Pangram

Properties

category: detector
maturity: established
approach: Sentence-level linguistic and semantic analysis (not perplexity/burstiness) trained to catch AI text including lightly edited or humanized content; reports both a probability the text is AI-generated and an estimate of how much of the document is AI.
access: freemium
owns: AI-text detection product (web dashboard, browser extension, Canvas/LMS integration, API) built for teachers, publishers, and trust-and-safety teams; became Substack's built-in AI-detection provider for posts over 100 words starting July 21, 2026.
distinctFrom: Unlike GPTZero/Originality.ai/Copyleaks (perplexity-and-burstiness classifiers marketed mainly to educators or publishers as standalone checkers), Pangram markets itself on sentence-level explainability and a low false-positive rate, and is now the detection layer embedded directly into a major publishing platform's own AI-disclosure feature rather than a separate tool users visit.
source: Pangram (pangram.com)
notes: Vendor-claimed 99.98% accuracy and third-party-reported ~1-in-10,000 false-positive rate are vendor/review-sourced, not independently reverified here. Free plan: 4 checks/day; paid subscription unlocks more credits and plagiarism detection. Substack integration announced 2026-07-21 via Substack's own product update, cited as evidence of adoption. Update (2026-07-29): Pangram raised $9M (led by Menlo Ventures, with Haystack, ScOp, Script Capital, and Cadenza participating) and launched Pangram 4, a next-generation text-detection model vendor-claimed at over 99% accuracy including improved detection of AI-humanizer output, plus Pangram Image, an AI-generated-image detector currently in research preview ahead of a wider release; this supersedes the prior 'text-only, no image detection' note.

Provenance

Source: https://www.pangram.com/

Properties

category

detector

maturity

established

approach

Sentence-level linguistic and semantic analysis (not perplexity/burstiness) trained to catch AI text including lightly edited or humanized content; reports both a probability the text is AI-generated and an estimate of how much of the document is AI.

access

freemium

owns

AI-text detection product (web dashboard, browser extension, Canvas/LMS integration, API) built for teachers, publishers, and trust-and-safety teams; became Substack's built-in AI-detection provider for posts over 100 words starting July 21, 2026.

distinctFrom

Unlike GPTZero/Originality.ai/Copyleaks (perplexity-and-burstiness classifiers marketed mainly to educators or publishers as standalone checkers), Pangram markets itself on sentence-level explainability and a low false-positive rate, and is now the detection layer embedded directly into a major publishing platform's own AI-disclosure feature rather than a separate tool users visit.

source

Pangram (pangram.com)

notes

Vendor-claimed 99.98% accuracy and third-party-reported ~1-in-10,000 false-positive rate are vendor/review-sourced, not independently reverified here. Free plan: 4 checks/day; paid subscription unlocks more credits and plagiarism detection. Substack integration announced 2026-07-21 via Substack's own product update, cited as evidence of adoption. Update (2026-07-29): Pangram raised $9M (led by Menlo Ventures, with Haystack, ScOp, Script Capital, and Cadenza participating) and launched Pangram 4, a next-generation text-detection model vendor-claimed at over 99% accuracy including improved detection of AI-humanizer output, plus Pangram Image, an AI-generated-image detector currently in research preview ahead of a wider release; this supersedes the prior 'text-only, no image detection' note.