Fairmarkit vs Exiger
Side-by-side comparison of AI visibility scores, market position, and capabilities
Tail spend and strategic procurement automation platform using AI; Boston MA; raised $35M+; automates RFQ and spot buy processes for under-managed spend categories.
About
Fairmarkit is an AI-powered tail spend and procurement automation platform headquartered in Boston, MA, that helps enterprises automate the sourcing and purchasing of low-value, high-volume transactions that are typically too time-consuming to manage strategically. The company raised over $35 million in funding and targets the significant efficiency opportunity in tail spend — the 20% of spend categories that receive 80% of procurement's time on an individual transaction basis.\n\nThe platform automates the request-for-quote (RFQ) and spot-buy processes by using AI to identify the right suppliers, generate competitive quotes, evaluate responses, and recommend awards — with minimal human intervention required per transaction. This automation allows procurement teams to apply competitive sourcing discipline to spending categories that would otherwise be purchased through single-source or off-contract channels.\n\nFairmarkit integrates with existing procurement and ERP systems, operating as a layer on top of platforms like SAP Ariba, Coupa, and Oracle, rather than replacing them. This positioning allows enterprises to deploy Fairmarkit quickly without disrupting their existing procurement infrastructure, targeting specific spend categories where automation ROI is clearest.
McLean, VA AI risk platform founded 2013; combines DDIQ AI and LookingGlass data to deliver supply chain due diligence and third-party risk screening for defense and federal clients.
About
Exiger is a McLean, Virginia-based AI-powered risk and compliance platform that helps enterprises and government agencies conduct supply chain risk management, third-party due diligence, and regulatory compliance screening at scale. Founded in 2013, Exiger has roots in financial crime compliance consulting and has expanded into supply chain risk intelligence through its DDIQ AI platform and the acquisition of supply chain mapping company LookingGlass. The company serves major defense contractors, financial institutions, pharmaceutical companies, and federal agencies that face rigorous third-party risk and supply chain transparency requirements from regulators, government customers, and internal governance frameworks.\n\nExiger's supply chain AI ingests structured and unstructured data from thousands of global sources—trade databases, sanctions lists, beneficial ownership registries, litigation records, and corporate filings—and uses natural language processing and graph analytics to identify risk signals across multi-tier supplier networks. The platform can screen thousands of suppliers simultaneously for sanctions exposure, forced labor indicators, cybersecurity vulnerabilities, and financial distress, dramatically compressing the time required for supply chain due diligence from weeks of manual research to hours of automated analysis. For defense and national security customers, Exiger provides dedicated tools for CMMC supply chain compliance and DFARS clause adherence.\n\nExiger's acquisition of LookingGlass, a cyber threat intelligence firm, added the ability to correlate cyber risk signals with supply chain relationship data—enabling customers to identify which suppliers have exposed attack surfaces that could create systemic cyber risk to their own operations. This cyber-supply chain risk convergence capability is increasingly relevant as regulators and boards demand integrated risk management rather than siloed compliance programs. Exiger competes with Interos, Resilinc, and Dow Jones Risk & Compliance, differentiating on its depth in financial crime compliance, national security market positioning, and the integration of cyber intelligence with supply chain risk.
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