Pangram Labs
Phrase-level AI content detection with near-zero false positives — third-party verified by top universities.
Overview
Pangram Labs is a New York-based AI detection company founded in 2023 by Stanford-trained ex-Google and ex-Tesla engineers Max Spero and Bradley Emi. Its flagship product analyses writing patterns at the segment level to classify text across four tiers — Fully Human, Lightly AI-Assisted, Moderately AI-Assisted, and Fully AI-Generated — achieving a claimed 99.98% accuracy with a false positive rate of approximately 1 in 10,000 documents, independently validated by the University of Chicago Booth School of Business and the University of Maryland. The underlying EditLens model was accepted as a peer-reviewed conference paper at ICLR 2026, making Pangram the first commercial AI detector to publish at a premier ML venue.
The platform targets three verticals: education (LMS integrations with Canvas, Moodle, Google Classroom, and Brightspace), publishing and media (API-driven editorial pipelines used by clients such as Quora and NewsGuard), and enterprise trust and safety (SOC 2 Type II certified, ephemeral content processing with zero data retention). A REST API with Python SDK enables bulk document scanning at $0.04 per 1,000 words, integrating into CMS and content-moderation queues within a day. Multilingual support covers 20+ languages with strongest accuracy in English. As of mid-2026, Pangram has raised $14 million in total funding, with backers including Menlo Ventures, ScOp Venture Capital, Haystack, Cadenza, and Script Capital.
Pricing
Pricing shown for reference only. These figures reflect RECATOOLS research as of 11 Jul 2026 and may be out of date or incomplete. This is not financial or purchasing advice — always confirm the current price on the provider’s official website before making any decision.
- Browser extension
- Google Docs integration
- 20+ languages
- Plagiarism detection
- Social feed scanning
- Admin controls
- Unified billing
- Expanded scan limits
- All Individual features
- API access
- Dedicated support
Use cases
What you can produce with Pangram Labs
- Segment-level AI detection report with per-sentence confidence scores and character-range highlights
- Four-tier authorship classification: Fully Human, Lightly AI-Assisted, Moderately AI-Assisted, Fully AI-Generated
- API JSON response with fraction fields (AI-written, AI-assisted, human-written percentages) and window-level token counts
- Batch document scanning pipeline processing large volumes of articles via bulk API endpoint
- LMS-integrated detection for Canvas, Moodle, Brightspace, and Google Classroom with educator dashboard
- Chrome extension and Google Docs add-on for in-workflow document review without leaving the editor
- SOC 2 Type II audit report and ephemeral-processing data handling confirmation for enterprise data-privacy due diligence
ASEAN Perspective
Pangram Labs in Southeast Asia
Pangram's multilingual support covers 20+ languages but is anchored in English accuracy; detection quality for ASEAN languages such as Bahasa Indonesia, Tagalog, Thai, and Vietnamese has not been independently validated, making it a less certain choice for regional content-moderation workflows. There is no Asia-Pacific office, local data residency option, or regional pricing, which may create friction for Singapore and PDPA-compliant enterprise buyers. Its SOC 2 Type II certification and ephemeral data processing align broadly with PDPA and ASEAN data protection principles, but buyers should confirm no content is routed through US-only infrastructure before deployment. For ASEAN publishers and trust-and-safety teams primarily working in English — such as regional news aggregators and English-language academic institutions — Pangram's best-in-class false positive rate and API reliability make it a credible option worth evaluating.
Pangram Labs earns its credibility from actual research rather than marketing copy: an ICLR 2026 paper on its EditLens model, plus independent validation from University of Chicago Booth and University of Maryland putting its false-positive rate around 1 in 10,000 — well below the roughly 1-in-100 rate typical of GPTZero and Originality.ai. The four-tier classification (Fully Human through Fully AI-Generated) gives publishers and trust-and-safety teams something more defensible than a binary verdict, and SOC 2 Type II certification plus zero-retention processing make it enterprise-ready.
Reddit tells a slightly messier story than the lab numbers: users report human writing flagged 50-70% AI on occasion, and text that's mostly human but lightly AI-polished routinely gets scored 100% AI-generated. There's no plagiarism detection built in, no code or image scanning, non-English accuracy trails the English numbers, and the free tier's four credits a day barely covers evaluation. Brand recognition still lags GPTZero.
What people say
Four credits a day is what Pangram's free tier gives you — enough to kick the tires, not to run a newsroom. Paid plans start at $20/month for 600 credits and climb to $65/month for 3,000; the API bills separately at $0.05 per 1,000 words. None of that is unusual for the category, but it does mean the real product — enterprise-grade accuracy — lives behind a subscription.
And the accuracy claims are genuinely different from the rest of the field. Third-party validation from the University of Chicago Booth School and University of Maryland puts the false-positive rate near 1 in 10,000, and the underlying EditLens research cleared peer review at ICLR 2026 — a rare bar for a commercial AI detector to clear. Reviewers on aggregator sites land Pangram around 4.3 out of 5, citing the phrase-level breakdown and LMS integrations (Canvas, Moodle, Brightspace) as strong points for educators.
Real-world reports on Reddit are messier than the lab numbers suggest: some users describe legitimate human writing getting flagged as majority-AI, and text that's mostly human but lightly AI-polished tends to score as fully AI-generated. There's no plagiarism checker bundled in, which rules it out as a one-stop Turnitin replacement, and multilingual accuracy — despite claimed support for 20+ languages — is weakest outside English. Founded in 2023 by Stanford-connected ex-Google and ex-Tesla engineers, the company has raised roughly $14M and rebranded from Checkfor.ai in 2024.
Summary of public user & expert reviews, compiled by RECATOOLS.
Notable facts
- Pangram's founders — Max Spero and Bradley Emi — met as Stanford freshmen and both went on to work in AI at Google and Tesla before co-founding the company.
- EditLens, the model powering Pangram 3.0, was accepted at ICLR 2026 — making Pangram the first commercial AI-detection company to publish at a top ML conference.
- When Pangram scanned ICLR 2026 peer reviews for the conference itself, it predicted that approximately 21% of submitted reviews were AI-generated — a finding covered by Nature News and The Atlantic.
- Quora used Pangram's API to scan over one million posts, reporting zero false-positive complaints in production — a real-world stress test that independent benchmarks alone cannot replicate.
Frequently asked questions
About this listing
This entry was compiled from publicly available data including Pangram Labs's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with Pangram Labs unless explicitly stated.
Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.
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