Build an intelligent moderation decision system with LLM reasoning, strategy execution, and process control to close the loop from content understanding to moderation action.
Core Capabilities
Six core capabilities to build an intelligent moderation decision hub
Multi-step Moderation Reasoning
Performs step-by-step analysis on complex content and combines model outputs for explainable moderation decisions.
Automated Moderation Decisions
Automatically handles allow, block, and human-review actions with dynamic risk-level routing to improve efficiency.
Multi-model Orchestration
Coordinates lightweight and large models in a pipeline of prefiltering, multimodal understanding, and decisions.
Image-text Fusion Decisioning
Applies moderation policies on image-text combined risks based on multimodal model outputs.
Human Review Assistance
Provides review suggestions and risk explanations with highlighted key signals to boost human efficiency.
Configurable Moderation Workflow
Supports custom policies, workflow chains, label priorities, and rule controls for flexible governance.
Technical Highlights
Leading Agent architecture for an intelligent moderation closed loop
Agent Decision Framework
Reasoning-based architecture for intelligent moderation decisions.
Multi-model Orchestration
Flexible scheduling of heterogeneous model capabilities.
Explainable Results
Structured and traceable evidence for each moderation outcome.
Complex Policy Configuration
Supports customizable rules across diverse business policies.
Use Cases
Designed for enterprise-grade content governance needs
Large-scale Content PlatformsHigh-risk Moderation ScenariosRefined Content GovernanceEnterprise Moderation Systems
Architecture Positioning
AI Agent as the decision layer of moderation systems
Content Input Layer
Text / Images / Audio & Video / Web Pages
Model Understanding Layer
Lightweight prefiltering + deep semantic understanding by large models
AI Agent Decision Layer
Policy Execution / Process Control / Intelligent Decisioning
Allow
Block
Human Review
AI Agent
acts as the decision layer of moderation systems: it receives model outputs, executes policies, controls process flow, and forms a closed loop from understanding to automated decisions.