What We Do

Intvo focuses on providing smart software solutions that use AI to observe, classify, and predict pedestrian behavior, going beyond processing physical movement vectors in space. With human factors in mind, Intvo combines advanced vision systems with a complex and robust data set to bring true understanding of human behavior to the road and solidify confidence in self-driving cars with the help of AI.

Human-Like Perception

We are developing solutions through artificial intelligence to predict pedestrian behavior. Our vision is to improve safety for all road users.

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Improving the safety of an increasingly distracted world

Intvo’s AI software focuses on understanding and predicting pedestrian behavior in the context of autonomous cars and fleet vehicles. One of the barriers to the widespread adoption of autonomous vehicles is the failure of sensor technology to predict human behavior and modify vehicle operation or alert the driver to ensure safety. Autonomous vehicles cannot safely be deployed without software that accurately predicts pedestrian behavior.

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Real-Time Prediction Alert System

The system continuously monitors the road ahead and utilizes artificial intelligence to analyze potential hazards. When a threat is detected, the driver is warned with both visual and audio alerts.

Improving Driver Behavior

  • Driver awareness
  • Hard braking
  • Rapid acceleration
  • Speeding

Collision Prediction and Avoidance

  • Time to react
  • Lower insurance claims
  • Prevent accidents

Improving Vehicle Efficiency

  • Provide smoother ride
  • Reducing congestion
  • Optimizing fuel consumption

Enhancing Driver & Pedestrian Safety

  • Lower pedestrian fatalities
  • Enabling pedestrian – driver interactions
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Who We Work With

Who We Work With


What They Are Saying

We’re humbled to be working with such a great variety of clients that range from early stage startups to Fortune 500 companies.

James Gee

“While we get closer to seeing autonomous vehicles on the street safety becomes a primary concern. As the provider of public transportation in our region we welcome the opportunity to be part of this project with Intvo.”

James Gee
General Manager, TARTA

James Sayer

“By leveraging the success of the Ann Arbor connected environment and UMTRI’s expertise in connected vehicle and infrastructure deployment and research, Intvo is positioned to collect a substantial amount of data to enhance their algorithms in order to improve pedestrian safety. The UMTRI team looks forward to partnering with Intvo.”

James Sayer
Director, University of Michigan Transportation Research Institute

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