Revenue
$0.0014
04/ The guarantees
What the system does & what it doesn't
Most trust questions about residential networks resolve into the same shape: “what can it touch, and what can it never touch?” Here is each side, plainly.
- Never
What it does not do
X
Read personal data. No access to local files, contacts, photos, cookies, or browsing history.
X
Inspect or decrypt traffic. The node is a network conduit, not an observer.
X
Run on non-consenting users. Opt-in is enforced at the Module layer, not the marketing layer.
X
Route to illegal or age-inappropriate destinations. Targets are vetted before traffic flows.
X
Persist anything on the device. No cache, no log file, no leftover entries.
X
Affect device performance. Capped to a small fraction of unused bandwidth and idle CPU.
+ Always
What it guarantees
✓
Explicit, revocable consent. Users opt in, see what they agreed to, and can stop at any time.
✓
Real-time anomaly blocking. Suspicious traffic is stopped at the gateway, not after the fact.
✓
KYC on every demand-side counterparty. No unknown buyers. No anonymous resale.
✓
Independent pentesting. Continuous testing by Blaze Infosec; results reviewable under NDA.
✓
GDPR & CCPA compliant by design. The system is built so the controls already pass.
✓
Full reports visible to you. Everything regarding monetizable connections logged and surfaced in your dashboard.
05 / The dashboard
What you see, the moment traffic flows
The partner portal or dashboard is your key to the AI Gateway network. Offering setup tutorials, all the modules and performance monitoring through various layers.
06 / The proof
Why partners choose us
The market has trust baggage. We carry the standards that say we don’t. Below: the network at scale, then the attestations behind it.
Industry experience
7 years
Operating consent-based residential networks since 2019
Users maintained
100 M+
Opted-in devices across the partner network today
Countries connected
190 +
Real residential coverage across every region
A+ provider
Vetted to the standards an industry leader demands of its suppliers.
Pentested by Blaze
Penetration-tested by independent security specialists.
AMTSO
Testing practices aligned with the industry's anti-malware standards body.
EWDCI
Committed to the industry's standard for ethical, consent-based web data.
Privacy & Security
Compliant with the world's strictest data protection laws.
ANSI/TIA-942-B
Data center infrastructure engineered to audited reliability tiers.
NIST 800-53
Security controls aligned with U.S. federal-grade requirements.
ISO/IEC 27001
Information security managed to the global enterprise standard.
ISO 14001
Environmental responsibility built into how we operate.
ISO 50001
Energy use measured, managed, and continuously improved.
Fit assessment · By invitation
You read the system. Now route, through it
Share a few details about your product and network potential. If there’s a fit, we architect your role in the AI value chain together – then give you access to your module and dashboard.
