Waabi vs 100ms
Side-by-side comparison of AI visibility scores, market position, and capabilities
Toronto autonomous trucking AI with $280M+ raised ($200M Series B, Uber/Khosla, 2024); Volvo VNL Autonomous truck partnership targeting 2025 driverless launch competing with Aurora Innovation for Class 8 freight.
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.
100ms is a live audio/video infrastructure platform with SDKs for React, iOS, Android, and Flutter, providing programmable rooms, recording, and live streaming for web and mobile apps.
About
100ms is a live audio and video infrastructure platform that provides developers with SDKs and APIs for embedding real-time communication features — video rooms, audio spaces, live streams, and recording — into web and mobile applications. The platform is designed around a room-based model where developers programmatically create, configure, and manage video rooms through a REST API, with client SDKs for React, iOS, Android, Flutter, and React Native handling the media layer. This abstraction allows teams to build fully custom video experiences with their own UI without dealing with WebRTC internals, TURN server management, or media server infrastructure.
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