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3 min read·Updated July 20, 2026

Interos

Interos logoBy Interos

Interos maps and predicts supply-chain risk with iQ, deriving a machine-learning i-Score across six risk domains over a graph of sub-tier supplier relationships.

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Learning Objectives

  • Understand how a risk graph maps sub-tier supplier dependencies
  • See how an ML-derived score forecasts risk rather than only reporting it
  • Recognize Interos as a load-bearing-AI supply-chain-risk company

What Is Interos?

Interos is a supply-chain-risk-intelligence company founded in 2005 and headquartered in Arlington, Virginia, used by large enterprises and government to see and manage risk across their supplier networks. In 2026 it launched a second-generation predictive platform, iQ, that scores and forecasts risk rather than only reporting it.

The genuine AI is a machine-learning-derived risk score — an i-Score — computed across six risk domains (financial, operational, cyber, governance, geographic, and more) over a graph of sub-tier supplier relationships. Mapping who depends on whom, several tiers deep, and predicting where disruption will strike is the core capability.

💡Key Concept

Sub-tier risk graph: Interos maps who depends on whom several tiers deep, then derives a machine-learning i-Score across six risk domains to predict where disruption will strike. The risk graph and predictive scoring are the product.

Core Capabilities

  • Sub-tier supplier mapping — graphs dependencies several tiers deep.
  • i-Score risk scoring — ML-derived score across six risk domains.
  • Predictive risk (iQ) — forecasts risk rather than only reporting it.
  • Enterprise and government scale — used across large supplier networks.

Company Details

DetailInfo
CompanyInteros
Founded2005
HeadquartersArlington, Virginia
PlatformiQ, second-generation predictive platform (2026)
UsersLarge enterprises and government
Core AIML i-Score across six risk domains over a sub-tier supplier graph
Websiteinteros.ai

Best Use Cases

TaskWhy Interos
Scoring supplier risk across domainsML-derived i-Score, six risk domains
Mapping sub-tier supplier dependenciesGraph of supplier relationships
Forecasting where disruption will strikePredictive iQ platform

When to choose alternatives: For disruption forecasting over external signals, Everstream Analytics. For a federated-ML map of global trade, Altana. For carrier-side dispatch decisions, Optimal Dynamics.

Key Takeaways

  • Interos is a load-bearing-AI company — the risk graph and predictive scoring are the product.
  • Its i-Score is a machine-learning-derived risk score across six domains.
  • Its iQ platform forecasts risk rather than only reporting it.
  • It is used by large enterprises and government for supply-chain resilience.

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