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VA

velo.ai

This company develops AI-powered smart technology for bicycles that enhances cyclist safety through real-time awareness and communication. The system uses advanced sensors to monitor traffic, providing cyclists with audible and visual alerts about approaching vehicles. It also features reactive light patterns to signal drivers and automatically records rides for evidence.

Pittsburgh, United StatesFounded 202241K+ followers
Updated 20 months ago

Funding

$3M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

US
Funding rounds are not available yet.

Founders

Product

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.

Target Audience

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

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.
This profile is AI-generated and may contain inaccuracies.