
Exiger announced a complete AI transformation with the AI-native 1Exiger release, a significant upgrade to the 1Exiger tech stack that is designed to allow customers to harness the agility of AI for supply chain, procurement, and compliance tasks.
1EXIGER.AI,1Exiger’s enhanced AI execution layer, is built on Exiger’s new AI product development lifecycle (AI-PDLC), enabling continuous development, deployment, and scale while leveraging Exiger’s data, domain expertise and secure infrastructure.
“With the AI-PDLC, we were able to rapidly execute this platform upgrade, integrating the most advanced agentic AI capabilities in just months and creating a platform for the ongoing release of new functionality on a daily and even hourly basis.1Exiger will be like the smartphone of supply chain, readiness, and trade management, with new versions seamlessly deployed for an ever-improving experience,” says Exiger CEO Brandon Daniels. “This product development platform and built-in supply chain data universe obliterates the ‘build vs. buy’ decision for the supply chain, acquisition, and procurement communities, giving them the data they need and the tooling that allows them to use it effortlessly.”
Key takeaways:
· Exiger’s flagship product, 1Exiger, has evolved from a supply chain risk solution into a centralized AI platform that helps organizations manage their operating network, from parts to suppliers, regulators, and customers, through an autonomous agentic workforce that learns, adapts, and augments with every decision.
· This AI-native release combines the largest supply chain knowledge asset with 3 trillion data records, deep expertise from long-term, complex use cases, and trusted deployment in highly regulated environments.
· The AI-PDLC automates each stage of development with AI now writing 95% of first-generation code and seamlessly integrates with Exiger’s secure CI/CD pipeline on top of what is said to be the world’s largest proprietary dataset in supply chain, defense, and corporate intelligence.



















