cycleye

Based in Singapore, cycleye develops an artificial intelligence-powered safety system that mounts directly onto bicycles to detect obstacles and prevent collisions. The hardware and software solution utilizes computer vision alongside integrated sensors to continuously monitor the surrounding environment and identify potential road hazards in real time. Upon detecting an impending danger, the device delivers immediate audiovisual alerts to the cyclist to facilitate rapid evasive action and reduce accident rates. The organization's executive and advisory team includes chief executive officer Matthew Chia, chief technology officer Jin Ming, and strategic adviser Agmon David Porat. The technology targets the broader micromobility sector, focusing on providing advanced accident prevention tools for both daily urban commuters and recreational cyclists. The enterprise was officially incorporated in 2023 by a core leadership team that includes Matthew Chia, Jin Ming, and Jai Kamdar.

High-Level Overview

Cycleye is a startup developing an AI-powered obstacle avoidance system for bicycles. It builds a mountable device using computer vision, sensors, and deep learning to detect obstacles, predict distances, and alert riders via audiovisual cues, creating safer cycling experiences.[5][6] The product targets cyclists worldwide, solving the problem of collisions in urban and varied environments by making advanced safety tech accessible and affordable, without relying on expensive traditional sensors.[5] As avid cyclists themselves, the team aims for an accident-free cycling environment and envisions enabling autonomous bicycles in the future.[6][8]

Origin Story

Cycleye was founded by a team of passionate cyclists, including Jin Ming as CTO, driven by personal experiences to eliminate cycling accidents.[6] The idea emerged from the need for reliable, low-cost obstacle detection, leveraging AI and camera-based systems over pricier alternatives.[5] Early focus centered on computer vision for object detection and AI depth sensing trained via deep learning, positioning it as "from cyclist to cyclist" innovation.[5][6] Specific founding year and pivotal traction details remain limited in available sources, but the company's momentum builds on reimagining cycling safety through connected tech.[8]

Core Differentiators

• AI-Driven Accessibility: Uses camera-based object detection and deep learning for depth sensing, delivering reliable obstacle tracking at lower cost than traditional distance-measuring hardware.[5]
• User-Centric Design: Mounts on any bicycle type, providing real-time audiovisual alerts for paths and hazards, prioritizing ease of use for everyday riders.[5][6]
• Scalable Vision: Trained models enable precise distance prediction and collision minimization, with potential extension to autonomous bike tech.[5][8]
• Cyclist-Focused Ecosystem: Built by riders for riders, fostering a community-oriented approach to safer, tech-enhanced cycling without complexity.[6]

Role in the Broader Tech Landscape

Cycleye rides the wave of AI integration in micromobility and urban transport, where growing bike adoption amid traffic congestion demands smarter safety solutions.[5] Timing aligns with rising cyclist numbers, e-bike proliferation, and AI advancements in edge computing, making real-time detection feasible on compact devices.[8] Market forces like urban density, road safety regulations, and demand for affordable autonomy favor it, especially as computer vision disrupts high-end sensors in consumer hardware.[5] It influences the ecosystem by democratizing advanced safety, potentially accelerating adoption of connected bikes and paving the way for fully autonomous urban cycling.

Quick Take & Future Outlook

Cycleye is poised to expand its AI companion into broader micromobility, integrating with e-bikes and smart helmets amid surging demand for collision-free rides.[5][8] Trends like edge AI efficiency, 5G connectivity for fleet tracking, and regulatory pushes for cyclist protection will shape its path, enabling scalable deployments in cities.[6] Its influence could evolve from niche safety add-on to core enabler of autonomous bicycles, transforming urban commuting—ultimately delivering on the promise of accessible, accident-free cycling for all.[5][8]