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Scale your product. Not your risk.
DeepCleer moderates prompts, generative AI outputs, and user content in real time while detecting account-level abuse. Our platform calibrates to your policy and keeps tuning as abuse patterns shift, so you catch more violations without over-blocking legitimate content or users.
See the results before you commit.
TRUSTED BY INDUSTRY LEADERS
A shared taxonomy lets your team apply policy consistently.
Check prompts and generated content in real time. Red-team the model before it goes live.
Moderate user content across seven content types, with controls configured to your policy.
Connect content and behavioral signals to detect repeat offenders, promotion abuse, scams, and attempts to move users off-platform.
Keep what works. Add DeepCleer where it improves coverage or control.
We use your feedback to refine rules, thresholds, and detection, then show you what changed and how performance improved.
Mark false positives and missed detections in the console.
We adjust rules and thresholds for your account to match your policy.
We use your feedback and recurring errors to improve detection for your use case.
We re-score the same cases so you can see exactly what changed.
Set category-specific thresholds using severity and confidence. We tune, validate, and measure improvement without requiring an application rebuild.
Trace what was evaluated, which policy triggered, and what action followed. Route grey-area cases to review rather than blocking by default.
2,000+ risk labels across seven content types. Pre-built profiles for GenAI, dating, social, ad tech, gaming, and marketplaces.
Infrastructure across North America, Europe, and APAC supports regional data handling and low-latency processing. Hourly updates respond to new bypass techniques.
We run your content through DeepCleer using your policy and show you precision, recall, and false positives by category. We keep tuning until you’re satisfied with the results, then you decide whether to move forward.
