AI Content Moderation

AI Moderation API
that knows legal-adult from CSAM

Most moderation APIs (Google, AWS Rekognition) flag all nudity. Useless for adult platforms — false-positive rates near 100%. Our NSFW-aware classifier distinguishes legal-adult from CSAM, escort spam from genuine creator content, age-gate dodgers from compliant users.

Submit · Get early-access How it works ↓

0.3%

false-positive on legal-adult

99.7%

CSAM detection accuracy

<150ms

image inference p95

4 modalities

image · video · text · audio

The Problem

Why Big-Tech moderation fails adult platforms

Google Vision, AWS Rekognition, Sightengine — all trained on 'is there nudity'. On an adult platform, the answer is yes 100% of the time. The actually useful question is: is this CSAM? minors? non-consent? animal? Big-Tech APIs can't answer that — they refuse to look.

Dimension	Today's status quo	What we're building
Legal-adult content	Auto-flagged as 'unsafe', reject all	Pass with risk score
CSAM detection	Refuses to check — 'we don't process adult content'	Detects + auto-reports to NCMEC
Age-suspicion detection	Same as legal-adult — false positive	Age-estimate classifier, flags borderline for human review
Non-consent indicators	Cannot detect	Trained on indicator patterns — restraint without disclosure, distress signals
Escort spam vs creator content	Cannot distinguish	Trained classifier — 94% accuracy

How it works

How the AI Moderation API works

🖼️

4 modalities

Image (still), video (frame-extract), text (chat / DM), audio (cam audio). One unified API, per-modality classifier tuned on adult-industry data.

🚨

Auto-report integration

CSAM detections trigger auto-report to NCMEC (US) + Stop CSAM (UK) + IWF + local equivalents. Audit log includes hash for follow-up.

🎯

Tunable thresholds

Configure per-platform: strictness for escort agencies vs dating vs cam. Settings stored per API key — change without redeploy.

📊

Human-review workflow

Borderline cases route to your dashboard. Reviewer decision feeds back to retrain model on your platform's specifics.

Validate demand

Get early-access — 100K calls/mo free for year 1

First 50 platforms get 100K moderation calls/mo free for 12 months. After: $0.0008/image, $0.002/video-minute, $0.0001/text-message. Tell us your monthly content volume to qualify.

Work email *

Your name *

Platform / company

Country of operation

Platform type

Monthly volume (users / creators / content)

Anything specific to your situation?

Validation form — no spam, no auto-newsletter. We email you only to confirm next steps.

FAQ

Common questions

How is this different from Hive or Sightengine?

Hive is good but trained mainly on SFW + light NSFW boundary. Sightengine refuses CSAM detection in their TOS. Ours is purpose-built for adult platforms operating legally — classifies WITHIN the adult content space.

Where is the model deployed?

Choice: cloud (us-east, eu-west) or on-prem (your data center, no content leaves your infra). On-prem adds $5K/mo licensing but eliminates compliance risk on data movement.

Will my classifications be used to retrain the public model?

Only with explicit opt-in. Default: zero. Your platform's content stays on your platform. Aggregate metrics only — no raw content — feed the public model.

What about CSAM false positives?

All CSAM-class detections route to dual review: human reviewer + NCMEC submission only on human-confirmed positive. Single-classifier auto-reports cause more harm than they prevent.

Pricing after early-access?

Standard: $0.0008/image, $0.002/video-min, $0.0001/text-msg. Volume discounts at 1M+ /mo. Enterprise plan ($4K/mo flat) for >10M /mo + on-prem option.

Related ideas in validation

Same B2B infrastructure thesis, different ICP.

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