AI is changing the game for physical operations. At Motive, it’s not just about innovation—it’s about real impact. We sat down with Nihar Gupta, Senior Director of Product, to learn how Motive is using AI and computer vision to revolutionize fleet operations.

Why AI matters

“Safety is at the heart of everything we do.”

Motive’s AI doesn’t just detect unsafe behavior—it helps prevent accidents in real time. Think phone use, drowsy driving, tailgating. Our AI catches it with up to 99% accuracy and alerts drivers instantly.

Real-world impact:

  • FusionSite Services saw an 89% drop in accidents
  • Ernst Concrete reduced unsafe behaviors by 97%—saving $6.5M
  • Western Express cut accidents by 66%

What makes Motive AI different?

“Not all AI is created equal.”

Most assume all AI dashcams are the same. They’re not. Accuracy and real-time performance separate Motive from the rest.

  • Edge processing: Our AI runs directly on the dashcam — so drivers get immediate feedback.
  • Precision: We obsess over the last few percentage points. Achieving 97–99% accuracy means addressing every edge case, not just the straightforward scenarios. Our AI technology is trained on the largest dataset in the industry, enabling it to detect 3-4x more unsafe driving behaviors than competitors.
  • First Responder Program: Detects 99% of major collisions within seconds and triggers EMS when needed. It’s already saving lives.

Behind the scenes: How it works

“Going from good to great takes real work.”

We built our AI team from the ground up, combining:

  • First-principles thinking
     We approach problems by breaking them down to their fundamentals, allowing us to design innovative solutions from the ground up rather than relying on legacy methods.
  • Cutting-edge research
    Our team stays at the forefront of machine learning and AI advancements, applying the latest breakthroughs to real-world challenges.
  • A world-class in-house annotations team to label edge cases and improve accuracy
     By tightly integrating expert human labeling into our pipeline, we’re able to continuously train and fine-tune our models on the hardest, most ambiguous examples.

We even use generative AI to create synthetic data for hard-to-capture scenarios (like crashes or driver fatigue). That boosts model performance even further.

More than just safety

Motive’s AI also boosts action and visibility:

  • Asset tracking: Real-time equipment monitoring has increased utilization by up to 70%
  • Quality control: Customers like Ernst Concrete use dashcam footage to assess concrete texture and resolve issues proactively
  • Back-office automation: AI helps streamline driver coaching, compliance, and more

What’s next?

“AI’s potential in the physical economy is just getting started.”

We’re expanding into:

  • Job site safety: Monitoring PPE use and compliance
  • Operational insights: AI that works for back-office teams, not just drivers
  • Scalable customization: Because one-size-fits-all doesn’t work for fleets

For enterprise leaders

“AI gives businesses real leverage.”

Larger fleets get the biggest ROI — fewer accidents, lower costs, better driver adoption. But it’s not plug-and-play. Success requires:

  • Pilots to evaluate accuracy
  • Customizable settings to match risk profiles
  • Commitment to long-term change management

Join the movement

Motive’s AI is already helping fleets work safer, smarter, and faster.

Want to dive deeper?
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