ModAI

The Smarter Way to Label Your Content

Online platforms seeking data labeling solutions face challenges balancing

Human Data Labeling

When hiring offshore teams is difficult to manage, deliver questionable quality, and costs grow in line with your user base.

Automation

Where automation rarely reaches its full potential due to extreme complexity and lack of ongoing technical support.

“We can’t spend millions of dollars on manual review. We need to focus on high risk content, not manually reviewing every single image.”

– Director of Trust & Safety

Marketplace, 10M Users

“Off the shelf classifies are giving us bananas and saying they’re explicit. It costs us more to fine tune and hurts user experience.”

— Safety Team Lead

Marketplace, 10M Users

ModAI replaces manual data labeling with a new system that combines expert human judgment with the efficiency of powerful, AI automation.

25 - 50%

Cost Reduction
vs. existing BPO

Increase in Quality
from today's baseline

Under 1 week
to implement

Ready to get started with ModerateAI?
Get Started

Manual data labeling is inefficient and costly.

ModAI cuts costs by 25-50% with high quality and flexibility.

How ModAI works:

1. Smart Ingestion & Routing

ModAI ingests and routes your data through fine-tuned filters and classifiers. We automatically determine which items can be handled by LLM-as-a-Judge and which need expert human validation.

Diagram step 1: Send your content to the ModerateAI API.

2. AI + HITL Calibration

ModAI pre-screens and classifies each piece of content, while human experts review edge cases, confirm policy violations, and reinforce quality through contextual judgment.

• Label quality matches that of your best human raters — ensuring consistent, accurate, and reliable data labels.

Diagram step 2: smart routing analyzes and sorts content.

3. Quality Reinforcement & Reporting

Every AI and human decision feeds back into quality metrics and reports. Continuous auditing strengthens accuracy, transparency, and overall trust.

• You get real-time dashboards, audit trails, and data-science-grade metrics.

Diagram step 4: quality and audit reporting

4. Continuous Learning Loop

Insights from audits and human feedback continuously train AI models—improving precision, reducing manual workload, and enhancing performance over time

• Launch in days, easily dial capacity up and down, adjust policies on the fly.

Diagram step 4: quality and audit reporting

We bring AI innovation and scale to data labeling workflows, so you can...

Get more done while paying less

We automate labeling and moderation tasks to reduce costs and quality loss, freeing up your internal team resources.

Maintain quality of best raters

Label quality matches that of your best human raters. Ensuring consistent, accurate, and reliable content moderation and labeling.

Get insights on your platform & emerging threats

We deliver outstanding value to our clients and delight them with every interaction.

Effortless integration

While APIs provide the best performance and greatest flexibility, we can integrate with any internal or 3rd party moderation and labeling tool currently in use.

ModAI delivers high ROI by transforming labeling workflows.

40%+ savings with ModAI over 12-18 months

Let's Get Started

ModerateAI FAQs

Why is ModerateAI better than just working with a BPO directly?
Why is Moderate AI better than implementing classifiers with my own team?
How does ModerateAI fit into my daily online safety workflow?
What does onboarding look like and how quickly can I get up and running?
How is my data secured?
How do I get visibility into the operations, performance, KPIs, etc?
What forms of content does ModerateAI support / not support?
Does ModerateAI make decisions on my content or do I need to make enforcement decisions based on your labels?
How do I send ModerateAI a piece of content to be reviewed, and what should I expect back (and in what formats)?
How exactly does ModerateAI review content for policy violations?