Who it's for · AI companion platforms
Serious content controls for companion AI, across every tier you operate.
AI companion products live or die on trust boundaries: what the experience will and won't do, for whom, and how provably. AetherLab enforces your content policy in production, text and image, SFW and adult tiers alike, and produces the evidence your payment and platform relationships depend on.
Consumer intimacy is a high-consequence content surface.
Companion platforms operate closer to their users than any other consumer AI, so policy failures are more damaging, more visible, and more likely to reach a payment processor's desk. This segment deserves first-class controls, not a generic moderation API.
Policy is nuanced
What's permitted differs by tier, persona, jurisdiction, and user verification status. Fixed category lists can't express that; bespoke policies can.
Images raise the bar
Image generation is often the product's centerpiece and its highest-risk surface. Visual policy needs the same enforcement rigor as chat.
Approvals ride on it
Payment processing, app distribution, and model-provider terms all hinge on demonstrated content control, backed by evidence.
Your policy line, held in production.
Absolute prohibitions
The non-negotiable layer
Zero-tolerance categories (any content involving minors, non-consensual depictions of real people, and comparable absolute prohibitions) are hard-blocked in scanning and in production, regardless of tier or persona.
Tiered boundaries
SFW and adult tiers, cleanly separated
Policies encode what each tier permits for verified adult users and where every tier stops, so the experience you designed is the one that ships, on both text and image.
Adversarial pressure
Tested the way users push
AdversarialScan probes your system with multi-turn, persona-driven, and image-based attacks, because companion users are the most persistent red team there is.
Compliance evidence
A record for your reviewers
Assessment findings, enforcement logs, and remediation history assembled in an Evidence Pack, ready when a processor, bank, or platform partner asks.
This is production infrastructure, not a promise: AetherLab screens 150,000+ AI checks per day across text and image, and has been chosen over Amazon Bedrock Guardrails and Hive AI in head-to-head evaluations in high-stakes workflows.
Common questions from companion platforms.
- Does AetherLab work with adult-content AI companion platforms?
- Yes, and professionally. Adult AI experiences are a legitimate, regulated business with some of the most demanding content-control requirements in consumer AI. We enforce the platform's own policy line, what is permitted for verified adult users and what is prohibited under any circumstances, with the same rigor we bring to any high-stakes workflow.
- What does "bespoke policy" mean for a companion platform?
- Your written content rules become enforced checks: prohibited categories that must never be generated, boundaries that differ between SFW and adult tiers, persona rules, and jurisdiction-specific restrictions. Customers configure up to 225 custom policy rules, and pricing is flat regardless of count.
- Can this satisfy payment-processor and platform reviews?
- That is a core use case. Processors and platform partners increasingly require demonstrated content controls before approving or continuing a relationship. An AdversarialScan assessment plus production guardrail logs, documented in an Evidence Pack, gives your compliance conversation a factual record instead of assurances.
- Do you moderate images as well as chat?
- Yes. MediaGuard screens generated images against visual policies with the same policy model as text. That matters for companion products, where image generation is often the highest-risk surface. Checks run in real time in production, and every verdict carries a threat score and rationale you can log.
- How do you handle the hardest categories?
- Zero-tolerance categories (any content involving minors, non-consensual depictions of real people, and other absolute prohibitions) are treated as hard-block break-goals in both scanning and production enforcement. This layer is non-negotiable regardless of a platform's permitted-content tier.
Hold your policy line, and prove it.
Tell us about your tiers, your policies, and the reviews ahead of you. We'll show you the enforcement and the evidence.
Ask about the Evidence Pack
Leave your email and we'll walk you through what an Evidence Pack contains for your use case: severity-scored findings, business-impact mapping, and the approval record.