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📐SiliconANGLE AI
July 29, 2026
Funding & Investment

Pangram Labs raises $9M to launch more accurate AI detection for text and images

Overview

, an artificial intelligence research lab that develops AI detection software, today announced it raised $9 million, led by Menlo Ventures, to improve the accuracy of its core text detection and expand into other media, starting with images. Haystack, ScOp Venture Capital, Script Capital and Cadenza also participated in the investment round. ] The post Pangram Labs raises $9M to launch more accurate AI detection for text and images appeared first on SiliconANGLE.

Key Takeaways

  • SiliconANGLE UPDATED 13:20 EDT / JULY 29 2026 AI Pangram Labs raises $9M to launch more accurate AI detection for text and images by Kyt Dotson Pangram Labs Inc.

    The funding brings the total raised by the company to almost $13 million after raising $2.

  • According to Pangram's page on how the product works , says that the system functions by attempting to determine what a passage "sounds like" an LLM or a human.

    Training the classifier involved pulling known-human text drawn from before 2021 and pairing it with AI-generated text so that the classifier could readily distinguish the two.

  • The company added that the new model also greatly reduces false negatives, when it fails to detect AI, and it is robust against humanizers, which attempt to make AI text look human-written.

    The company's Image model for detecting AI-generated images can catch images created by image providers including OpenAI Group PBC's GPT Image, Google LLC's Gemini Nano Banana, Midjourney Inc.

  • Even as AI images proliferate, humans are getting worse at detecting them.

    According to a report from Let's Enhance, a blog focused on AI creative tools, overall detection rates hover around 63.

  • MIT Sloan Teaching and Learning Technologies pointed out that the technology is "far from foolproof" and often features high error rates that can lead to false accusations.

Stats & Key Facts

  • #, an artificial intelligence research lab that develops AI detection software, today announced it raised $9 million, led by Menlo Ventures, to improve the accuracy of its core text detection and expand into other media, starting with images.
  • #, an artificial intelligence research lab that develops AI detection software, today announced it raised $9 million, led by Menlo Ventures, to improve the accuracy of its core text detection and expand into other media, starting with images.
  • #The funding brings the total raised by the company to almost $13 million after raising $2.
  • #0041%, or around once for every 24,000 documents.
Pangram Labs raises $9M to launch more accurate AI detection for text and images

SiliconANGLE UPDATED 13:20 EDT / JULY 29 2026 AI Pangram Labs raises $9M to launch more accurate AI detection for text and images by Kyt Dotson Pangram Labs Inc. , an artificial intelligence research lab that develops AI detection software, today announced it raised $9 million, led by Menlo Ventures, to improve the accuracy of its core text detection and expand into other media, starting with images. Haystack, ScOp Venture Capital, Script Capital and Cadenza also participated in the investment round.

The funding brings the total raised by the company to almost $13 million after raising $2. Pangram is best known for its AI detection platform that the company claims is capable of industry-leading 1 in 10,000 false positives. "Fully AI-generated content is everywhere now, and much of it is undisclosed," said cofounder and chief executive Max Spero.

"Pangram exists to make authorship legible for publishers, teachers, journalists and anyone who relies on the truthful and authentic communication of information. " The company uses what it calls a "classifier model," a type of neural network that can estimate whether a portion of text is AI-generated or human-written. According to Pangram's page on how the product works , says that the system functions by attempting to determine what a passage "sounds like" an LLM or a human.

For more details please read the original article at SiliconANGLE AI.

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