Welcome to Vebits, a trailblazing Singapore-based company founded by a dynamic team of scientists and engineers with roots in prestigious institutions such as Carnegie Mellon, Stanford, NUS, and NTU. At Vebits, our foundation is built on cutting-edge technologies, with a primary focus on real-time scalable AI and image analytics solutions.
Vebits specializes in precision imaging dedicated to safety and automation. Our current focus areas include automated AI inspections, in-depth human (driver, operator) behavior analysis, cutting-edge collision warning systems, and visionary vision-based automation. We take pride in harnessing state-of-the-art technologies to deliver solutions that redefine industry standards.
Explore the world of Vebits, where innovation seamlessly meets expertise, and together, we shape the future of AI-driven imaging solutions.
Vebits employs a mobile App and scalable GPU cloud computing solutions to empower real-time road scanning and tracking of status.
Vebits revolutionizes asset management by automating precise tagging of road assets and drainage systems at regular driving speeds, seamlessly powered by AI and computer vision.
Vebits’ vision-based automation systems work 24/7, with precise performance. It builds in for remotely monitoring, automatic report generation upon completion.
Our lidar collision warning system is the most value to money, provides sub-centimeter accuracy and sufficient coverages for collision warning and automation.
Vebits develops mega-AI solutions that can utilize private, public clouds or mixed. Cloud AI is flexible, scalable and secure for AI SaaS solutions.
Ai-drive is the current state-of-the-art driver assistance system.
We are seeking passionate software engineers, data scientists, and civil engineers who thrive in dynamic startup cultures and embrace continuous learning experiences.
BS and MS in computer science, computer engineering, electrical engineering, civil engineering or equivalent experience.
Demonstrated strong ability to work as a team and execute within tight schedules.
Have strong communication skills in English.
Proven experience in video, image analysis using machine learning and deep learning.