As AI content floods the internet, Pangram raises $9M to detect it
Pangram has raised $9 million to scale its AI detection software. The startup has also released a new AI text detection model, Pangram 4, and an AI image detection model in research preview. New York-based AI detection startup Pangram is on a mission to combat the AI slop infestation spreading across the internet, and it just raised $9 million on a bet that demand for tools that distinguish human-generated content from AI-generated text will only grow.
Key Takeaways
- Pangram's fundraise - led by Menlo Ventures, with participation from Haystack, ScOp, Script Capital, and Cadenza - comes as the startup also launches its next-generation AI text detection model, Pangram 4, and an AI image detection model, Pangram Image.
Pangram says the new text detection model is over 99% accurate at finding AI-assisted writing and mixed human-AI content, plus it can more easily detect AI humanizer programs.
- "Especially text that you're reading, because it changes how people approach the text.
Is this something that I'm going to have to look out for hallucinations and jump in skeptically, or is this something that I trust was well-researched from an actual journalist?
- It's also about distinguishing between levels of AI assistance - like in the case of someone who writes something themselves, but then asks AI to edit or clean it up.
Spero believes AI assistance can be acceptable, just so long as the writer discloses their use of AI.
- The open-access archive arXiv introduced a new enforcement policy this year, stating that submissions containing evidence that authors failed to review LLM output (like hallucinated references or meta comments such as, "Would you like me to make any changes?
- Users can access Pangram via a $20-per-month subscription on the web or download the Chrome extension, which automatically labels posts in real time on X, LinkedIn, Substack, Reddit, and Medium.
Stats & Key Facts
- #Pangram has raised $9 million to scale its AI detection software.
- #Pangram has raised $9 million to scale its AI detection software.
- #New York-based AI detection startup Pangram is on a mission to combat the AI slop infestation spreading across the internet, and it just raised $9 million on a bet that demand for tools that distinguish human-generated content from AI-generated text will only grow.
- #Pangram says the new text detection model is over 99% accurate at finding AI-assisted writing and mixed human-AI content, plus it can more easily detect AI humanizer programs.
Pangram's fundraise - led by Menlo Ventures, with participation from Haystack, ScOp, Script Capital, and Cadenza - comes as the startup also launches its next-generation AI text detection model, Pangram 4, and an AI image detection model, Pangram Image. Pangram says the new text detection model is over 99% accurate at finding AI-assisted writing and mixed human-AI content, plus it can more easily detect AI humanizer programs. The AI image detector is only available via research preview for now; Pangram plans to release it more widely in the coming weeks.
Stanford AI and machine learning grads Max Spero and Bradley Emi launched Pangram about two years ago, after the launch of ChatGPT opened the floodgates for an internet full of bots, AI-generated SEO slop content, and what Spero calls "LLM-powered Russian disinformation campaigns and UAE-influenced campaigns on Twitter. " "I think it's just incredibly valuable to know whether what you're looking at is something that's AI-generated or not," Spero told TechCrunch. "Especially text that you're reading, because it changes how people approach the text.
Is this something that I'm going to have to look out for hallucinations and jump in skeptically, or is this something that I trust was well-researched from an actual journalist? " Pangram's AI detection system is essentially a large machine learning model that was trained on tens of millions of known human documents. The startup then created a "synthetic mirror" for each document, replicating the topic, length, and tone of voice, but written by a frontier LLM.
For more details please read the original article at TechCrunch AI.
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