Pangram launches AI content detector using classifier neural network
Pangram has built a text and image classifier that determines whether content was authored by a human or generated by AI. The system tokenizes input text, converts tokens into vector embeddings, and passes them through a neural network with a classifier head that outputs a human, AI, or AI-assisted label. The model was trained on roughly one million documents combining publicly licensed human writing with AI-generated samples from GPT-5 and other frontier models.