CHEQ detects and verifies human, bot, and AI agent identity across digital interactions with machine learning on a polyglot stack (Python, Node.js, Go, ClickHouse, Kinesis). The company is sales-led (13 active sales roles vs. 5 engineering) and facing acute scaling challenges: customer churn, adoption friction, and margin pressure from compliance expansion appear alongside aggressive hiring in support (7 roles) and customer success—a pattern that signals post-sale friction is limiting growth.
CHEQ provides identity and authenticity intelligence for enterprise SaaS, marketing, and security teams. The platform analyzes traffic patterns to distinguish legitimate users from bots and AI agents, with specialization in form protection, user verification, and behavioral analysis. Headquartered in New York and founded in 2016, the company operates across North America, the UK, and Israel. The product serves 15,000+ companies, from mid-market to Fortune 50. Core operational focus spans data-driven traffic analysis, customer onboarding, API integrations, and compliance governance.
CHEQ runs Python, Node.js, Go, and Java on AWS/Azure infrastructure. Data flows through Kinesis, ClickHouse, and PostgreSQL/MySQL, with monitoring via Prometheus and Grafana. Orchestration uses Kubernetes, Terraform, and Helm. CI/CD via GitLab.
CHEQ is headquartered in New York, NY and was founded in 2016. The company is privately held with 201–500 employees and hires across the US, UK, and Israel.
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