Side-by-side comparison of AI visibility scores, market position, and capabilities
Autonomous middle-mile trucking. First US company to operate fully driverless trucks at commercial scale. $600M in contracts. Founded 2017, Mountain View. $273M raised.
Gatik AI was founded in 2017 in Mountain View, California, by researchers from Carnegie Mellon University and the University of Edinburgh with the mission of making autonomous trucking commercially viable by focusing on the middle mile — the fixed, repeatable B2B routes between distribution centers, warehouses, and retail locations. Unlike long-haul autonomous trucking companies pursuing complex, unpredictable highway routes, Gatik's operational design domain strategy restricts its vehicles to known, mapped corridors where the constrained environment allows for earlier commercial deployment and faster safety case accumulation.\n\nGatik operates Class 3–6 autonomous trucks on B2B delivery routes for major retail and logistics customers, including Walmart, Loblaw, and Georgia-Pacific. Its proprietary autonomy stack handles route navigation, obstacle detection, loading dock operations, and multi-stop delivery sequences within its defined operational corridors. Gatik became the first US company to commercially operate fully driverless trucks — with no safety driver onboard — at scale, a milestone that validates its safety case methodology and positions it ahead of competitors still requiring human supervision.\n\nGatik has secured $600M in contracted revenue from its customer base, providing revenue visibility unusual for an autonomous vehicle company at its stage. The company raised over $100M in total funding and has expanded its geographic footprint across multiple US states and Canada. Gatik's middle-mile focus, commercial driverless operations milestone, and long-term customer contracts differentiate it from both fully driverless trucking moonshots like Waymo Via and traditional fleet management technology companies, positioning it as the most commercially grounded autonomous middle-mile operator in North America.
Cloud-native automotive retail platform replacing legacy DMS for dealers. Founded by Tesla's former CIO; raised $150M+; based in Pleasanton, CA. Early adopters include major dealer groups demanding modern, unified cloud tech.
Tekion is a cloud-native automotive retail platform headquartered in Pleasanton, California, founded in 2016 by Jay Vijayan, former CIO of Tesla. The company set out to replace the legacy dealer management systems (DMS) that have dominated automotive retail for decades with a modern, unified platform built on a cloud-native microservices architecture. Tekion raised over $150M in funding and counts prominent automotive groups among its early adopters, demonstrating the market's appetite for a next-generation alternative to entrenched vendors like CDK Global and Reynolds & Reynolds. The company's Automotive Retail Cloud (ARC) platform spans the entire dealership operations lifecycle.\n\nTekion's ARC platform covers dealer management, CRM, digital retailing, parts and service management, F&I workflow, and business intelligence in a single integrated system. Because it was built cloud-native from inception—rather than retrofitted from legacy client-server software—Tekion delivers real-time data access, faster feature releases, and lower IT overhead than incumbent DMS providers. Its open API architecture enables integration with OEM systems, third-party tools, and data providers without the expensive middleware layers that legacy DMS deployments often require. Tekion also offers a consumer-facing digital retailing module that supports online deal structuring, trade-in valuations, and financing applications.\n\nTekion is targeting the $5B+ automotive software market, going head-to-head with CDK Global, Reynolds & Reynolds, and DealerSocket. Its modern architecture, founder pedigree, and strong backing from investors including General Atlantic position it as the most credible disruptor in automotive DMS in years. For dealer group operators seeking to reduce dependence on legacy vendors and gain real-time operational visibility, Tekion offers a compelling alternative that trades switching risk for long-term platform modernity and reduced per-rooftop software cost.
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