CUJO AI
AI-powered cybersecurity and network intelligence solutions for providers.
Company facts
- Founded
- 2015
- Employees
- 250
- Headquarters
- United States
- CEO
- Remko Vos
- Type
- Private
- Funding
- Series B · $28.7M · 2018
About
CUJO AI is a global leader in the development and application of artificial intelligence (AI) tailored for the security needs of broadband operators. The company specializes in delivering solutions that enhance subscriber protection through advanced network intelligence analytics. With a focus on ensuring safety in the digital realm, CUJO AI provides a spectrum of services that include Digital Life Protection solutions designed exclusively for broadband and mobile network operators. As part of its offerings, CUJO AI emphasizes the importance of subscriber security and the management of network dynamics. The company’s innovative approach combines cutting-edge technology with robust cybersecurity measures, making it a trusted partner for telecom and broadband service providers around the world. CUJO AI is also recognized as a member of the World Economic Forum's Technology Pioneer community, reflecting its significant impact on the future of technology in the telecommunications sector.
Quality Engineer
🚀 CUJO AI® is a leader in artificial intelligence solutions for network service providers. We use machine learning and real-world data to develop cybersecurity, device intelligence , network intelligence , and…
Senior Backend Engineer (Node.js/TypeScript, AWS)
Senior Backend Engineer building secure, scalable Node.js/TypeScript cloud-native services on AWS serverless (Lambda, API Gateway, DynamoDB, CDK) for CUJO AI's OTM platform, which powers Android/iOS apps delivering cybersecurity and parental control features. Also owns infra-as-code and CI/CD pipelines and mentors engineers.
Senior Data Analyst (Analytics Engineering), Data Platform
Senior Data Analyst on CUJO AI's Data Platform team in Espoo, doing hands-on analytics engineering: building tested data models and ELT pipelines with SQL, dbt and PySpark, defining KPIs, and delivering analyses and dashboards with Python, Redshift and BI tools for teams across the company.