Identity Verification
IDGovernment-issued ID verification at signup. Every account is tied to a real, named person before any work is possible.
- Anonymous signups
- Synthetic identities
- Anonymous signups
- Synthetic identities
Every paid engagement on Nexertise clears all eighteen. If any one fails, the engagement is rejected and the budget unit is refunded.
Each layer is independent and auditable. A single failure rejects the engagement and refunds the budget unit.
Government-issued ID verification at signup. Every account is tied to a real, named person before any work is possible.
Banned accounts cannot return. Multiple independent signals are checked at signup; matches are rejected.
A persistent standing record follows every account across sessions. Quality issues reduce earning power and access — permanently.
Engagement volume and content access are rate-limited per account. Gating happens before any content is delivered.
Live biometric checkpoints during a session, bound to the device’s hardware authenticator. No software path around it.
Content is delivered in a form that resists automated extraction. Scraping and copy-paste return nothing useful.
Each delivery is uniquely fingerprinted per account. Any leak is forensically traceable back to its source.
Continuous, foreground attention is required. Inattention, multitasking, and background sessions do not count toward completion.
Response and interaction timing are continuously analyzed. Patterns inconsistent with genuine human attention are flagged in-session.
Account behavior is continuously profiled across sessions. Hand-offs to automation — even mid-session — are detectable.
A comprehension check on the actual content, with a high pass bar. Questions and ordering vary per professional, per session.
Submissions are scanned for signals that the content did not originate with the reviewer. Detection auto-flags the engagement.
The submission is checked for genuine engagement with the specific pitch under review. Generic responses fail.
Multiple authorship signals are evaluated on the submission. A reviewer’s own voice doesn’t trigger; machine-pasted output does.
A dedicated AI-text classifier independently evaluates the submission. Verdicts are logged and audited.
All in-session signals fold into a single risk verdict. Borderline cases route to human review; high-risk cases are auto-rejected and the budget unit is refunded.
Every submission is manually reviewed by our team before payment is released. The final human checkpoint catches what automation misses.
Budget escrow, atomic operations, and automatic refunds. Funds release only when all eighteen checks pass — otherwise the unit is returned to the advertiser.
Every charge on Nexertise lists which of the eighteen layers it cleared. Trust isn’t a feature — it’s the way the system is built.