Dreyev

Real-time computer vision driver monitoring for commercial auto insurers and fleet operators.

Data & Analytics Startup Seed

Overview

Dreyev is a driver safety technology company that uses computer vision and artificial intelligence to monitor driver attentiveness in real time and prevent distracted and drowsy driving. Founded in 2017 by Dr. Malgorzata (Maggie) Stys and Dr. Roberto Sicconi -- both veterans of the original IBM Watson team -- the company brings enterprise-grade AI to commercial vehicle safety.

The company's flagship product, the Walter Virtual Passenger System, acts as a virtual co-driver that continuously analyzes driver head pose, eye gaze, and eyelid closure to detect distraction and drowsiness, issuing real-time alerts before accidents occur. Dreyev serves commercial auto insurers and fleet operators seeking to reduce accident frequency and insurance losses through proactive driver monitoring.

Dreyev has partnered with Cover Whale Insurance Solutions to integrate its driver monitoring capabilities into commercial auto telematics programs, and has been featured at CES 2022 in collaboration with HERE Technologies for truck driver safety improvements.

Products & Services

Walter Virtual Passenger System

A computer vision platform that acts as a virtual co-driver, continuously monitoring driver conditions in real time to prevent crashes before they happen.

Key Features

Head pose and eye gaze analysis for distraction detection
Eyelid closure detection for drowsiness alerts
Real-time in-cab alerts to the driver
Machine learning-based custom driving habit models per driver
Fleet management dashboard with 100% monitoring coverage
Driver identification via facial recognition
Works with phone-based or dual/triple-channel dashcam hardware

Target Users: Commercial auto insurers, fleet operators, ride-share and transportation companies

Driver Monitoring API

An integration layer that allows commercial auto insurers and fleet operators to embed Dreyev's real-time driver safety monitoring into existing telematics and loss prevention programs.