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Filter: Media

AI-powered content moderation at scale — detect hate speech, nudity, violence, misinformation, and policy violations.

Live system: Multi-modal content moderation at scale with policy-based enforcement. AI agents specialize in text, image, and video analysis with configurable rule engines.…

99.2%
Detection Rate
100x faster
Review Speed
< 2%
False Positive
15+
Coverage
Free 20-min discovery + 48h ROI audit Production-grade, not a demo5 weeks to first value
✓
✓
✓
Detection rate >99% • Conservative thresholds for sensitive categories • Borderline flagged
Why this vs status quo
Do nothing
99.2% lost
Manual Media
Build in-house
6–12 months
Hire + maintain
Filter
100x faster
Weeks, not months
Text Moderation • Image Analysis
Save ~10×

What ships

  • Text Moderation — NLP-powered detection of hate speech, harassment, spam, and …
  • Image Analysis — Computer vision for nudity, violence, graphic content, and p…
  • Video Analysis — Frame-by-frame video moderation with audio transcript analys…
  • Misinformation Detection — Fact-checking and credibility scoring for news and claims us…
  • Appeal Management — Automated appeal handling with human-in-the-loop escalation …
  • Policy Management — Configurable policy rules with severity tiers and automated …

Human signs every critical step • Audit trail included

Sample output & architecture

Filter — Production Blueprint
Dated 18 Aug 2026 • #FIL-2026-041
Detection Rate: 99.2%Review Speed: 100x fasterFalse Positive: < 2%Media
Agents
Text Agent • Visual Agent • Audio Agent
Stack
Azure AI Foundry, Azure Content Safety, Azure AI Vision, Python
Workflow preview
1. Content Ingestion2. Pre-Processing3. Multi-Modal Analysis4. Policy Evaluation
Data flow: Content Ingestion → Pre-Processing → Multi-Modal Analysis → Policy Evaluation → Decision Making → Action Execution → Appeal Handling
Azure AI Foundry + LangChain • Azure AI Foundry provides multi-modal analysis capabilities.v1.0 • Audit trail

Why Azure AI Foundry + LangChain wins

Azure AI Foundry provides multi-modal analysis capabilities. LangChain orchestrates complex moderation workflows with policy-based decision logic.

Alternatives: Google Cloud Vision AI + Custom ML, AWS Rekognition + LlamaIndex

How Filter works — Instant to first value

Content Ingestion → Pre-Processing → Multi-Modal Analysis → delivery. Full 8-step trail collapses below.

01 • Instant
Content Ingestion
Receive content from multiple channels and formats.
02 • < 5 seconds
Pre-Processing
Normalize and prepare content for analysis.
03 • < 10 seconds
Multi-Modal Analysis
Run content through specialized analysis agents in parallel.
Full 8-step audit trail
1
Content Ingestion • Instant
Receive content from multiple channels and formats.
2
Pre-Processing • < 5 seconds
Normalize and prepare content for analysis.
3
Multi-Modal Analysis • < 10 seconds
Run content through specialized analysis agents in parallel.
4
Policy Evaluation • < 2 seconds
Map detected signals to applicable policies and severity levels.
5
Decision Making • < 5 seconds
Make moderation decision based on policy rules and confidence scores.
6
Action Execution • Instant
Execute moderation actions (approve, warn, remove, escalate).
7
Appeal Handling • 1-24 hours
Process user appeals with additional review and context.
8
Learning & Tuning • Ongoing
Continuous model improvement from decisions and feedback.

Which Media use case is yours?

Tap your model — see the exact hinge we test.

Social Media Platforms

Moderate user-generated content at scale across text, images, and video.

Do nothing
99.2% wasted
  • • Manual Media process
  • • No audit trail
  • • No evidence for inspector/investor
Build in-house
6–12 months • Hire team
  • • Hire + train + maintain
  • • No re-run if product changes
  • • Hard to show investor quickly
Filter — 100x faster
8 steps • Agents • Evidence
  • Text Moderation
  • Image Analysis
  • Daily watch + re-run

Multi-agent mesh — orchestrated

Live system presentation

Filter · Agent Mesh

ORCHESTRATORMediaTextACTIVEVisualNODE 02AudioNODE 03CredibilityNODE 04EnforcementNODE 0512345678
Step 1Instant

Content Ingestion

Receive content from multiple channels and formats.

API submissionBatch uploadStream captureFormat normalization

Objections, answered

If it’s not answered, you’ll hesitate. So we answer it here.

AI-powered content moderation at scale — detect hate speech, nudity, violence, misinformation, and policy violations. Delivered as 5 specialized agents + 8-step workflow. You get Text Moderation + Image Analysis and a dated evidence trail.
Production in 5 weeks • Audit trail

Get Filter live — without the Media drag.

AI-powered content moderation at scale — detect hate speech, nudity, violence, misinformation, and policy violations.… Implementation: Multi-Modal Analysis → Policy Framework → Appeal System → Analytics & Tuning.

Questions? Talk to a human • Responses in < 24h • Human signs every critical step

Evidence + audit trail•Azure AI Foundry + LangChain•Deterministic — LLM only for rationale