Pax Silica Artificial Intelligence Assistance Project
Limited submission
This grant funds the creation of a secure AI supply chain platform and a "Silicon Highway" corridor to enhance logistics, verification, and compliance among partner countries using advanced AI and cryptographic tools.
Funder: Bureau of Economic and Business Affairs
Due Dates: August 12, 2026 (Questions deadline) | August 20, 2026 (Full application deadline)
Funding Amounts: $1,000,000–$50,000,000 per award; up to 3 awards; 24–36 month projects possible
Summary: Supports creation of a secure, AI-enabled supply chain provenance and credentialing platform for global AI supply chain security, piloted in Panama and expanded to partner economies.
Key Information: Applicants must submit via Grants.gov; cost sharing is not required but proposals including at least $25,000 in cost share receive bonus points.
Description
This opportunity funds the development and deployment of a trusted, AI-accelerated supply chain credentialing and provenance platform to secure the AI supply chain in Panama (Phase 1) and additional partner economies (Phase 2). The project aims to integrate cryptographic cargo verification, AI-driven risk assessment, and expedited customs processing into a unified platform that supports secure, resilient, and trusted trade corridors for AI infrastructure, semiconductors, and critical minerals. The Department of State will have substantial involvement in project planning and execution through a cooperative agreement.
Key goals include:
- Strengthening global AI supply chain security and resilience.
- Enabling end-to-end verification of origin, custody, and compliance for critical goods.
- Accelerating logistics and compliance with AI-enabled tools and cryptographic verification.
- Piloting in Panama, then expanding to other Pax Silica signatory countries.
Applicants should propose solutions that integrate with existing customs and shipper systems, support both compliance and logistics, and demonstrate the ability to operate at scale across multiple economies.
