Bot and fraud detection platform processing 20 trillion weekly interactions
HUMAN detects and blocks bot attacks and fraud across advertising, e-commerce, and enterprise applications by analyzing digital interactions at scale. The stack—Kafka, Redis, BigQuery, Kubernetes, Python, Go—reflects a high-volume, real-time detection architecture. Active projects around agentic AI bot defense and platform scaling to 1000x traffic, paired with hiring acceleration across engineering and product, signal a shift from reactive threat response toward predictive and AI-driven defense.
HUMAN protects enterprises and digital platforms from bot attacks, fraud, and account abuse. The company verifies the humanity of over 20 trillion digital interactions weekly across advertising, marketing, e-commerce, government, education, and enterprise security. Founded in 2012 and based in New York, the company operates a 201–500-person team. Core pain points center on scaling infrastructure for internet-scale traffic, unifying distributed engineering teams (active across the US, Israel, and the UK), and evolving defenses against increasingly sophisticated threats.
HUMAN's core stack includes Kafka, Redis, BigQuery, Kubernetes, PostgreSQL, MongoDB, Python, Go, and Node.js. They also use Airflow for orchestration, dbt for data modeling, and GitHub Actions/Jenkins for CI/CD. AWS, GCP, and Azure provide cloud infrastructure.
HUMAN is based in New York, NY and employs 201–500 people. The company actively hires in the United States, Israel, and the United Kingdom.
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