AI-driven threat intelligence platform for attack surface visibility and cyber risk analytics
CatchProbe operates a centralized intelligence platform that ingests OSINT, dark web feeds, and internal datasets, then correlates and analyzes them using AI to surface threats before attacks occur. The stack—MongoDB, Elasticsearch, Hadoop, Kafka, PostgreSQL—shows a data-intensive architecture built for high-volume ingest and real-time analysis. Hiring velocity is accelerating with senior-level roles dominating the mix, but the active project list (Hadoop deployment, log monitoring, script execution automation) reveals infrastructure scaling challenges that may constrain product velocity.
CatchProbe is a San Francisco-based cyber threat intelligence platform founded in 2018. The product, IntelligencySuite (IDA Mountain), provides centralized intelligence orchestration across Web Intelligence, OSINT, deception systems, threat intelligence, and digital crime analytics. Core modules include SmartDeceptive (AI-powered autonomous deception), DarkMap (dark web monitoring), LeakMap (breach detection), and RiskRoute (external attack surface mapping). The platform serves mid-market and enterprise organizations globally. Engineering is capital-intensive—evidenced by the tech stack complexity—and operations faces MongoDB performance bottlenecks and capacity-planning friction.
MongoDB, Elasticsearch, Hadoop, PostgreSQL, MySQL, Kafka, Kinesis, and Solr for data pipelines. Frontend: React, Vue, Angular, Node.js, TypeScript. Infrastructure: Docker, Terraform, Ansible.
MongoDB performance bottlenecks, capacity planning friction, ad-hoc script execution delays, and maximizing ROI for customers. Active projects focus on Hadoop cluster deployment and log monitoring automation.
CatchProbe Intelligence Technologies'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.