Content Moderation Services

Content Moderation

Human-in-the-loop trust and safety moderation for text, images, and video — calibrated to your platform's policy, not a generic rulebook.

RUN FREE PILOT
Featured case study
AI Content Inspector // Email Threat Detection
Spam Email
From:
[email protected]SUSPICIOUS ADDRESS
Subject:
URGENT!URGENCY
Verify Your Account Now!
Dear UserGENERIC GREETING
,
We detected
unusual activityTHREAT
on your account.
Verify your informationIMMEDIATE ACTION
by clicking here to avoid
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PHISHING RISK: 99.7%
ACTION: AUTO-QUARANTINED
Trust & Safety

Policy-Calibrated Multimodal Content Moderation

Trusted by leading brands

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Your data problem
has a human solution.

Social Media Platforms

Millions of posts per hour require human-in-the-loop moderation to catch context AI missesWe handle hate speech, self-harm, NSFW, and political misinformation across 50+ languages and regional cultural contexts

Online Marketplaces

Counterfeit listings, prohibited items, and fraudulent sellers damage platform trust at scaleWe identify policy violations across product images, listing text, and seller behavior patterns

Gaming & Live Streaming

In-game chat, voice communication, and live video moderation require real-time human review capacityWe provide scalable review pipelines for player reports, ban appeals, and automated flagging validation

News & Media Publishers

Misinformation, deepfakes, and copyright violations require context-aware human reviewWe build escalation and review workflows for editorial teams managing user-generated and AI-generated content

OUR CONTENT MODERATION SERVICES FOR DIGITAL PLATFORMS & MEDIA

We provide high-precision, policy-calibrated content moderation across all media formats and digital platforms. Our global team can expertly deliver the following trust and safety moderation services:

Text Moderation — Fakes

Detect synthetic impersonations, deepfake disinformation text, and synthetic propaganda scripts across multi-language posts.

Fakes
Fakes
FLAG:SYNTHETIC_MANIPULATION
AUTO

A Futureproofed Pipeline

We exist for a future where platform trust is maintained by AI and human review systems working in perfect coordination.

Step 1

Free Pilot

Step 2

QA Review

Step 3

Proposal

Step 4

Start Reviewing

Step 5

Delivery

Estimate Your Costs for ML projects

1 Pick application field

NLP

2 Select annotation method

Entities to label

3 Specify how many objects to label

Amount
entities
SmallMediumLarge
STARTUPBUSINESSLow UsageHeavy UsageData ProcessingLabel BaseQA

4 Check the approximate total cost

Estimated Cost:$0 /total

5 Run free pilot

Engai · Project planning

Request your free pilot

Set a quantity from 1 to 1,000,000 in the calculator, then request a pilot with your estimate.

Why Projects Choose Engai for Content Moderation

98%
Moderation Precision
10x
Faster Review
40%
Cost Reduction

Cultural Context Expertise

Our globally distributed reviewer teams bring native cultural knowledge to moderation decisions — catching what algorithms miss.

Policy-Calibrated Decisions

Every reviewer is calibrated to your specific community guidelines and escalation protocols — not generic content policies.

Elastic Queue Scaling

Handle viral content spikes and event-driven volume surges without sacrificing review quality or SLA compliance.

Safe and secure

Your trust is our foundation. Engai is designed with a deep commitment to data privacy and security. Visit our trust page and security center to learn more.

AICPASOC2
★ GDPR ★
★★★★★★★★
INFORMATION SECURITY
ISO
27001

Start Free Piloting your ML project !

fill up this form to send your pilot request

Discover how Engai's Data Pipeline and AI Infrastructure platform can make your organization AI-ready:

  • Automatically discover and map all datasets with contextualized inventory

  • Effortlessly manage ML lifecycle and address governance gaps

  • Drastically reduce deployment time by mitigating edge-case risks

  • Immediately detect and respond to model drift to minimize threat impact

  • Proactively apply zero-trust protection mechanisms for proprietary data

Live Infrastructure Telemetry

1.2BData Points
189Models
24Pipelines
3Alerts
TypeOriginOwnerStatus
Vision ModelGitHubDave DigsterHealthy
DatasetAWS S3Emily ThompsonSyncing
DeploymentGCPRobert BrownActive

Zero-Trust Dataset Confidentiality

Your requirements and proprietary sample assets are encrypted in transit and never used for public model training.

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By submitting this form, I confirm that I have read the privacy policy and agree that my name and email address will be collected and used by Engai for the purposes of sending marketing communication, promotions and updates. [email protected]

Support Center

Frequently Asked Questions

All moderation projects are staffed with reviewers who are native speakers of the target language and familiar with regional cultural norms. We run calibration sessions using ambiguous edge cases before production begins, and maintain living style guides for each language-region combination to ensure decisions are consistent and culturally grounded.