Content Moderation

Problem

Social platforms, media outlets, and user-driven communities face an ever-growing stream of content across text, image, audio, and video. Traditional moderation tools struggle with nuance, lack transparency, and often require teams to stitch together point solutions or depend entirely on black-box providers.

Human moderators don’t think in binary flags—they ask questions like:

• “Is this clip harmful based on what’s being said, even if the visuals are benign?”
• “Does this image contain suggestive content that could violate brand guidelines?”
• “Is this post borderline hate speech, or just politically charged?”

These are multimodal, inference-heavy decisions, and most systems can’t handle them reliably or explain their reasoning.

What it does

This prebuilt solution supports real-time content scoring across text, image, and video. It evaluates each submission against customizable risk categories and returns:

• A Safe / Unsafe determination
• Category-level tagging (e.g., violence, hate speech, nudity)
• Concise rationale for the decision
• Optional human review signals or override confidence

The system is designed for flexibility and transparency, so teams can adjust thresholds, iterate on edge cases, and retrain over time — without reinventing the wheel.

How it works (Powered by SeekrFlow™)

This solution is built using SeekrFlow’s agentic and modular architecture:

Inference Layer: Combines multiple domain-specific models (text, image, audio) for expert-level classification

Prompt Optimization: Supports prompt iteration or structured fine-tuning to refine results on edge cases

Deployment Options: Runs via Seekr Cloud, Helm, on-premises, or as an appliance

Evaluation-Ready: Captures rationale, raw model outputs, and flags for human review or audit logging

Moderation examples are automatically structured using Seekr’s AI-Ready Data Engine, enabling lightweight tuning and retraining as policies evolve.

Ideal users

• Trust & Safety Teams moderating user-generated content
• Compliance and Legal Teams ensuring brand and regulatory standards
• Platform and Product Owners managing moderation pipelines at scale
• Government or Media Orgs seeking explainable moderation at the edge

Built on SeekrFlow

AI-Ready Data Engine: Structures multimodal content for scoring and fine-tuning

Agent Framework: Coordinates moderation across multiple expert models

FileSearch / VideoSearch: Retrieves structured context for audit and re-evaluation

Evaluation Interface: Logs rationale, allows scoring overrides, and supports policy testing

SDK & UI: Access the system programmatically or via dashboard

Value

• Scores content across modalities, not just text
• Provides category-level decisions with supporting rationale
• Supports prompt iteration and lightweight fine-tuning
• Deployable in secure or sensitive environments (e.g., Rumble Cloud, on-prem)
• Transparent and auditable—no black-box moderation

Where you can extend it

This solution is fully extensible via SeekrFlow’s UI, SDK, or pipeline configuration:

• Fine-tune to reflect your internal thresholds or policy language
• Add human review loops or escalation paths
• Integrate appeal workflows or dashboards
• Chain to external CMS, notification, or case-tracking systems

Solution traits

Prebuilt Solution | Multimodal | Agentic | Explainable | Evaluable | Deployment-Ready | Extendable

Takeaway

This isn’t a moderation API. Our Content Moderation solution is a reasoning-capable system that helps you evaluate content, not just classify it. Built on SeekrFlow, it gives organizations full control over how content is scored, how decisions are made, and how the system adapts over time.