Action
850+ million people experiencing what was intended
Content Moderation
Custom solutions built around your policies, your content, and your workflow.
Your policies, written your way. Use your terminology, your examples, your edge cases. Or, start from our policy library and tweak from there. Updatable in minutes. No engineering needed.
Pick from the best AI models to moderate and label any content type, individually or in combination: audio, video, text, and image. Works across 150 languages (and counting).
Eliminate false positives without losing coverage. First, run a high-recall pass. Then, high-precision. Or, platform-wide rules, then per-product or per-country policies. Custom outputs feed any downstream system.
Account Moderation
Account-level decisions, made fast enough to stop attacks in progress.
Catch the actor, not just the action. Moderate on whole-accounts, based on behavior, content, and metadata. Catch ban evasion, coordinated rings, account takeovers, bots, spam, and fraud.
AI that automatically re-trains from your best moderators and analysts daily, so the new tactic they caught yesterday is in production and automated today. You control accuracy vs automation tradeoffs.
Reduce operational overhead. When bad actors attack, your custom AI model handles it. No need to scramble data scientists or an army of mods to work through attacks.
Secure & Compliant
The infrastructure your security team won’t flag and your T&S team won’t hate.
SOC 2 Type II Certified
99.5–99.99% uptime SLAs
GDPR Compliant
Stats
Reduce moderation overhead by 84% with Musubi’s AI working in concert with your Trust & Safety team.
64%
More malicious accounts banned
89%
Fewer false positives and ban appeals
500x
Faster decisions and less exposure
FAQs
Nope. Not unless you want us to.
Your decisions train your model. They never flow into a shared model anyone else uses. Cross-customer training is off by default and never on without an explicit signed agreement.
Easily.
We sit alongside in-house tools and have pre-built integrations with NVIDIA NeMo Guardrails, Tremau, and Checkstep. We don’t ask you to rip anything out.
Depends on the engine.
LLM-based content labeling
Median around 1 second, sub-100ms on dedicated low-latency setups.
Account-level ML
A few seconds, typically. Trained daily on your moderation history, so the latency carries the weight of a full account assessment, not just a single post.
Yes. Most customers start with one.
The two are stronger together — for example, account-level signals inform content decisions and vice versa — but neither requires the other.
Content moderation
Works on its own
Useful if you want LLM-based moderation against your policies.
User moderation and behavioral fraud detection
Works on its own
Useful if you want account-level signals.
Auto-scaling on managed deploys. Spillover capacity for traffic bursts.
We’ve handled platforms running 50M decisions/month and burst events from feature launches without manual intervention.
