Industry:
Trust&Safety

AI Platform for Automatic Content Moderation

The Challenge

In today's digital age, ensuring safe and trustable content is paramount. With the surge in user-generated content across various platforms, manual moderation becomes not only time-consuming but also prone to errors.

The Trust&Safety industry required an efficient, scalable, and accurate system to sift through vast amounts of content, identifying and handling inappropriate materials, without compromising user experience or platform integrity.

 

The Solution

To address this pressing need, we developed an advanced AI framework tailored for automatic content moderation. By leveraging both classical machine learning techniques and state-of-the-art Generative AI & Large Language Models (LLMs) approaches, our solution presents a robust and versatile moderation system.

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The Framework Is
Designed To

01

Understand the nuances and contexts in which content is presented.

02

Efficiently categorize and filter content based on platform-specific guidelines and policies.

03

Adapt and learn from new data inputs, ensuring its relevance and efficiency over time.

Results

Enhanced Accuracy

Significantly reduced false positives and negatives compared to traditional moderation methods.

Scalability

Efficiently moderated vast amounts of content, ensuring timely action and maintaining platform integrity.

Cost Efficiency

Reduced the need for extensive manual moderation teams, leading to significant cost savings.

Adaptive Learning

The system continuously improved its accuracy and efficiency with every piece of content it processed.

AI-Accessibility

Opportunity to create accurate ML classifiers for any content moderation policy by providing the correspondent prompts using Generative AI technologies

Technologies

BERT
RoBERTa
GPT-3.5 & GPT-4
LLama-2
Mistral
HuggingFace
Langchain
LangFlow
Sklearn
Sentence-
transformers
Spacy
OpenAI
Pytorch
Anthropic

Guillaume Bouchard

CEO at Checkstep

I highly recommend the LyraTech team for their exemplary work at Checkstep where they showcased great expertise in building AI solutions for content moderation systems. They showed a clear proficiency in designing and fine-tuning LLMs, meticulously evaluating 3rd party APIs to flag online harm, and rigorously testing foundational models. Moreover, their ability to iterate on prompts and professionally present their findings to a large audience significantly contributed to advancing our project

Anna Lytvynenko

Co-founder and CCO of Business Logic Group

Our company is a developer of the proprietary ВР2М platform, which is a solution for commercial performance and planning management. To catch momentum from external AI expertise, we invited Lyratech, led by Kateryna Stetsiuk, for a collaborative workshop with our development team. From the very beginning, Kateryna made the discussions engaging. She shared captivating and systematically structured materials, and with her friendly way of explaining complex things, our team quickly got involved in lively talks, looking at real cases from our work. The collaboration with Lyratech brought quick results: our platform unveiled an AI-driven "Talk-to-Data" feature, which empowered the data discovery and decision-making process.
Our cooperation with Lyratech led to the momentum we require!

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