Content Moderation
Classify, flag, and filter sensitive or harmful content with transparent, explainable AI moderation workflows.
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Executive summary
Modern platforms handle enormous volumes of multimodal content where nuance, context, and intent determine risk. Traditional moderation systems classify surface features but cannot explain why decisions are made. The Content Moderation solution uses SeekrFlow’s agentic architecture and AI-Ready Data Engine to evaluate text, image, and video inputs against customizable categories with full rationale and auditability. It supports adjustable thresholds, human-in-the-loop review, and secure deployment across cloud or on-prem environments, giving organizations transparent, adaptive moderation that aligns with policy and brand standards.
Problem
Social platforms and media face a flood of text, image, audio, and video content. Traditional moderation tools lack nuance and transparency, forcing teams to patch together point solutions or rely on black-box providers. Human moderators don’t think of 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 bordering on hate speech, or just politically charged?”
How it works
This prebuilt solution delivers real-time content moderation across text, image, and video. Built for flexibility and transparency, it adapts to evolving risks, supports human oversight, and helps teams refine performance without reinventing the wheel.
Multi-format scoring
Evaluate text, images, and video in real time with consistent, reliable scoring.
Risk category tagging
Automatically label content across customizable categories like violence, hate speech, or nudity.
Transparent rationale
Every decision includes concise explanations and optional human review signals.
Flexible controls
Adjust thresholds, handle edge cases, and retrain models over time without reinventing the wheel.
Value
Moderation that actually ships: prebuilt, multimodal, explainable, and measurable. Teams can act safely at scale, prove outcomes, and extend policies without re-platforming.
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
Built on SeekrFlow
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
Capture rationale, output, and flag for review or audit. Moderation data is auto-structured for quick tuning as policies change
FAQs
Who is the Content Moderation AI solution for?
- 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 Organizations seeking explainable moderation at the edge
How is it extensible?
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
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See it in action
See how this AI solution works for your team. Request a live walkthrough with one of our experts and explore how it can adapt to your unique workflows and data.
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