Motive is expanding its Artificial Intelligence-driven fleet management platform with a new suite of integrated hardware and software tools designed to improve safety, reduce manual workloads and streamline physical operations.
The company unveiled the new technology during its Vision 26 innovation summit, positioning the updates to help fleets overcome fragmented systems and labour-intensive workflows.
The new capabilities consolidate data into a single view and automate complex workflows using AI, allowing teams to focus on safety and productivity.
“Every operations leader we talk to describes a common set of problems: their systems are too fragmented and their workflows are too manual. The answer is integration and automation,” said Shoaib Makani, CEO and co-founder of Motive.
“Motive has spent years breaking down the data silos. Now we’re helping our customers leverage AI to surface critical insights and automate interventions so they can run safer and more productive operations.”
AI Omnicam Plus
Among the most significant launches was the new AI Omnicam Plus system, which delivers 360-degree visibility around a vehicle through AI-powered cameras and real-time hazard detection.
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Built on Motive’s AI Dashcam Plus platform, the system can run more than 30 AI models simultaneously, enabling it to identify pedestrians, cyclists, vehicles and other road hazards in real time.
Drivers can view their surroundings through an in-cab monitor while receiving instant alerts designed to help prevent collisions.
AI Dashcam Plus
Motive also announced new capabilities for AI Dashcam Plus, its latest commercial vehicle AI dash cam, which combines telematics and cameras in a unified device while using AI to detect unsafe behaviour and alert drivers in real time.
AI Dashcam Plus enables teams to see more, act faster and prevent more collisions.
New capabilities include:
- Collision Avoidance: Two road-facing lenses enable AI Dashcam Plus to see like a human does. It tracks everything on the road, from cars to animals, and predicts where they are heading. By calculating if someone is about to cross the driver’s path, it delivers earlier, more accurate alerts that give drivers the seconds they need to react and prevent collisions.
- Automated Licence Plate Recognition: A 1440p zoom lens with a narrow field of view captures licence plates while a vehicle is in motion. This provides evidence for hit-and-runs, road rage, theft and other incidents to speed investigations and exonerate drivers.
- Speed Sign Detection: Advanced computer vision reads speed limit signs directly off the road instead of relying on map databases.
- Live two-way calling: Enables direct, hands-free communication between drivers and managers through the device. Managers can check in with drivers about issues such as fatigue or severe weather. Drivers can connect with managers instantly for updates without relying on mobile phones, reducing distraction and enabling faster response in critical moments.
Atlas AI Assistant
Motive also unveiled Atlas, its new AI assistant, which allows customers to ask questions, analyze data and take action in one place.
Powered by Motive AI, it provides insights instantly from across the platform, reducing the need to search across systems or rely on static reports.
Through Motive’s new Model Context Protocol (MCP) integration, Atlas extends beyond the Motive Dashboard into third-party AI tools, such as Claude and ChatGPT. By connecting Motive data with other internal and third-party data sources, Atlas can automate complex strategic tasks, such as benchmarking insurance rates and generating data-backed renegotiation proposals, in seconds.
Atlas also lives in the cab through the Motive Voice Assistant. The Voice Assistant brings this intelligence directly to drivers on the road and helps improve operational safety and communication. With simple voice commands such as “Hey Motive, call dispatch” or “Hey Motive, record video,” drivers can get help, capture critical information and stay connected without taking their eyes off the road.
Automations
Motive also introduced Automations, which enables organizations to move from insight to action instantly.
Critical work depends on manual monitoring, which can slow response times and allow issues to escalate. Automations trigger immediate action based on real-time signals, so managers no longer need to catch and respond to every issue themselves.
For example, if a vehicle reports a critical fault code, Motive can immediately contact the driver and instruct them to pull over before the driver or manager notices the issue. Automations acts in real time without waiting for human intervention.
Managers can apply Automations across safety, maintenance and operations to address time-sensitive and hard-to-monitor tasks.
AI Vision
Motive also introduced new ways AI Vision is automating manual tasks through computer vision.
Traditionally, drivers and field workers have had to manually document what they observe in the field, such as service issues or site hazards. AI Vision eliminates the manual process by observing the environment and automatically identifying and logging critical data in real time.
By transforming video into structured, actionable data, AI Vision addresses operational challenges across the physical economy, from public-sector infrastructure monitoring to construction-site safety.
For industries such as waste services, AI Vision provides operational benefits through specialized models for overage detection, recycling contamination detection and service verification.
Overage detection, for example, automatically identifies overfilled waste containers at the point of service. These insights allow organizations to verify work and bill for violations while helping right-size customer bins without requiring manual driver input.
