Side-by-side comparison of AI visibility scores, market position, and capabilities
Chicago-based delivery logistics platform orchestrating last-mile operations across multiple carriers, fleets, and fulfillment points for retailers and grocers in 50+ countries.
Bringg is a Chicago-based delivery logistics platform that helps enterprises orchestrate complex last-mile delivery operations across multiple carriers, fleets, and fulfillment points. Retailers, grocers, and logistics companies use Bringg to manage delivery scheduling, dispatch, real-time tracking, and driver workflows from a single platform that connects their existing systems with a network of delivery providers. Bringg's carrier management layer enables dynamic carrier selection based on SLA, cost, and capacity, while its customer experience module sends branded tracking notifications and ETAs. The platform is used by enterprises including Walmart, KFC, and Coca-Cola for a range of delivery scenarios from on-demand to scheduled. Founded in 2013 in Tel Aviv with U.S. headquarters in Chicago, Bringg has raised over $100M from investors including GV, Mickey Drexler, and Aleph. It competes with DispatchTrack, Route4Me, and project44 in the logistics software market.
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.
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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