Artificial Intelligence | Machine Learning | Machine Perception Drover.ai | Micromobility Platform for Smart Cities


Enterprise, Automotive, Mobility In Cities, Eco Systems, Fleet Data Management Los Angeles, California, United States

Drover.ai

Artificial Intelligence | Machine Learning | Machine Perception


Drover.ai | Micromobility Platform for Smart Cities

Drover.ai

Automotive, Mobility In Cities, Eco Systems, Fleet Data Management


Los Angeles, California, United States

Our mission is to build a technology platform that elevates the micro-mobility industry and ties into the smart city eco-systems of the future by leveraging AI and mobile sensing capabilities. Drover is using AI and machine learning to remove the primary pain points experienced by shared micro-mobility users, cities, and operators. Beyond micro-mobility, Drover has the capability to harvest and manage various sets of valuable data with our proprietary sensor fusion technology. Designed to be used on legacy fleet scooters and bikes or any other conceivable LEVs. Sidewalk detection enables real-time vehicle level control or user notification. This helps with regulatory compliance, demonstration of superior safety capabilities for city RFPs, and potential reduction of insurance costs. Ability to identify specific areas like covered parking garages or building lobbies and take real-time vehicle level control, preventing users from taking scooters in those areas and eliminating associated operational headaches. Granular location categorization in specifically designated categories like a sidewalk, bike lane, and street allows for more detailed insight into trip level data. Redundant GPS enables additional location services and mitigates loss and theft. Parking verification & management and the real-time ability to validate and enforce user parking in designated areas like parking corrals or bike rack infrastructure. Drover’s PathPilot provides a single standardized and uniform method for cities to manage regulatory compliance across multiple operators simultaneously.

 

B2B

26 to 50

Series A

$5.4M

Scaling Up

2020

 
 

Information Technology and Services
Automotive

Compliance Across Multiple Operators
Identical Compliance & Safety Capability
More Detailed Insight

Increase Productivity
Increase Efficiency

 
 

Service

Yes

Active

 
 

   Machine Learning
   Machine Perception
   Natural Language Processing


Automotive

Automotive

Fleet Automation

Fleet Automation


Video

Video

Text

Text

Structured

Structured

 

   Software


Python

Python

JavaScript

JavaScript

Typescript

Typescript

Node.js

Node.js

Django

Django

Kubernetes

Kubernetes

Tensorflow

Tensorflow

C/C++

C/C++

CSS

CSS


Deep Learning Algorithm

Deep Learning Algorithm

Machine Learning Algorithm

Machine Learning Algorithm

 
 
Christian S.


Christian S.
Co-Founder & Chief Executive Officer

Jamie Ahmed


Jamie Ahmed
Co-Founder and CTO

Alex Nesic


Alex Nesic
Co-Founder & Chief Business Officer

Max Scheder-Bieschin

Max Scheder-Bieschin
Co-Founder and Chief Financial

 
 

Potential Customers

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