echoloc

CHEQ Tech Stack

Digital identity and bot detection for enterprise security

Computer and Network Security New York, NY 201–500 employees Founded 2016 Privately Held

CHEQ detects and verifies human, bot, and AI agent identities across digital interactions—deployed across 15,000+ companies including Fortune 50 firms. The tech stack (Snowflake, ClickHouse, Kinesis, Airflow, Go, React) reflects a data-heavy architecture built for high-volume signal processing, while active hiring skews sales (5 roles) and legal (2 roles), indicating aggressive go-to-market expansion and regulatory scaling. Current projects around AI agent identity and global privacy frameworks align with expanding attack surface as AI adoption spreads.

Tech Stack 40 technologies

Core StackSnowflake Python Node.js Zapier Workato AWS Kubernetes Terraform Helm ClickHouse Apache Airflow Redis AWS RDS MySQL PostgreSQL Prometheus Grafana Go React GitLab CI/CD .NET Java Vue SEMrush Google Analytics 4 CRM Google Ads API Azure Kinesis ElastiCache+10 more

What CHEQ Is Building

Challenges

  • Increased compliance maturity
  • High-impact manual processes
  • Faster deal execution
  • Accelerating deal execution
  • Data integrity issues
  • Revenue forecasting accuracy
  • Maintaining data integrity across crm
  • Streamlining go-to-market planning
  • Supporting pipeline growth

Active Projects

  • Ai and automation workflow improvement
  • Thought leadership program
  • Website content strategy
  • Internal ai product development
  • Automation of manual processes
  • Global privacy and compliance framework
  • Scalable compliance processes
  • Revenue forecasting rhythm support
  • Revenue forecasting modeling
  • Go-to-market planning and analysis

Hiring Activity

Accelerating10 roles · 7 in 30d

Department

Sales
5
Legal
2
Marketing
2
Data
1
Ops
1

Seniority

Junior
6
Senior
3
Mid
2
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About CHEQ

CHEQ provides identity intelligence and bot mitigation for enterprises operating digital experiences at scale. The platform combines traffic analysis, trust verification, and behavioral identity signals to classify and respond to human users, bots, and AI agents in real time. Core use cases span form protection, user verification, and go-to-market risk governance. The company sells to mid-market and enterprise SaaS, fintech, and e-commerce organizations; operations span the United States, United Kingdom, and Israel. At 201–500 employees, CHEQ runs as a security-focused, sales-driven organization with active investment in legal and compliance infrastructure.

HeadquartersNew York, NY
Company Size201–500 employees
Founded2016
Hiring MarketsIsrael, United Kingdom, United States

Frequently Asked Questions

What tech stack does CHEQ use?

CHEQ builds on Snowflake and ClickHouse for data warehousing, Kinesis and Airflow for real-time streaming and orchestration, Go and React for backend and frontend, Kubernetes and Terraform for infrastructure, and AWS/Azure for cloud.

What is CHEQ working on?

Current projects include AI agent identity verification, internal AI product development, global privacy and compliance frameworks, revenue forecasting modeling, and automation of manual go-to-market processes.

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How this profile is built

CHEQ's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.