Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • Bluepear Reviews & Ratings
    67 Ratings
    Company Website
  • Google Cloud Speech-to-Text Reviews & Ratings
    443 Ratings
    Company Website
  • Ethena Reviews & Ratings
    131 Ratings
    Company Website
  • NINJIO Reviews & Ratings
    416 Ratings
    Company Website
  • Emtrain Reviews & Ratings
    53 Ratings
    Company Website
  • HSI Donesafe Reviews & Ratings
    176 Ratings
    Company Website
  • PBRS Power BI Reports Distribution Reviews & Ratings
    12 Ratings
    Company Website
  • cside Reviews & Ratings
    37 Ratings
    Company Website
  • Haast Reviews & Ratings
    5 Ratings
    Company Website
  • Paligo Reviews & Ratings
    104 Ratings
    Company Website

What is Two Hat?

A specialized neural network has been created to streamline the process of triaging reported content online. For years, social media platforms have relied on users to report abusive conduct, hate speech, and various forms of online harm. These flagged reports are then sent to moderation teams that evaluate each one individually. Many platforms face a deluge of reports on a daily basis, with a considerable number being resolved without any further action taken. However, reports concerning urgent issues—such as suicidal threats, violent incidents, terrorism, or child exploitation—may be at risk of being ignored or addressed too slowly. Such delays can lead to severe legal consequences as well. In accordance with the German law known as NetzDG, social media companies must remove reported hate speech and illegal content within a 24-hour window, or they could face fines of up to 50 million euros. As similar laws regarding reported content are emerging in nations like France, Australia, and the UK, the demand for efficient moderation methods is becoming increasingly paramount. The Predictive Moderation product from Two Hat enables platforms to create a custom AI model that learns from the consistent decisions of their moderation teams, thus improving both the speed and accuracy of responses to urgent reports. This advancement not only bolsters user safety but also aids platforms in effectively navigating the intricate landscape of legal compliance. Furthermore, it represents a significant step forward in the ongoing effort to maintain online communities that are both safe and respectful for all users.

What is Laya AI?

Laya AI embodies a collection of open-source, non-autoregressive decision-making models that prioritize swift and structured decision processes over the generation of free-form text. By analyzing a specific state alongside structured queries in one comprehensive step, it generates outputs that can be seamlessly integrated into application code. The system categorizes decisions into three types: choice, which selects from a set of predefined options and provides associated probabilities; score, which evaluates an input on a ranked scale such as urgency or severity; and noul, which predicts the likelihood that a statement is true. Designed for a wide range of tasks, Laya effectively manages agent and model routing, assists in ticket triage, and conducts risk assessments, among other functionalities. Its features enable the system to allocate requests to the correct department, gauge urgency levels, detect signs of potential refunds or customer churn, and identify instances of policy breaches or abuse. Additionally, it can escalate unclear cases to more sophisticated models or human experts for further examination. This adaptability makes Laya AI not only a valuable tool in operational settings but also enhances its ability to evolve with the changing demands of various industries. Ultimately, Laya AI distinguishes itself through its remarkable versatility and effectiveness in enhancing decision-making processes across a plethora of operational requirements.

Media

Media

Integrations Supported

Integrations Supported

GitHub
Hugging Face
Node.js
ONNX
PyPI
Python

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Free
Free Version

Supported Platforms

SaaS

Supported Platforms

Windows
Mac
Linux

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

Two Hat

Date Founded

2012

Company Location

Canada

Company Website

www.twohat.com/predictive-moderation-template/

Company Facts

Organization Name

Laya AI

Date Founded

2020

Company Location

India

Company Website

laya-ai.com

Categories and Features

Content Moderation

Not specified

Categories and Features

AI Decision Models

Not specified

Popular Alternatives

Tisane Reviews & Ratings

Tisane

Tisane Labs

Popular Alternatives

Clef-flash Reviews & Ratings

Clef-flash

Cloudflare
Clef Reviews & Ratings

Clef

Cloudflare
Jev Reviews & Ratings

Jev

TypeSafe AI