Video Intelligence for Trust & Safety

Detect policy violations at scale, in real-time

Manual video review doesn't scale. CogniStream helps trust and safety teams find problematic content across millions of videos with semantic search and automated detection.

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85%
Fewer false positives
48ms
Detection latency
24/7
Automated monitoring
10x
Review throughput

What you can build

Real-world applications powered by intelligent video search.

Policy Violation Search

Search for specific policy violations across your entire video library. 'Violent content' or 'hate speech' queries return flagged timestamps for review.

Real-Time Detection

Flag new uploads automatically during processing. Get alerts when content matches your moderation policies before it goes live.

Visual Content Analysis

Detect inappropriate imagery, dangerous activities, or brand safety concerns. Semantic understanding goes beyond simple object detection.

Audio Moderation

Analyze spoken content for hate speech, misinformation, or policy violations. Combined audio-visual analysis catches what either alone would miss.

Compliance Audits

Run bulk queries across historical content when policies change. Retroactively identify videos that violate new guidelines.

Custom Policies

Define your own moderation criteria with natural language. 'Content showing dangerous stunts' becomes a searchable policy.

From upload to moderated

A simple workflow that fits into your existing pipeline.

1

Videos indexed automatically on upload

2

AI scans for policy violations in real-time

3

Flagged content queued for human review

4

Reviewers jump to exact timestamps, make decisions faster

Uploading video...
Step 1 of 4

Built for content moderation

Features designed specifically for your industry needs.

Contextual Understanding

Smart

Go beyond keyword matching. Semantic search understands context—distinguishing educational content about violence from actual violent content.

Reduced False Positives

AI that understands nuance means fewer incorrectly flagged videos. Your human reviewers focus on actual problems, not false alarms.

Frame-Level Timestamps

Get exact timestamps for flagged content. Reviewers jump directly to the problematic moment instead of watching entire videos.

Audit Trail

Compliant

Complete logging of all moderation decisions and queries. Demonstrate compliance and track policy enforcement over time.

Automate your moderation pipeline

Integrate intelligent content detection into your workflow.

example.py
import cognistream

# Set up moderation policies
moderator = cognistream.Moderator(
    policies=[
        "violent or graphic content",
        "hate speech or discrimination",
        "dangerous activities"
    ]
)

# Scan a video for violations
flags = moderator.scan("user_upload_12345.mp4")

for flag in flags:
    print(f"Policy: {flag.policy}")
    print(f"Timestamp: {flag.timestamp}")
    print(f"Severity: {flag.severity}")

Ready to transform your content moderation workflow?

Free during beta. No credit card required. Start building in minutes.

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