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 detection

market 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 director
    pains:
    • Fraudulent survey participants contaminate data and force time-consuming response review.
    • Needs to protect participant experience while screening responses.
  • title: Head of trust and safety
    pains:
    • Bots can abuse online workflows while intrusive challenges frustrate legitimate users.
    • Needs explainable signals that inform a proportionate response.
  • title: Platform engineering lead
    pains:
    • 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 reCAPTCHA
    why: Bot detection and verification used for online forms and surveys.
  • name: Cloudflare Turnstile
    why: Competing low-friction human verification.
  • name: hCaptcha
    why: Bot detection and CAPTCHA alternative included in the company's benchmark.
  • name: Imperium RelevantID
    why: Fraud and duplicate detection in survey research.

influencers

  • name: Mayank Agrawal
    url: https://mayank-agrawal.com/
    why: Co-founder and researcher publishing on behavioral bot detection.
  • name: Mathew Hardy
    url: 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_led

channels

  • research publications
  • LinkedIn
  • SEO
  • outbound

confidence

high

Founders

  • name: Mayank Agrawal
    title: Founder
    role: Founder
    bio: 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 Hardy
    title: Founder
    role: Founder
    bio: 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.

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