amige. vs
Pangram.

Pangram is the upstart text-detection product that ships with the strongest independent benchmark numbers in the category. founded 2024 by Max Spero and Bradley Emi (both ex-Stanford, Spero ex-Google ML, Emi ex-Tesla ML), $3.98M raised, SOC2 Type 2 certified, small team. they're the rare detection vendor with a real arXiv technical report attached to their accuracy claims, and the rare one that beats their own marketing numbers in third-party tests.

on text detection specifically, Pangram is state of the art. we shouldn't pretend otherwise.

where Pangram is stronger

independent benchmark validation. on RAID (the largest public AI-text detection benchmark, 6.2M generations across 11 generators with 11 adversarial transformations), Pangram ties for best at 99.3% no-attack and 97.7% adversarial. that gap (the adversarial score barely drops) is where most competitors collapse. it's a real result.

peer-reviewable technical report. Pangram has an arXiv preprint with methodology. most detection vendors ship a marketing page and a percentage. publishing the actual approach + evaluation methodology is a credibility signal. amige. doesn't publish a formal preprint, but it explains how its engine works in plain language at the machine.

AI Segment Analysis + AI Assistance detection. which sentences are AI vs human, and the ability to distinguish “edited with AI” from “wholly generated”. useful for catching the mixed-essay case where a student wrote most of it and pasted a couple of ChatGPT paragraphs.

humanizer defeat that holds. on adversarial test sets, Pangram degrades less than peers under paraphraser passes. independently validated, not vendor-claimed.

where amige. is stronger

multi-modality. Pangram is text-only. they explicitly don't do image, video, or audio. amige.'s panel was built for image authenticity (Midjourney, Stable Diffusion, DALL-E, GPT Image, Flux, Nano Banana), video AI detection, and deepfake-specific signals. for any non-text use case, Pangram doesn't apply.

model attribution as a product surface. Pangram reports AI / not AI with confidence and segment-level highlights. amige. names the most likely generator family alongside the verdict. different shape of answer.

per-detector ensemble transparency. Pangram is a single model. an excellent one, but still single-vendor risk. amige.'s panel shows multiple independent classifier scores side by side. when they agree, the headline is loud; when they disagree, you can see where confidence breaks.

free tier shape. Pangram is 4 text checks per day. amige. is 3 scans per day across all modalities, with meaningful image + video coverage. different users, different constraints.

the accuracy picture

Pangram is the only detector in this comparison set that can defend its marketing numbers with a third-party benchmark. the 99.98%+ accuracy and 1-in-10,000 FPR claims look puffy until you see the RAID numbers; 97.7% adversarial is category-leading.

amige. doesn't headline a single accuracy number on purpose. the engine routes each scan to the detectors strongest for it, runs a panel of independent detectors built by different teams, caps confidence, and abstains when they conflict, so it fails less catastrophically than any single model — more on how at the machine. for text specifically, Pangram's benchmark trail is stronger than any single- number claim amige. could make. we'd rather you read the breakdown than trust a percentage.

what a published number means

Pangram reports its accuracy through peer-reviewed shared tasks (the RAID and COLING benchmarks) rather than a self-run figure on a pricing page. a number you can check in someone else's paper carries more weight than one a vendor measured on itself, amige. included, which is part of why amige. doesn't headline one.

who each is for

pick Pangram if you only care about text. you want the strongest independent benchmark in the category. you publish content, recruit, run admissions, moderate, or build ML tooling that needs an AI-text classifier behind it. you don't need image / video / audio.

pick amige. if you want a tool that handles every modality, names the model behind the content, and shows you a panel of independent classifiers with per-score breakdowns. you want the methodology to be open about its limits. you want a $9 plan with a free tier and shareable permalinks.

if you're building an AI-text-only workflow, Pangram is the right answer. for everything else, multi-modality matters more than the last percentage point of text accuracy.