Areto

Custom neural network trained to triage reported content. For years, social networks have relied on users to report abuse, hate speech, and other types of online harms. Reports are sent to moderation teams who review each abuse report individually. Many platforms receive thousands of reports daily, most of which can be closed without taking action. Meanwhile, reports containing time-sensitive content — suicide threats, violence, terrorism, and child abuse — risk going unseen or not being reviewed until it’s too late. There are legal implications as well. The German law known as NetzDG says that platforms must remove reported hate speech and illegal content within 24 hours — or face fines of up to 50 million euros. Similar laws concerning reported content are being introduced in France, Australia, the UK, and across the globe. With Two Hat’s reported content product Predictive Moderation, platforms can train a custom AI model on their moderation team’s consistent decisions.

Artificial intelligence to detect new child sexual abuse material & save victims faster. Trained on real CSAM, our AI scans, identifies, and flags new images containing child abuse with unprecedented accuracy. Built in collaboration with law enforcement and leading Canadian universities, CEASE.ai is an ensemble of neural networks using multiple AI models to accurately detect images containing child abuse. Investigators access an easy-to-use plugin, upload case images, and run their hash list to eliminate known images. Then, they let the AI identify, suggest a label, and prioritize images that contain new, never-before-seen CSAM. From there, investigators review flagged images, confirm they contain illegal content, build their case against offenders — and rescue innocent victims faster. Social platforms send all user-uploaded images to the CEASE.ai API endpoint. From there, CEASE.ai identifies and labels any images containing child abuse, and sends a response — all in real time.