AI-driven supply chain risk intelligence platform for enterprises and government
interos.ai sells a SaaS platform that scores supplier risk across cyber, geopolitical, financial, ESG and other domains. Its stack pairs a React/TypeScript/Next.js frontend on AWS, Kubernetes and Terraform with Python and Snowflake for data, and senior-only engineering and data hiring centers on a new predictive analytics product and financial risk models built on macro-economic data.
interos.ai, headquartered in Arlington, Virginia and founded in 2005, builds supply chain risk intelligence software. Its Resilience platform runs on a proprietary knowledge graph and produces a risk score covering cyber, catastrophic, ESG, restrictions, geopolitical and financial exposure. Customers include large commercial enterprises and federal government agencies. The privately held company employs 51–200 people and hires in the United States.
interos.ai uses React, TypeScript, Next.js, Redux and Node.js on the frontend, AWS, Docker, Kubernetes and Terraform for infrastructure, Python, Snowflake and Tableau for data, plus Datadog, Jest, Cypress and Salesforce.
Current work includes frontends for its Resilience and IQ platforms, an IQ predictive analytics platform, financial risk applications, and operationalizing macro-economic models on an enterprise-scale platform.
Yes. Hiring is accelerating and focused on senior, lead and principal engineering and data roles in the United States, tied to its predictive analytics and financial risk products.
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