About velo.ai

Velo.ai develops Copilot, an AI-powered bike light and camera that enhances cyclist safety by providing real-time audible and visual warnings of approaching vehicles. By utilizing predictive risk estimation and video recording, Copilot helps cyclists navigate dangerous roads with greater situational awareness and documentation of incidents.

```xml <problem> Cyclists face significant safety risks from approaching vehicles, often lacking sufficient awareness of threats from behind. Existing bike lights and cameras offer limited real-time feedback and predictive capabilities to proactively mitigate these dangers. </problem> <solution> Velo.ai's Copilot is an AI-powered bike light and camera system designed to enhance cyclist safety through real-time audible and visual warnings of approaching vehicles. By employing predictive risk estimation, Copilot alerts cyclists to potential dangers, providing increased situational awareness. The integrated camera records rides, capturing valuable data and documenting incidents, offering cyclists a reliable companion for safer navigation on roadways. </solution> <features> - AI-powered predictive risk estimation to identify and assess potential threats from approaching vehicles. - Audible warnings to alert cyclists of vehicles approaching dangerously from behind. - Visual warnings through light pattern changes to enhance cyclist visibility and alert drivers. - Integrated camera for video recording of every ride, capturing valuable data and documenting incidents. - Smartphone pairing for enhanced visual warnings and data analysis. - Traffic-reactive light patterns that adjust based on surrounding traffic conditions. </features> <target_audience> The primary target audience includes cyclists who commute, train, or ride for recreation, seeking enhanced safety and situational awareness on the road. </target_audience> ```

What does velo.ai do?

Where is velo.ai located?

velo.ai is based in Pittsburgh, United States.

When was velo.ai founded?

velo.ai was founded in 2022.

How much funding has velo.ai raised?

velo.ai has raised 3000000.

Who founded velo.ai?

velo.ai was founded by Clark Haynes.

Clark Haynes - CEO

Location

Pittsburgh, United States

Founded

2022

Funding

3000000

Employees

4 employees

Major Investors

U.S. Department of Transportation

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velo.ai

Score: 100/100

AI-Generated Company Overview (experimental) – could contain errors

Executive Summary

velo.ai 1K+

Crunchbase

Founded 2022 – Pittsburgh, United States

Funding

Estimated Funding

$3M+

Major Investors

U.S. Department of Transportation

Team (<5)

Clark Haynes

CEO

Micol Marchetti-Bowick

CTO

Company Description

Problem

Cyclists face significant safety risks from approaching vehicles, often lacking sufficient awareness of threats from behind. Existing bike lights and cameras offer limited real-time feedback and predictive capabilities to proactively mitigate these dangers.

Solution

Velo.ai's Copilot is an AI-powered bike light and camera system designed to enhance cyclist safety through real-time audible and visual warnings of approaching vehicles. By employing predictive risk estimation, Copilot alerts cyclists to potential dangers, providing increased situational awareness. The integrated camera records rides, capturing valuable data and documenting incidents, offering cyclists a reliable companion for safer navigation on roadways.

Features

AI-powered predictive risk estimation to identify and assess potential threats from approaching vehicles.

Audible warnings to alert cyclists of vehicles approaching dangerously from behind.

Visual warnings through light pattern changes to enhance cyclist visibility and alert drivers.

Integrated camera for video recording of every ride, capturing valuable data and documenting incidents.

Smartphone pairing for enhanced visual warnings and data analysis.

Traffic-reactive light patterns that adjust based on surrounding traffic conditions.

Target Audience

The primary target audience includes cyclists who commute, train, or ride for recreation, seeking enhanced safety and situational awareness on the road.