AI for trust and safety teams. Moderation that actually sees the harm.
Detect harassment, hate speech, deepfake scripts, and coordinated manipulation through an unrestricted moderation API. Plus generate the labeled training data your in-house classifier learns from. One API, severity tiers, reason codes, and audit logs on every decision.
waiting for prompt…
What you can moderate or train on.
Harassment & hate speech
Multilingual harassment, coded slurs, and dialect-drift insults. The categories most providers either won't analyze or won't generate examples of. Detect them at the API edge, or build the labeled corpus your classifier learns from.
Jailbreak & prompt injection
Catch jailbreak attempts, multi-turn drift, and indirect injection hidden in PDFs or pasted email. Or generate the corpus your detector trains on. Both flows run through the same API.
Unsafe content (severity-tiered)
Self-harm cues, violence, weapons, drugs, and other unsafe categories. Five severity tiers per category, with the top tier gated behind audit-logged keys. Analyze in production or generate labeled examples for training.
Deepfakes & coordinated manipulation
Voice-clone scripts, astroturf templates, viral-narrative variants, brigade patterns. Detect them in your platform, or generate the training set your detection model learns from.
Moderate the content others refuse to read.
Hand a provider-default API a coded harassment comment and ask it to label severity. It refuses to engage with the content at all. Same story for jailbreak attempts and deepfake scripts. T&S teams end up writing brittle keyword matchers while their AI stays useless on exactly the content that needs review. Our abliteration model analyzes it, returns a structured decision, and logs the reasoning for audit.
[redacted · regional ingroup slur with imperative threat]
I can't engage with content that contains harassment or slurs. Please rephrase your request.
Reasoning behind every decision.
Every classification ships with the reason the model assigned the label: which phrase triggered it, which policy clause it matched, why the severity landed where it did. Stream it to your moderation queue for human review, log it for regulators, or feed it back into your training set.
[redacted · regional ingroup slur in imperative form, es]
Every category your moderation team tracks.
Harassment, hate speech, non-consensual imagery, violence and weapons, self-harm cues, jailbreak attempts, prompt injection, deepfake scripts, coordinated manipulation, child safety, brand impersonation. Five severity tiers per category. Top tier gated behind audit-logged keys.
Free tier. Pay-as-you-go. Enterprise.
Standard API rates. Per-surface key scoping so moderation and training jobs stay isolated. Custom retention and decision-log streaming on Team and Enterprise.
Try the model that doesn’t say no.
Free tier. OpenAI-compatible. Policy Gateway when you scale.