Waabi vs Exiger
Side-by-side comparison of AI visibility scores, market position, and capabilities
$1B round in Jan 2026 ($750M Series C + $250M from Uber). Expanding from autonomous trucking into robotaxis via Uber partnership. Volvo VNL Autonomous launch.
About
Waabi is a Toronto, Ontario-based autonomous trucking company — having raised over $280 million including a $200 million Series B in June 2024 led by Uber and Khosla Ventures — developing the Waabi Driver, an end-to-end generative AI system that operates Class 8 trucks without human safety drivers using a single interpretable neural network rather than the rule-based stacks used by competitors. Founded in 2021 by CEO Raquel Urtasun (University of Toronto professor, former Chief Scientist of Uber ATG, and endorsed by NVIDIA CEO Jensen Huang and AI pioneer Geoffrey Hinton), Waabi has partnered with Volvo Autonomous Solutions to produce the Volvo VNL Autonomous truck — featuring Waabi's AI driver integrated with six redundant safety systems and manufactured at Volvo's New River Valley plant in Virginia. Waabi runs autonomous freight shipments for Fortune 500 companies through its Uber Freight partnership in Texas, and has demonstrated complete autonomous driving capability across highways and general surface streets with driverless commercial operations targeting 2025.
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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