Market & RegulationInvestment · $9M
Pangram raises $9M to detect AI content
TechCrunch AIhigh confidence
Why it matters
- →Pangram's tools help distinguish between human and AI-generated content, addressing transparency concerns.
- →The startup's technology could become essential as AI-generated content proliferates across the internet.
- →Pangram's models offer high accuracy, making them valuable for industries like journalism and academia.
Pangram, an AI detection startup based in New York, has raised $9 million in a funding round led by Menlo Ventures. The company has introduced its latest AI text detection model, Pangram 4, which boasts over 99% accuracy in identifying AI-generated content. Pangram also launched an AI image detection model, currently available in research preview. As AI-generated content becomes more widespread, Pangram's tools aim to help users distinguish between human and AI-generated material, addressing a critical need for transparency in content creation.
Read originalThe story around this
Earlier coverage that leads up to this article, and what followed. Lines connect each piece to the closest one after it, converging here.
More from TechCrunch AI
© TechCrunch AIAgentsagents
Meta Muse AI Agent Now Places US Business Calls
Meta’s consumer agent Muse is rolling out voice calling to US businesses for paid subscribers, targeting the tedious task of customer service navigation. With over 10 million users, Meta is betting that AI’s infinite patience will replace human frustration with phone trees and hold times. The feature leverages improved voice mimicry to interact with receptionists, though many still hang up upon detecting non-human voices. This moves Muse from text-based assistance into active, autonomous execution of real-world tasks, marking a significant step toward mainstream consumer AI utility.
TechCrunch AI
© TechCrunch AI
