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Motive’s new President on how its hardware puts it ahead in physical AI

Five months into the job, Motive's president of go-to-market says the camera in the cab protects it from AI startups that may not last The post Motive’s new President on how its hardware puts it ahead in physical AI appeared first on FreightWaves .

Motive’s new President on how its hardware puts it ahead in physical AI

Thomas Hansen, Motive's new president of go-to-market, believes the company's hardware gives it a significant advantage in the physical AI market. At the American Trucking Associations' Management Conference & Exhibition, Hansen discussed Motive's new AI Agents, which anticipate and act on problems in physical operations. Agents transform safety and operations data into immediate action, turning the collected data into tangible results.

Hansen argues that the hardware components, such as cameras and in-house AI models, create a moat for Motive, providing a competitive edge over software-only AI firms. Motive has invested in two key areas: cameras and AI models that run on the edge devices. The company's AI Dashcam Plus can run over 30 models simultaneously, trained on data from nearly 100,000 customers.

These custom models outperform third-party solutions in trials, with Motive winning about three-quarters of the time. Agents can open maintenance work orders and alert managers when alerts meet fleet rules. The company's AI assistant, Atlas, will call drivers later this year to provide safety coaching. Hansen emphasizes that AI tools often stop at insights, but the real value lies in taking action.

Safety managers can use this technology to spend more time on corrective actions and training, ultimately reducing collision costs and improving safety. With $1.3 billion in funding and $600 million in annual recurring revenue, Motive is poised to expand its presence in the U.S., Canada, Mexico, and the United Kingdom, as the majority of fleets still rely on legacy technology.

Written by urgent.news from FreightWaves's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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