Proof of Human GTM brain
Proof of Human sells behavioral bot detection to research organizations and online platforms seeking to identify automated users without interrupting legitimate people.
category
Behavioral bot detectionmarket profile
- text: AI-generated survey responses and automated agents threaten the reliability of online research data.
- text: Existing invisible bot detection systems vary in performance against modern agents, according to the company's own benchmark.
personas
- title: Market research operations directorpains:
- Fraudulent survey participants contaminate data and force time-consuming response review.
- Needs to protect participant experience while screening responses.
- title: Head of trust and safetypains:
- Bots can abuse online workflows while intrusive challenges frustrate legitimate users.
- Needs explainable signals that inform a proportionate response.
- title: Platform engineering leadpains:
- Must integrate fraud detection without slowing down high-volume sessions or collecting unnecessary personal data.
icp
- text: Market research firms and survey platforms handling substantial volumes of online responses and open-ended answers.
- text: Digital platforms with bot-sensitive user interactions and engineering capacity to integrate an API.
message pillars
- text: Verify users without presenting intrusive challenges.
- text: Use continuous analysis of behavioral signals.
- text: Limit personal data collection and cross-site tracking.
objections
- objection: Will screening create friction for real participants?response: The API runs in the background; assess false positives on your own traffic before applying hard blocks.
- objection: How does it compare with existing CAPTCHA tools?response: Review the company's comparative benchmark and run a representative evaluation because results depend on traffic and threat mix.
- objection: What personal information is collected?response: The site states no PII collection or cross-site tracking; review the privacy terms for your deployment.
competitors
- name: Google reCAPTCHAwhy: Bot detection and verification used for online forms and surveys.
- name: Cloudflare Turnstilewhy: Competing low-friction human verification.
- name: hCaptchawhy: Bot detection and CAPTCHA alternative included in the company's benchmark.
- name: Imperium RelevantIDwhy: Fraud and duplicate detection in survey research.
influencers
- name: Mayank Agrawalurl: https://mayank-agrawal.com/why: Co-founder and researcher publishing on behavioral bot detection.
- name: Mathew Hardyurl: https://research.poh.org/bot-benchmarking/why: Co-founder and co-author of the company's detection benchmark.
keywords
- survey bot detection
- survey fraud prevention
- AI survey responses
- behavioral bot detection API
- invisible human verification
- market research data quality
voice
- research grounded
- direct
- reassuring
signals
- text: A research provider reports rising AI-generated open-ended responses or spends hours cleaning survey data.
- text: A platform wants to replace intrusive verification while retaining automated abuse controls.
stack
- JavaScript API
hiring
- Founding GTM
- Founding Member of Technical Staff
pricing
model: unknown
motion
sales_ledchannels
- research publications
- SEO
- outbound
confidence
highFounders
- name: Mayank Agrawaltitle: Founderrole: Founderbio: CEO of Proof of Human, building the invisible Turing Test for the Internet. Before Proof of Human, Mayank completed a PhD at Princeton University working at the intersection of cognitive science and artificial intelligence, publishing in high-impact venues including Science, PNAS, and Psychological Review.
- name: Matt Hardytitle: Founderrole: Founderbio: Matt is a co-founder of Proof of Human, a company building the invisible Turing Test for the internet. Before Proof of Human, Matt was a PhD student at Princeton University, where he used machine learning and behavioral and experiments to study how people make decisions. Before his PhD, Matt majored in both statistics and economics at the University of Toronto, and worked in data science and econometrics.