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CatchProbe Intelligence Technologies Tech Stack

AI-driven threat intelligence platform for attack surface visibility and cyber risk analytics

Software Development San Francisco, California 51–200 employees Founded 2018 Privately Held

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.

Tech Stack 26 technologies

What CatchProbe Intelligence Technologies Is Building

Challenges

  • Maximizing return on investment
  • Identifying risks to customer goals
  • Mongodb performance bottlenecks
  • Capacity planning for new applications
  • Ad-hoc script execution requests

Active Projects

  • Security intelligence solutions webinars
  • Risk mitigation plan development
  • Deploy hadoop cluster
  • Develop log monitoring script
  • Automate ad-hoc script execution

Hiring Activity

Accelerating7 roles · 1 in 30d

Department

Engineering
2
Research
1
Sales
1

Seniority

Senior
4
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About CatchProbe Intelligence Technologies

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.

HeadquartersSan Francisco, California
Company Size51–200 employees
Founded2018
Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does CatchProbe use?

MongoDB, Elasticsearch, Hadoop, PostgreSQL, MySQL, Kafka, Kinesis, and Solr for data pipelines. Frontend: React, Vue, Angular, Node.js, TypeScript. Infrastructure: Docker, Terraform, Ansible.

What are CatchProbe's main pain points?

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.

How this profile is built

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.