Proven results.
Independently validated.

Nauto’s AI safety system has been tested by the Virginia Tech Transportation Institute to measure alert speed, accuracy, and real-world crash prevention performance.

Third-party results 
you can trust

Anyone can publish internal metrics. Nauto partnered with the Virginia Tech Transportation Institute (VTTI) to measure system performance under controlled test conditions.

~2

X
reaction time vs. traditional fcw systems

3-5

seconds earlier on average for alerts

99

%
Alert Accuracy, validated by VTTI
Alert speed and accuracy

Alert speed and accuracy under real-world conditions

In a controlled test track study, VTTI evaluated how quickly and accurately Nauto alerts drivers to distraction-related risk.

Read the study →
Predictive Fusion Performance

Validating Predictive Fusion
in complex risk scenarios

VTTI also evaluated how Nauto’s Predictive Fusion AI performs when multiple risk factors occur simultaneously, including driver behavior, vehicle dynamics, and surrounding traffic conditions.

Explore the Risk Fusion study →
Real-world impact

Proven results across active fleets

Beyond controlled testing, fleets using Nauto see measurable
reductions in collisions, risky behaviors, and claims exposure.

behavior change at scale

Measurable improvements
in risky behavior

Real-time alerts and impact-focused coaching lead to sustained reductions in high-risk behaviors.

• 89% reduction in distracted driving
• 75% reduction in tailgating
• Sustained improvement in VERA™ scores over time

See how coaching drives results →
Collision reduction

Fewer collisions. Lower risk.

Fleets deploying Nauto report significant reductions in at-fault collisions and preventable incidents.

• 62% reduction in at-fault collisions (bpx energy)
• 68% reduction in collisions (KeHE Distributors)

View customer stories →
Measured. Tested. Verified.

See what independently validated safety looks like

Schedule a demo →